Reason Codes

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Email Codes

Code	Description
DCO	The email domain country is considered to be risky
DDN	The email domain does not exist in our email data provider’s registry (note: this domain might still have valid DNS record)
DHC	The email domain is considered to be high risk based on our email data provider’s proprietary algorithm (e.g. validaty, age, fraud history) for the category type of the company the email is tied to
DHI	The email domain is considered to be high risk based on our email data provider’s proprietary algorithm (e.g. validaty, age, fraud history) for the transaction industry it has been previously tied to (e.g. Banking / Finance, Gaming…)
DHN	The email domain is considered to be high risk across our data provider’s network based on their proprietary algorithm (e.g. validaty, age, fraud history)
DHR	The email domain is considered to be high risk based on our email data provider’s proprietary algorithm (e.g. validaty, age, fraud history) for the company the email owner is tied to
DLC	The email domain is considered to be low risk based on our email data provider’s proprietary algorithm (e.g. validaty, age, fraud history) for the category type of the company the email is tied to
DLR	The email domain is considered to be low risk based on our email data provider’s proprietary algorithm (e.g. validaty, age, fraud history)
DMR	The email domain is considered to be medium risk based on our email data provider’s proprietary algorithm (e.g. validaty, age, fraud history)
DNC	The email domain was created within the last 4 months
DRC	The email domain is tied to a category type (e.g. banking, webmail…) with high fraud rates
DRD	The email domain is considered to be risky for the Sardine network based on our data provider’s proprietary algorithm (e.g. validaty, age, fraud history)
DRR	The email domain is considered to be risky based on our data provider’s proprietary algorithm (e.g. validaty, age, fraud history)
DVC	The email domain is considered to be very high risk based on our email data provider’s proprietary algorithm (e.g. validaty, age, fraud history) for the company the email owner is tied to
DVI	The email domain is considered to be very high risk based on our email data provider’s proprietary algorithm (e.g. validaty, age, fraud history) for the transaction industry it has been previously tied to (e.g. Banking / Finance, Gaming…)
DVN	The email domain is considered to be very high risk across our data provider’s network based on their proprietary algorithm (e.g. validaty, age, fraud history)
E2Y	The email address was created within the last 2 years
E4Y	The email address was created more than 4 years ago
EA4	The email address was created within the last 4 months
EA6	The email address was created within the last 6 months
EAM	The email address was created within the last month
EAW	The email address was created within the last week
EAY	The email address was created within the last year
EDN	The email address does not exist
EEC	Multiple email addresses with similar handle patterns were recently queried at our email data provider for the company the email owner is tied to
EEI	Multiple email addresses with similar handle patterns were recently queried at our email data provider for the transaction industry it has been previously tied to (e.g. Banking / Finance, Gaming…)
EF1	The email address was confirmed as fraudulent to our email data provider by 1 of their customers
EF2	The email address was confirmed as fraudulent to our email data provider by 2 of their customers
EF3	The email address was confirmed as fraudulent to our email data provider by 3 or more of their customers
EFB	The email address mailbox is full (i.e. the owner has exceeded allowable capacity of email service
EFO	The email address was confirmed as fraudulent by you or another Sardine customer
EG1	The email address was confirmed as good to our email data provider by 1 of their customers
EG2	The email address was confirmed as good to our email data provider by 2 of their customers
EG3	The email address was confirmed as good to our email data provider by 3 of their customers
EG4	The email address was confirmed as good to our email data provider by 4 of their customers
EG5	The email address was confirmed as good to our email data provider by 5 of their customers
EG6	The email address was confirmed as good to our email data provider by 6 or more of their customers
EHR	The email address has high probability of being associated to fraud due to multiple risk factors based on our email data provider’s proprietary algorithm (e.g. validaty, age, fraud history)
EIS	The email address syntax is not valid
ELH	Not enough information was found for the provided email address to determine a risk assessment
ELL	The email address is linked to a low risk LinkedIn account (based on the account’s number of connections and posting activity)
ELS	The email address is linked to a low risk social media account (based on the account’s number of connections and posting activity) - e.g. Facebook, Yahoo, Pandora…
ELT	The email address is linked to a low risk Twitter account (based on the account’s number of connections and posting activity)
EME	The email address mailbox existed in the past and is no longer available
EMF	The email address was confirmed as suspected fraud multiple times across our email data provider’s customer network
EMI	The email address mailbox is no longer active
ENN	The email address handle contains numeric patterns
ENP	No email address was provided for risk assessment
ERS	The email address syntax follows patterns that have been found to be associated to fraud
ES4	The email address was first seen at least 4 years ago
ESF	The email address was confirmed as suspected fraud once across our email data provider’s customer network
ESY	The email address was first seen at least 1 year ago
ETA	Different variations of the email address which points to the same inbox were recently queried. For instance, if a.bc@gmail.com was queried before, then ab.c@gmail.com will be considered as tumbled.
EV3	The email address has been queried in a short amount of time to our email data provider by 3 of their customers
EV4	The email address has been queried in a short amount of time to our email data provider by 4 of their customers
EVH	The email address has been queried in a short amount of time to our email data provider by more than 4 of their customers
EDP	Disposable email domain
EDI	Invalid email domain
TLA	Expected level of activity for this email address over the last 24-hours.
TLB	Expected level of activity for this email address over the past 90 days.
TLC	Significant activity for this email address to or from risky services over the last 24 hours (Risky Service are specialized services handling transactions with numbers that are judged more likely to be malicious).
TLD	Significant activity on this email address to or from risky services over the last 90 days (Risky Service are specialized services handling transactions with numbers that are judged more likely to be malicious).
TLE	More than expected activity for this email address over the last 24-hours.
TLF	More than expected activity for this email address over the past 90 days.
TLG	Very significant activity for this email address to or from risky services over the last 24 hours (Risky Service are specialized services handling transactions with numbers that are judged more likely to be malicious).
TLH	Very significant activity on this email address to or from risky services over the last 90 days (Risky Service are specialized services handling transactions with numbers that are judged more likely to be malicious).
TLI	Very high volume of risk scoring traffic on this email address over the past 24 hours.
TLJ	Very high volume of risk scoring traffic on this email address over the past 90 days.
TLK	Behavior pattern that suggests this email address is being used by a software program.
TLN	This email address is invalid and could not have been used by a genuine end user.
TLO	This email address may have originated from a service providing temporary email addresses; these temporary addresses can be used to conceal the identity of the end user.

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Bank Codes

Code	Description
BVOV	The bank account is open and valid. This is derived using the routing number and account number.
BVCI	The bank account is either closed, invalid, or in a negative status. This is derived using the routing number and account number.
BVDRL	The bank account is either ineligible for a debit activity or deemed to have a high probability of return. This is derived using the routing number and account number.
BVONI	No information was found for the given bank account based on routing number and account number.
BAOM	The Bank account owner’s information matches the information provided. Compared using the first name and last name/business name.
BAONM	The bank account owner’s information does not match with the information provided. Compared using first name and last name/business name.
BANI	No information was found for the given bank account authentication.
BVSNI	The bank account requested for verification has not been contributed by the participant bank. This is supplementary information by third party bank data provider.
BVSCU	The bank account has been closed as a result of unacceptable use by the customer. This is supplementary information by third party bank data provider.
BVSCR	The bank account has been removed from the Contributor’s source. This is supplementary information by third party bank data provider.
BVSDA	The bank account will not accept any debit activity. This is supplementary information by third party bank data provider.
BVSCC	The bank account has been closed and removed from the Contributor’s source. This is supplementary information by third party bank data provider.
BVSCP	The bank account is closed in the last processing cycle. This is supplementary information by third party bank data provider.
BVSDB	The bank account has a history of available balance being less than zero. This is supplementary information by third party bank data provider.
BVSIA	The bank account provided is not a demand deposit account(non-DDA account). This is supplementary information by third party bank data provider.
BVSHR	The bank account has a high probability of return. This is supplementary information by third party bank data provider
BLIAR	Likely an invalid account number/routing number. This is derived using the routing number and account number.
BOBAONM	Bank account owner information does not with the information provided. Compared using first name and last name provided through open banking data provider.
BVSUC	Bank Data Provider performed account verification. This doesn’t mean verification was successful - it just means we receives some data from data provider. Please refer to other reason codes for the results of the verification.
BVERR	Bank Data Provider Error. The bank data provider returned error while trying to retrieve the bank account information.
BVEDPT	Bank Data Provider Timeout. The bank data provider timed out while trying to retrieve the bank account information.
BVEDIO	Bank Data Provider returned invalid owner information error, typically involving data quality errors where the input cannot be processed, e.g., strange unicode. This can be due to incorrect First Name or Last Name for personal bank accounts or incorrect Business Name for business bank accounts.
BVEIBS	Bank Data Provider returned invalid length for account number and routing number error. This can be due to incorrect account number or routing number or user entered incorrect account number or routing number.
BAOMP	Bank account owner’s information is partially matched. Compared using first name and last name/business name.
BANEW	The bank account is open valid and it has been open less than the first billing cycle
BALOWT	The bank account is open valid and it was opened recently
BAMEDT	The bank account is open valid and it has a medium tenure
BALNGT	The bank account is open valid and it The bank account has a long tenure
BPHM	The bank account owner’s phone number matches with the bank data provider
BPHNOM	The bank account owner’s phone number doesn’t match with the bank data provider
BDOBM	The bank account owner’s DOB matches with the bank data provider
BDOBNOM	The bank account owner’s DOB doesn’t match with the bank data provider
BTAXM	The bank account owner’s SSN or tax ID matches with the bank data provider
BTAXNOM	The bank account owner’s SSN or tax ID doesn’t match with the bank data provider
BADDRM	The bank account owner’s address matches with the bank data provider
BADDRNOM	The bank account owner’s address doesn’t match with the bank data provider
BEMAILM	The bank account owner’s email address matches with the bank data provider
BEMAILNOM	The bank account owner’s email address doesn’t match with the bank data provider
BACVST	The bank account is closed invalid and it was closed less than 30 days ago
BACST	The bank account is closed invalid and it was closed between D-30 and D-60
BACMT	The bank account is closed invalid and it was closed between D-60 and D-180
BACLT	The bank account is closed invalid and it was closed more than 180 days ago
BNIF	No bank information found by our data provider. This could be because our provider doesn’t have data for the given bank
BENI	Bank information not found by our provider when we expect data coverage for the given bank routing number

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Phone Codes

Code	Description
PAC	Some empty address fields where completed through address normalization for the address match check
PAU	The address provided in the request is an undeliverable address
PBA	The address provided in the request is a business address
PCF	The address provided in the request matches the address of a U.S.correctional facility
PCN	The first and last name provided in the request are combined in one field
PDA	The address provided in the request is a dual address (e.g. 123 Main St PO Box 99)
PDI	The phone record data has a death indicator (i.e. it has been identified as that person having died)
PDT	The phone record data retrieval timed out
PFN	A family name was found and used in the name matching calculation
PHR	The address provided in the request is for a high-rise (i.e. contains apartment or building sub-units)
PIA	The address provided in the request is inactive (e.g. new developments may have addresses but will be ‘inactive’ until somebody moves in. Or, after Hurricane Katrina, addresses in the affected area were marked as inactive for a time.)
PLA	The address provided in low tenure
PMA	The address provided in the request is tied to multiple active addresses (e.g. the address might be missing a suite or apartment number)
PMI	The address provided in the request is a military address
PNA	The address provided in the request is valid and has been normalized prior to calculating the match score
PNC	There is no name and address information associated with the phone number provided
PND	There is no network status information associated with the phone number provided
PNM	The phone number provided is not a mobile line type
PNN	A nickname was found and used in the name matching calculation (e.g. Bill matches with William)
PNO	The phone number provided has been matched with the identity information (e.g. name, address), and a newer ownership or association has recently been connected to the phone number
PNP	The phone number provided is a non-personal business line
PNS	The first and last name provided were swapped compared to the phone number records
PNU	The phone number provided has been updated
POD	The ownership match for the provided phone number was found prior to a disconnect date
POL	The phone number provided has been matched with the identity information (e.g. name, address) for more than 90 days (long tenure)
POO	The phone number provided has been matched with the identity information (e.g. name, address), and the ownership or association to this phone number was not recent, however, there is no known, newer ownership or association found, a.k.a., the ownership is ‘older’.
POS	The phone number provided has been matched with the identity information (e.g. name, address) for between 8 and 90 days (short tenure)
POU	The phone number provided has been matched with the identity information (e.g. name, address) for an unknown amount of time (unknown tenure)
POV	The phone number provided has been matched with the identity information (e.g. name, address) for less than 7 days (very short tenure)
PP3	The postal code provided matches the first 3 digits of the address on record for this phone number
PP5	The postal code provided matches the first 5 digits of the address on record for this phone number
PP6	The postal code provided matches the first 6 digits of the address on record for this phone number (Canadian phone numbers only)
PP9	The postal code provided matches the first 9 digits of the address on record for this phone number
PPM	The address provided is associated with a Private Mailbox operator (e.g. UPS Store)
PPN	The provided mobile phone number is not active (available for most carriers with consent)
PPO	The address provided is a PO Box
PPT	The provided phone number is currently in a ported state. Any number not currently on its original home carrier will have a PPT reason code. This is NOT indicative of a recent carrier port.
PPV	A successful person search verification was run for the provided phone number
PR1	The number of identities associated with the phone number has exceeded our phone data provider’s suggested limit. This could be an indication of a higher risk of fraudulent activity.
PRA	The address provided resulted in a better match than the normalized address
PRL	The provided phone number is associated with a high-risk line type (Non-Fixed VoIP or Prepaid MVNO) - (available for most carriers with consent)
PRM	The provided phone number identity matching was only based on raw user data
PS1	The person identity matched has multiple unique SSNs. This can indicate a higher risk of the identity being synthetic.
PS2	The person identity matched has multiple DOB records. This can indicate a higher risk of the identity being synthetic.
PS3	The person identity matched has a high number of relatives with the same/similar name. This may indicate the identity is synthetic.
PS4	The person identity matched has a SSN issued prior to either the submitted DOB or the selected person identity’s DOB (if no DOB was submitted). This can indicate a higher risk of the identity being synthetic.
PUV	The address provided could not be verified
PVA	The address provided is vacant (i.e. unoccupied in the past 90 days)
PXD	No driver’s license data available to match to submitted driver’s license parameters
TAA	Not enough activity or attributes to classify the transaction as either risky or trustworthy
TAB	Trustworthy category based on past behavior
TAC	Most trustworthy category based on past behavior
TAD	Risky category based on past behavior
TAE	High-risk category based on past behavior
TAF	Highest-risk category based on past behavior
TAG	This number has risky static attributes (like VOIP phone type or being on a blocklist) -
TBA	Much less than expected activity, or none at all, for this number over the past 90 days. Cannot classify.
TBB	More than expected activity for this number over the past 90 days.
TBC	More than expected activity for this number over the last 24 hours.
TBD	Expected activity for this number over the past 90 days.
TBE	Expected activity for this number over the last 24 hours.
TBF	Sparse, regular volume of phone risk scoring traffic across our network on this number over the past 90 days.
TBG	Continuous, regular volume of phone risk scoring traffic across our network on this number over the past 90 days.
TBH	Very high volume of phone risk scoring traffic across our network on this number over the past 90 days.
TBI	Very high volume of phone risk scoring traffic across our network on this number over the past 24 hours.
TBJ	Very low volume of phone risk scoring traffic across our network, or none at all, was ever observed on this number.
TBK	Low volume of phone risk scoring traffic across our networkon this phone number over the past 90 days.
TBN	Low volume of phone risk scoring traffic across our network on this phone number over the past 24 hours. Very low volume of phone risk scoring traffic, or none at all over the past 90 days.
TBO	Less than expected activity for this number.
TCA	Very little activity, or none at all, for a risky range that this number belongs to over the past 90 days. Also returned if the number does not belong to a risky range.
TCB	Some activity for a risky range that this number belongs to over the past 90 days.
TCC	Significant activity for a risky range that this number belongs to over the last 24 hours.
TCD	Significant activity for a risky range that this number belongs to over the past 90 days.
TCE	Very significant activity for a risky range that this number belongs to over the last 24 hours.
TCF	Very significant activity for a risky range that this number belongs to over the past 90 days.
TCG	Extremely significant activity for a risky range that this number belongs to over the past 90 days.
TCH	Extremely significant activity for a risky range that this number belongs to over the last 24 hours.
TDA	Significant activity on this number to or from risky services over the past 90 days.
TDB	Very significant activity on this number to or from risky services over the past 90 days.
TDC	Behavior pattern that suggests this number is being used by a bot. Although we expect a submitted number engaged in A2P traffic to communicate with automated systems, we don’t expect the user of that number to be an automated system.
TDD	Phone risk scoring traffic on risky services on this number over the past 90 days.
TDE	Phone risk scoring traffic on risky services on this number over the past 24 hours.
TDF	High volume of phone risk scoring traffic on risky services on this number over the past 90 days.
TDG	High volume of phone risk scoring traffic on risky services on this number over the past 24 hours.
TDH	Phone risk scoring traffic on risky services on the range this number belongs to over the past 90 days.
TDI	Phone risk scoring traffic on risky services on the range this number belongs to over the past 24 hours.
TDJ	High volume of phone risk scoring traffic on risky services on the range this number belongs to over the past 90 days.
TDK	High volume of phone risk scoring traffic on risky services on the range this number belongs to over the past 24 hours.
TDL	Very high volume of phone risk scoring traffic on risky services on this number over the past 90 days.
TDM	Very high volume of phone risk scoring traffic on risky services on this number over the past 24 hours.
TDN	Very high volume of phone risk scoring traffic on risky services on the range this number belongs to over the past 90 days.
TDO	Very high volume of phone risk scoring traffic on risky services on the range this number belongs to over the past 24 hours.
TDP	Extremely high volume of phone risk scoring traffic in a very short period (less than 1 hour) on the range this number belongs to.
TMA	This number was seen in phone risk scoring traffic in the last 1 day.
TMB	This number was seen in phone risk scoring traffic in the last 7 days.
TMC	This number was seen in phone risk scoring traffic in the last 15 days.
TNA	This number was seen in phone risk scoring traffic in the last 1 month.
TNB	This number was seen in phone risk scoring traffic in the last 2 months.
TNC	This number was seen in phone risk scoring traffic in the last 3 months.
TOA	This number was not seen in phone risk scoring traffic in the last 3 months.
TKA	This is a premium number.
TKB	This is a VOIP number.
TKC	This is a toll-free number.
TKD	This is an invalid number.
TKH	This number is associated with a payphone.
TKI	This is a voicemail number.
TKJ	This number is associated with a pager.
TKK	This number has another phone type that is risky, and that is not covered by any of the other number_type reason codes.
TKL	This number is associated with a very risky carrier.
TKM	This number is associated with a risky carrier.
TKN	This number has a risky prefix.
TKO	This number is invalid because it is too long, even after the application of cleansing rules.
TKP	This number has been flagged as a source of fraud. Intelligence always recommends to block this number.
TKQ	The country code of this number is for a risky country, one that originates a disproportionate share of fraud attacks.
TKR	This number is used for special technical purposes by telecom companies, such as for roaming.
TKS	Telesign reserved this number for use by customers with our applications (for example to send verification messages), but it appears that it is being used for a different purpose.
TKU	This number is too short to be a valid phone number.

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Behavior Codes

Code	Description
BBEK	Expert Key usage detected
BBAF	AutoFill detected in LTM (longterm-memory) Fields
BBCP	Copy Paste detected in LTM fields
SCM	Scam or social engineering

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Identity Codes

Code	Description
INM	Identity mismatch between Onboarding and Sardine’s ID data partners
BAM	Identity mismatch between Onboarding and Sardine’s bank data partners
BPM	Identity mismatch between Onboarding and Sardine’s bank data partners

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Document Verification Codes

Code	Description
AUT	The authentication tests passed.
AUF	At least one authentication test failed.
AUD	At least one authentication test was indecisive.
ASS	Authentication tests were done only on a single side.
EXO	Because of no authentication tests are applicable for the detected document type
EXD	Data extraction only by client request.
DEX	The document is expired.
LQI	Quality of the document image is low.
ANP	Some authenticity checks were not performed.
MPN	The pages of the multi-page document do not match.
RMC	Primary result has changed based on risk management configuration.
PRD	The processing request was rejected.
DNR	The document was not recognized.
MQI	Multiple quality issues prevent data extraction and authentication.
NID	Non-ID document.
PIQ	The request has been denied due to poor image quality.
BLD	The document is in block-list.
BFD	The document is in flagged list.
SSI	The second side is expected to this supported ID.
SSD	The second side is not supported on this ID.
SSN	The second side was ignored due to irrelevancy.
BQI	Barcode was expected for this document but could not be extracted due to quality issues.
BDI	Barcode was expected for this document but could not be decoded.
MDC	Manual review is triggered due to a predefined customer rule
MDD	Document was processed by Manual review.
MCD	Manual review detected two images on the same file.
MIC	Manual review detected incomplete document.
MFD	Manual review failed to recognize document or language.
MBW	Manual review detected black and white image.
MSI	Primary Result was altered due to the mandatory second side rule.
DLD	Manual review detected destroyed language or document.
DNE	Document recognized
MSN	Manual inspection service is not available.
MST	Manual inspection service timeout exceeded.
MDQ	Manual inspection daily quota exceeded.
DFG	Document is forged
DFI	Document’s forged check was indecisive
FMS	Document mismatch with selfie
DIU	Document information doesn’t match with user-provided information
SDC	Low risk ID document verification result

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TaxID Codes

Code	Description
SDP	Subject reported deceased
SSF	Subject has placed a security freeze on their SSN file
SAC	Current Address Conflict
SAF	Address First Reported < 90 Days
ANO	Current Address Not On-file
SDV	SSN Issue Date Cannot Be Verified
FEM	The age of the consumer is younger than the issue date of the SSN
IAWF	Address Reported Associate With Business Higher Potential Fraud Activity
IAWB	Address Reported Associate With Business
ANM	SSN used is more closely associated with another consumer
AAM	The SSN provided is not a valid number as reported by the SSA
ARF	Address Reported with past Fraud
OAF	On-File Address Reported Associate With Business Higher Potential Fraud Activity
OAB	On-File Address Reported Associate With Business
OARF	On-File Address Reported with past Fraud
SOP	Best On-File SSN Recorded As Deceased
SOD	Best On-File SSN Issue Date Cannot Be Verified
PAI	All trades are bankcard trades with phone-address inconsistencies in non-credit data verification
INO	Input SSN does not match on-file SSN
DDA	Different DOB (age) than past application linked to the current applicant
SNA	Input SSN exact match to at least one other but input name and address not connected
SNV	New credit profile with unverifiable SSN or address matches to a different name in non-credit data
TIQ	More than 2 inquiries with the same name and address in the last 28 days
MAI	Multiple address inconsistencies in last 7 days and SSN seen with different phones in last 90 days
SPNM	SSN seen with different phone more than 15 times in last 90 days or input phone does not match on-file phone at least twice in last 90 days
NASM	Name and address seen multiple times in last 90 days with different SSN
PSMT	Phone seen multiple times in last 90 days with different last names
MFSI	Multiple Fraud Shield indicators triggered or unverifiable SSN
PDNV	One or more PII data elements not verified
TMIQ	Too many inquires in last 90 days where name and address don’t match best on-file and no change of address
FMCI	5 or more credit inquiries in the last 14 days
SPNA	Same SSN phone or name and address seen more than 3 times in last 7 days
STUT	More than 3 unique trades with same SSN in last 28 days
PFUT	More than 4 unique tradelines with same phone number in last 90 days
NADP	Greater than 50% of tradelines in last 90 days have same name and address but different phone occurred in last 7 days
IENM	No match to any IEN repository records
IENK	No search keys generated for IEN
AAL	Low risk Abuse Score based on our TaxID data provider’s categorization of the provided name or SSN as nonsense
ABL	Low risk Abuse Score based on our TaxID data provider’s categorization of the provided SSN being a randomly issued SSN
ABM	High risk Abuse Score based on our TaxID data provider’s categorization of the provided SSN being a randomly issued SSN
ACL	Low risk Abuse Score based on our TaxID data provider’s categorization of the provided SSN belonging to another person not yet credit active
ACM	High risk Abuse Score based on our TaxID data provider’s categorization of the provided SSN belonging to another person not yet credit active
ADL	Low risk Abuse Score based on our TaxID data provider’s validation of the consumer’s address history
ADM	High risk Abuse Score based on our TaxID data provider’s validation of the consumer’s address history
AEL	Low risk Abuse Score based on our TaxID data provider’s validation of the consumer’s DOB
AEM	High risk Abuse Score based on our TaxID data provider’s validation of the consumer’s DOB
AFL	Low risk Abuse Score based on our TaxID data provider’s validation of the consumer’s phone history
AFM	High risk Abuse Score based on our TaxID data provider’s validation of the consumer’s phone history
AGL	Low risk Abuse Score based on our TaxID data provider’s categorization of the consumer being tied to an ITIN
AGM	High risk Abuse Score based on our TaxID data provider’s categorization of the consumer being tied to an ITIN
AHL	Low risk Abuse Score based on our TaxID data provider’s categorization of the supplied information corresponding to a deceased individual
AHM	High risk Abuse Score based on our TaxID data provider’s categorization of the supplied information corresponding to a deceased individual
AIL	Low risk Abuse Score based on our TaxID data provider’s categorization of the SSN being tied to a clump of SSNs empirically used for fraud
AIM	High risk Abuse Score based on our TaxID data provider’s categorization of the SSN being tied to a clump of SSNs empirically used for fraud
AJL	Low risk Abuse Score based on our TaxID data provider’s categorization of the consumer being tied to addresses linked to synthetic fraud
AJM	High risk Abuse Score based on our TaxID data provider’s categorization of the consumer being tied to addresses linked to synthetic fraud
AKL	Low risk Abuse Score based on our TaxID data provider’s categorization of the depth of the consumer’s history with this information
AKM	High risk Abuse Score based on our TaxID data provider’s categorization of the depth of the consumer’s history with this information
ALL	Low risk Abuse Score based on our TaxID data provider’s categorization of the consumer’s history start time aligning with the expected record start time
ALM	High risk Abuse Score based on our TaxID data provider’s categorization of the consumer’s history start time aligning with the expected record start time
AML	Low risk Abuse Score based on our TaxID data provider’s categorization of the consumer being tied to fraud code records
AMM	High risk Abuse Score based on our TaxID data provider’s categorization of the consumer being tied to fraud code records
ANL	Low risk Abuse Score based on our TaxID data provider’s categorization of there being a better owner for the SSN
AOL	Low risk Abuse Score based on our TaxID data provider’s categorization of the consumer appearing to have a better SSN
AOM	High risk Abuse Score based on our TaxID data provider’s categorization of the consumer appearing to have a better SSN
APL	Low risk Abuse Score based on our TaxID data provider’s categorization of how well the supplied information matches Manifest records
APM	High risk Abuse Score based on our TaxID data provider’s categorization of how well the supplied information matches Manifest records
AQL	Low risk Abuse Score based on our TaxID data provider’s categorization of whether other applications match aspects of this application’s information
AQM	High risk Abuse Score based on our TaxID data provider’s categorization of whether other applications match aspects of this application’s information
ARL	Low risk Abuse Score based on our TaxID data provider’s categorization of attributes of addresses that the consumer is tied to
ARM	High risk Abuse Score based on our TaxID data provider’s categorization of attributes of addresses that the consumer is tied to
ASL	Low risk Abuse Score based on our TaxID data provider’s categorization of whether aspects of the supplied PII correspond to bankruptcies
ASM	High risk Abuse Score based on our TaxID data provider’s categorization of whether aspects of the supplied PII correspond to bankruptcies
ATL	Low risk Abuse Score based on our TaxID data provider’s categorization of whether the consumer is tied to security freezes
ATM	High risk Abuse Score based on our TaxID data provider’s categorization of whether the consumer is tied to security freezes
AUL	Low risk Abuse Score based on our TaxID data provider’s categorization of whether the SSN might belong to an associate
AUM	High risk Abuse Score based on our TaxID data provider’s categorization of whether the SSN might belong to an associate
AVL	Low risk Abuse Score based on our TaxID data provider’s categorization of whether the supplied phone number corresponds to a risky carrier or line type
AVM	High risk Abuse Score based on our TaxID data provider’s categorization of whether the supplied phone number corresponds to a risky carrier or line type
AWL	Low risk Abuse Score based on our TaxID data provider’s categorization of whether the email domain or structure of the handle are suspicious
AWM	High risk Abuse Score based on our TaxID data provider’s categorization of whether the email domain or structure of the handle are suspicious
FAL	Low risk First Party Score based on our TaxID data provider’s categorization of whether the supplied name or SSN is nonsense
FAM	High risk First Party Score based on our TaxID data provider’s categorization of whether the supplied name or SSN is nonsense
FBL	Low risk First Party Score based on our TaxID data provider’s categorization of whether the supplied SSN is a randomly issued SSN
FBM	High risk First Party Score based on our TaxID data provider’s categorization of whether the supplied SSN is a randomly issued SSN
FCL	Low risk First Party Score based on our TaxID data provider’s categorization of whether the supplied SSN might belong to another person not yet credit activ
FCM	High risk First Party Score based on our TaxID data provider’s categorization of whether the supplied SSN might belong to another person not yet credit activ
FDL	Low risk First Party Score based on our TaxID data provider’s categorization of whether the supplied SSN aligns with the consumer’s address history
FDM	High risk First Party Score based on our TaxID data provider’s categorization of whether the supplied SSN aligns with the consumer’s address history
FEL	Low risk First Party Score based on our TaxID data provider’s categorization of whether the supplied SSN aligns with the consumer’s DOB
FFL	Low risk First Party Score based on our TaxID data provider’s categorization of whether the phone aligns with the consumer’s history
FFM	High risk First Party Score based on our TaxID data provider’s categorization of whether the phone aligns with the consumer’s history
FGL	Low risk First Party Score based on our TaxID data provider’s categorization of whether the consumer is tied to an ITIN
FGM	High risk First Party Score based on our TaxID data provider’s categorization of whether the consumer is tied to an ITIN
FHL	Low risk First Party Score based on our TaxID data provider’s categorization of whether any of the supplied information corresponds to a deceased individual
FHM	High risk First Party Score based on our TaxID data provider’s categorization of whether any of the supplied information corresponds to a deceased individual
FIL	Low risk First Party Score based on our TaxID data provider’s categorization of whether the SSN is tied to a clump of SSNs empirically used for fraud
FIM	High risk First Party Score based on our TaxID data provider’s categorization of whether the SSN is tied to a clump of SSNs empirically used for fraud
FJL	Low risk First Party Score based on our TaxID data provider’s categorization of whether the consumer is tied to addresses linked to synthetic fraud
FJM	High risk First Party Score based on our TaxID data provider’s categorization of whether the consumer is tied to addresses linked to synthetic fraud
FKL	Low risk First Party Score based on our TaxID data provider’s categorization of the depth of the consumer’s history with this information
FKM	High risk First Party Score based on our TaxID data provider’s categorization of the depth of the consumer’s history with this information
FLL	Low risk First Party Score based on our TaxID data provider’s categorization of how well the start time of the consumer’s history aligns with the expected start time
FLM	High risk First Party Score based on our TaxID data provider’s categorization of how well the start time of the consumer’s history aligns with the expected start time
FML	Low risk First Party Score based on our TaxID data provider’s categorization of whether the consumer is tied to fraud code records
FMM	High risk First Party Score based on our TaxID data provider’s categorization of whether the consumer is tied to fraud code records
FNL	Low risk First Party Score based on our TaxID data provider’s categorization of whether there is a better owner for the SSN
FNM	High risk First Party Score based on our TaxID data provider’s categorization of whether there is a better owner for the SSN
FOL	Low risk First Party Score based on our TaxID data provider’s categorization of whether the consumer appears to have a better SSN
FOM	High risk First Party Score based on our TaxID data provider’s categorization of whether the consumer appears to have a better SSN
FPL	Low risk First Party Score based on our TaxID data provider’s categorization of how well the supplied information matches Manifest records
FPM	High risk First Party Score based on our TaxID data provider’s categorization of how well the supplied information matches Manifest records
FQL	Low risk First Party Score based on our TaxID data provider’s categorization of whether other applications in SentiLink’s system match aspects of this application’s information
FQM	High risk First Party Score based on our TaxID data provider’s categorization of whether other applications in SentiLink’s system match aspects of this application’s information
FRL	Low risk First Party Score based on our TaxID data provider’s categorization of attributes of addresses that the consumer is tied to
FRM	High risk First Party Score based on our TaxID data provider’s categorization of attributes of addresses that the consumer is tied to
FSL	Low risk First Party Score based on our TaxID data provider’s categorization of whether aspects of the supplied PII correspond to bankruptcies
FSM	High risk First Party Score based on our TaxID data provider’s categorization of whether aspects of the supplied PII correspond to bankruptcies
FTL	Low risk First Party Score based on our TaxID data provider’s categorization of whether the consumer is tied to security freezes
FTM	High risk First Party Score based on our TaxID data provider’s categorization of whether the consumer is tied to security freezes
FUL	Low risk First Party Score based on our TaxID data provider’s categorization of whether the SSN might belong to an associate
FUM	High risk First Party Score based on our TaxID data provider’s categorization of whether the SSN might belong to an associate
FVL	Low risk First Party Score based on our TaxID data provider’s categorization of whether the supplied phone number corresponds to a risky carrier or line type
FVM	High risk First Party Score based on our TaxID data provider’s categorization of whether the supplied phone number corresponds to a risky carrier or line type
FWL	Low risk First Party Score based on our TaxID data provider’s categorization of whether the email domain or structure of the handle are suspicious
FWM	High risk First Party Score based on our TaxID data provider’s categorization of whether the email domain or structure of the handle are suspicious
IAAL	Low risk ID Theft Score based on our TaxID data provider’s categorization of whether the applicant appears to be the best owner of the email
IAAM	High risk ID Theft Score based on our TaxID data provider’s categorization of whether the applicant appears to be the best owner of the email
IABL	Low risk ID Theft Score based on our TaxID data provider’s categorization of whether the application information contains a mix of information from different consumers
IABM	High risk ID Theft Score based on our TaxID data provider’s categorization of whether the application information contains a mix of information from different consumers
IACL	Low risk ID Theft Score based on our TaxID data provider’s categorization of whether there is unusual geographic activity associated with the phone number
IACM	High risk ID Theft Score based on our TaxID data provider’s categorization of whether there is unusual geographic activity associated with the phone number
IADL	Low risk ID Theft Score based on our TaxID data provider’s categorization of whether the applicant appears to be the best owner of the phone
IADM	High risk ID Theft Score based on our TaxID data provider’s categorization of whether the applicant appears to be the best owner of the phone
IAEL	Low risk ID Theft Score based on our TaxID data provider’s categorization of the number of recent applications associated with the phone
IAEM	High risk ID Theft Score based on our TaxID data provider’s categorization of the number of recent applications associated with the phone
IAFL	Low risk ID Theft Score based on our TaxID data provider’s categorization of whether the application’s IP address is from a risky VPN
IAFM	High risk ID Theft Score based on our TaxID data provider’s categorization of whether the application’s IP address is from a risky VPN
IAGL	Low risk ID Theft Score based on our TaxID data provider’s categorization of whether the IP address aligns with the applicant’s physical address history
IAGM	High risk ID Theft Score based on our TaxID data provider’s categorization of whether the IP address aligns with the applicant’s physical address history
IAHL	Low risk ID Theft Score based on our TaxID data provider’s categorization of whether the applicant has a suspicious gap in history
IAHM	High risk ID Theft Score based on our TaxID data provider’s categorization of whether the applicant has a suspicious gap in history
IAIL	Low risk ID Theft Score based on our TaxID data provider’s categorization of the length of history of the email
IAIM	High risk ID Theft Score based on our TaxID data provider’s categorization of the length of history of the email
IAJL	Low risk ID Theft Score based on Whether the IP address has had suspicious application activity.
IAJM	High risk ID Theft Score based on Whether the IP address has had suspicious application activity.
IAKL	Low risk ID Theft Score based on Whether application information is tied to an associate.
IAKM	High risk ID Theft Score based on Whether application information is tied to an associate.
IAL	Low risk ID Theft Score based on our TaxID data provider’s categorization of whether the supplied name or SSN is nonsense
IALL	Low risk ID Theft Score based on Whether the IP address belongs to a risky ISP, mobile carrier etc.
IALM	High risk ID Theft Score based on Whether the IP address belongs to a risky ISP, mobile carrier etc.
IAM	High risk ID Theft Score based on our TaxID data provider’s categorization of whether the supplied name or SSN is nonsense
IEL	Low risk ID Theft Score based on Whether the supplied SSN aligns with the consumer’s DOB.
IEM	High risk ID Theft Score based on Whether the supplied SSN aligns with the consumer’s DOB.
IHL	Low risk ID Theft Score based on our TaxID data provider’s categorization of whether any of the supplied information corresponds to a deceased individual
IHM	High risk ID Theft Score based on our TaxID data provider’s categorization of whether any of the supplied information corresponds to a deceased individual
IIL	Low risk ID Theft Score based on our TaxID data provider’s categorization of whether the SSN is tied to a clump of SSNs empirically used for fraud
IIM	High risk ID Theft Score based on our TaxID data provider’s categorization of whether the SSN is tied to a clump of SSNs empirically used for fraud
IKL	Low risk ID Theft Score based on The depth of the consumer’s history with this information.
IKM	High risk ID Theft Score based on The depth of the consumer’s history with this information.
IML	Low risk ID Theft Score based on our TaxID data provider’s categorization of whether the consumer is tied to fraud code records
IMM	High risk ID Theft Score based on our TaxID data provider’s categorization of whether the consumer is tied to fraud code records
INL	Low risk ID Theft Score based on Whether there is a better owner for the SSN.
IOL	Low risk ID Theft Score based on Whether the consumer appears to have a better SSN.
IOM	High risk ID Theft Score based on Whether the consumer appears to have a better SSN.
IPL	Low risk ID Theft Score based on How well the supplied information matches Manifest records.
IPM	High risk ID Theft Score based on How well the supplied information matches Manifest records.
IQL	Low risk ID Theft Score based on our TaxID data provider’s categorization of whether other applications in SentiLink’s system match aspects of this application’s information
IQM	High risk ID Theft Score based on our TaxID data provider’s categorization of whether other applications in SentiLink’s system match aspects of this application’s information
IVL	Low risk ID Theft Score based on our TaxID data provider’s categorization of whether the supplied phone number corresponds to a risky carrier or line type
IVM	High risk ID Theft Score based on our TaxID data provider’s categorization of whether the supplied phone number corresponds to a risky carrier or line type
IWL	Low risk ID Theft Score based on our TaxID data provider’s categorization of whether the email domain or structure of the handle are suspicious
IWM	High risk ID Theft Score based on our TaxID data provider’s categorization of whether the email domain or structure of the handle are suspicious
IXL	Low risk ID Theft Score based on our TaxID data provider’s categorization of how consistent the address is with the consumer’s history
IXM	High risk ID Theft Score based on our TaxID data provider’s categorization of how consistent the address is with the consumer’s history
IYL	Low risk ID Theft Score based on our TaxID data provider’s categorization of whether the address has a high velocity of applications
IYM	High risk ID Theft Score based on our TaxID data provider’s categorization of whether the address has a high velocity of applications
IZL	Low risk ID Theft Score based on our TaxID data provider’s categorization of whether the email has had suspicious application activity
IZM	High risk ID Theft Score based on our TaxID data provider’s categorization of whether the email has had suspicious application activity
SINM	High risk ID Theft Score based on Whether there is a better owner for the SSN.
STDL	Low risk Third Party Score based on our TaxID data provider’s categorization of whether the supplied SSN aligns with the consumer’s address history
STDM	High risk Third Party Score based on our TaxID data provider’s categorization of whether the supplied SSN aligns with the consumer’s address history
STIL	Low risk Third Party Score based on our TaxID data provider’s categorization of whether the SSN is tied to a clump of SSNs empirically used for fraud
STIM	High risk Third Party Score based on our TaxID data provider’s categorization of whether the SSN is tied to a clump of SSNs empirically used for fraud
STKL	Low risk Third Party Score based on our TaxID data provider’s categorization of the depth of the consumer’s history with this information
STKM	High risk Third Party Score based on our TaxID data provider’s categorization of the depth of the consumer’s history with this information
STWL	Low risk Third Party Score based on our TaxID data provider’s categorization of whether the email domain or structure of the handle are suspicious
STWM	High risk Third Party Score based on our TaxID data provider’s categorization of whether the email domain or structure of the handle are suspicious
TAL	Low risk Third Party Score based on our TaxID data provider’s categorization of whether the supplied name or SSN is nonsense
TAM	High risk Third Party Score based on our TaxID data provider’s categorization of whether the supplied name or SSN is nonsense
TBL	Low risk Third Party Score based on our TaxID data provider’s categorization of whether the supplied SSN is a randomly issued SSN
TBM	High risk Third Party Score based on our TaxID data provider’s categorization of whether the supplied SSN is a randomly issued SSN
TCL	Low risk Third Party Score based on our TaxID data provider’s categorization of whether the supplied SSN might belong to another person not yet credit activ
TCM	High risk Third Party Score based on our TaxID data provider’s categorization of whether the supplied SSN might belong to another person not yet credit activ
TEL	Low risk Third Party Score based on our TaxID data provider’s categorization of whether the supplied SSN aligns with the consumer’s DOB
TEM	High risk Third Party Score based on our TaxID data provider’s categorization of whether the supplied SSN aligns with the consumer’s DOB
TFL	Low risk Third Party Score based on our TaxID data provider’s categorization of whether the phone aligns with the consumer’s history
TFM	High risk Third Party Score based on our TaxID data provider’s categorization of whether the phone aligns with the consumer’s history
TGL	Low risk Third Party Score based on our TaxID data provider’s categorization of whether the consumer is tied to an ITIN
TGM	High risk Third Party Score based on our TaxID data provider’s categorization of whether the consumer is tied to an ITIN
THL	Low risk Third Party Score based on our TaxID data provider’s categorization of whether any of the supplied information corresponds to a deceased individual
THM	High risk Third Party Score based on our TaxID data provider’s categorization of whether any of the supplied information corresponds to a deceased individual
TJL	Low risk Third Party Score based on our TaxID data provider’s categorization of whether the consumer is tied to addresses linked to synthetic fraud
TJM	High risk Third Party Score based on our TaxID data provider’s categorization of whether the consumer is tied to addresses linked to synthetic fraud
TLL	Low risk Third Party Score based on our TaxID data provider’s categorization of how well the start time of the consumer’s history aligns with the expected start time
TLM	High risk Third Party Score based on our TaxID data provider’s categorization of how well the start time of the consumer’s history aligns with the expected start time
TML	Low risk Third Party Score based on our TaxID data provider’s categorization of whether the consumer is tied to fraud code records
TMM	High risk Third Party Score based on our TaxID data provider’s categorization of whether the consumer is tied to fraud code records
TNL	Low risk Third Party Score based on our TaxID data provider’s categorization of whether there is a better owner for the SSN
TNM	High risk Third Party Score based on our TaxID data provider’s categorization of whether there is a better owner for the SSN
TOL	Low risk Third Party Score based on our TaxID data provider’s categorization of whether the consumer appears to have a better SSN
TOM	High risk Third Party Score based on our TaxID data provider’s categorization of whether the consumer appears to have a better SSN
TPL	Low risk Third Party Score based on our TaxID data provider’s categorization of how well the supplied information matches Manifest records
TPM	High risk Third Party Score based on our TaxID data provider’s categorization of how well the supplied information matches Manifest records
TQL	Low risk Third Party Score based on our TaxID data provider’s categorization of whether other applications in SentiLink’s system match aspects of this application’s information
TQM	High risk Third Party Score based on our TaxID data provider’s categorization of whether other applications in SentiLink’s system match aspects of this application’s information
TRL	Low risk Third Party Score based on our TaxID data provider’s categorization of attributes of addresses that the consumer is tied to
TRM	High risk Third Party Score based on our TaxID data provider’s categorization of attributes of addresses that the consumer is tied to
TSL	Low risk Third Party Score based on our TaxID data provider’s categorization of whether aspects of the supplied PII correspond to bankruptcies
TSM	High risk Third Party Score based on our TaxID data provider’s categorization of whether aspects of the supplied PII correspond to bankruptcies
TTL	Low risk Third Party Score based on our TaxID data provider’s categorization of whether the consumer is tied to security freezes
TTM	High risk Third Party Score based on our TaxID data provider’s categorization of whether the consumer is tied to security freezes
TUL	Low risk Third Party Score based on our TaxID data provider’s categorization of whether the SSN might belong to an associate
TUM	High risk Third Party Score based on our TaxID data provider’s categorization of whether the SSN might belong to an associate
TVL	Low risk Third Party Score based on our TaxID data provider’s categorization of whether the supplied phone number corresponds to a risky carrier or line type
TVM	High risk Third Party Score based on our TaxID data provider’s categorization of whether the supplied phone number corresponds to a risky carrier or line type
UIL	The location of issuance of the TaxID is returned as ‘random’ from the TaxID enrichment provider.
TSNM	taxId check was not performed due to missing SSN
TIVZ	taxId check was not performed due to invalid zip code
TIVS	taxId check was not performed due to invalid SSN
TIVP	taxId check was not performed due to invalid phone
TIVE	taxId check was not performed due to invalid email
TIVD	taxId check was not performed due to invalid dob
TIVR	taxId check was not performed due to invalid request
SFV	Facta fraud victim initial alert. Active for 90 days
SFX	Facta Fraud victim extended alert. Active for 7 years
SFQ	Facta Active Duty Alert with Fraud victim - initial alert. Active for 90 days.
SFW	Facta Active Duty Alert with Fraud victim. Active for 1 year
SFN	Facta Active Duty alert. Active for one year

​

CryptoAML Codes

Code	Description
EXC	This address has been tied to an exchange
CUS	This address has been tied to a custodian
CATM	This address has been tied to an atm
MER	This address has been tied to a merchant
PROR	This address has been tied to a processor
MARK	This address has been tied to a market
SER	This address has been tied to a service
WEB	This address has been tied to a website
DON	This address has been tied to a donation
FOR	This address has been tied to a forum
USER	Address associated with Online Username Reselling
PER	This address has been tied to a person
AUC	This address has been tied to a auction
LAW	This address has been tied to law_enforcement
BURN	This address has been tied to burning
ICO	This address has been tied to ico
TOK	This address has been tied to a token
EQY	This address has been tied to a equity
SEC	This address has been tied to security
UTY	This address has been tied to utility
DAPP	This address has been tied to dapp
GAME	This address has been tied to gaming
MINE	Address associated with Mining
POOL	This address has been tied to a pool
FAUT	This address has been tied to a faucet
FIAT	This address has been tied to a fiat
KYC	This address has been tied to kyc
NKYC	This address has been tied to nokyc
GAMB	Address associated with Gambling Service
MIX	Address associated with Mixer
SCAM	Address associated with scam
THEF	This address has been tied to a theft
RSOM	Address associated with Ransomware
MALW	Address associated with Malware
ILGL	Address associated with Illicit Goods and Services
DARK	Address associated with Darknet Market
TERR	This address has been tied to terrorism
WEAP	Address/Wallet related to weapons trafficking
CSAM	Address associated with Child Sexual Abuse Material (CSAM)
OFAC	This address has been tied to the OFAC list
LAUN	This address has been tied to money laundering
EXTN	Address associated with Extortion / Blackmail
TERRFN	Address associated with Terrorist Financing
BAN	Address associated with Banned or Controlled Substances
ADLT	Address associated with Adult Content
VLNT	Address associated with Violent Extremism
HREXC	Address associated with High-Risk Exchange
LEND	Address associated with Lending Service
P2P	Address associated with P2P Crypto Marketplace
SANCT	Address associated with Sanctions
GAMB_CP	Address previously transacted with Gambling Service
MIX_CP	Address previously transacted with Mixer
LEND_CP	Address previously transacted with Lending Service
DARK_CP	Address previously transacted with Darknet Market
SANCT_CP	Address previously transacted with Sanctions
SCAM_CP	Address previously transacted with Scam
EXTN_CP	Address previously transacted with Extortion / Blackmail
HREXC_CP	Address previously transacted with High-Risk Exchange
RSOM_CP	Address previously transacted with Ransomware
HRDAPP_CP	Address previously transacted with High-Risk dApp
HACKED_CP	Address previously transacted with Hacked or Stolen Funds
TF_CP	Address previously transacted with Terrorist Financing
BAN_CP	Address previously transacted with Banned or Controlled Substances
ILGL_CP	Address previously transacted with Illicit Goods and Services
ADLT_CP	Address previously transacted with Adult Content
VLNT_CP	Address previously transacted with Violent Extremism
P2P_CP	Address previously transacted with P2P Crypto Marketplace
FILE_CP	Address previously transacted with Decentralized File Sharing Service
DEEX_CP	Address previously transacted with Decentralized Exchange
CASH_CP	Address previously transacted with Cash-to-Crypto
DEMARK_CP	Address previously transacted with Decentralized Marketplace
NCEX_CP	Address previously transacted with Non-Custodial Exchange
SPTBET_CP	Address previously transacted with Sports Betting
DEGAMB_CP	Address previously transacted with Decentralized Gambling Service
USER_CP	Address previously transacted with Online Username Reselling
HACKER_CP	Address previously transacted with Known Hacker Group
HTR_CP	Address previously transacted with Human Trafficking
SXPN_CP	Address previously transacted with Sexual Exploitation
CSAMVDR_CP	Address previously transacted with Child Sexual Abuse Material (CSAM) Vendor
CSAMCSM_CP	Address previously transacted with Child Sexual Abuse Material (CSAM) Consumer
CSAM_CP	Address previously transacted with Child Sexual Abuse Material (CSAM)
PRST_CP	Address previously transacted with Escort Service / Prostitution
CARDPII_CP	Address previously transacted with Carding / PII Shop
CYCR_CP	Address previously transacted with Cybercrime Services
CTFT_CP	Address previously transacted with Counterfeit Goods
PRCY_CP	Address previously transacted with Piracy
MLMSCH_CP	Address previously transacted with Multi-Level Marketing Scheme
HYISCH_CP	Address previously transacted with High Yield Investment Scheme
PZISCH_CP	Address previously transacted with Ponzi Scheme
INVSTSCH_CP	Address previously transacted with Investment Scheme
DEINVSTSCH_CP	Address previously transacted with Decentralized Investment Scheme
MALW_CP	Address previously transacted with Malware
IMPT_CP	Address previously transacted with Imposter Site or Service
ICOSCAM_CP	Address previously transacted with ICO Scam
PEP_CP	Address previously transacted with Politically Exposed Person
SCAMSCAM_CP	Address previously transacted with Child Sexual Abuse Material (CSAM) Scam
INVSTFRAUD_CP	Address previously transacted with Investment Fraud
DEINVSTFRAUD_CP	Address previously transacted with Decentralized Investment Fraud
HRDAPP	Address associated with High-Risk dApp
HACKED	Address associated with Hacked or Stolen Funds
PEEL_BH	Involved in a Peeling Chain
BNTREE_BH	Part of a Binary Tree transaction
MSSREG_BH	Involved in Mass Registration
CNJN_BH	Involved in a CoinJoin-like transaction
WBFLW_BH	Part of a Web Flow transaction
EXTNCMMDST_BH	Part of a Extortion with Common Destination transaction
PEELCMMDST_BH	Part of a Peeling Chain with Common Destination transaction
UNQTRTXN_BH	Part of a unique trail of transactions
FILE	Address associated with Decentralized File Sharing Service
DEEX	Address associated with Decentralized Exchange
CASH	Address associated with Cash-to-Crypto
DEMARK	Address associated with Decentralized Marketplace
NCEX	Address associated with Non-Custodial Exchange
SPTBET	Address associated with Sports Betting
DEGAMB	Address associated with Decentralized Gambling Service
HACKER	Address associated with Known Hacker Group
HTR	Address associated with Human Trafficking
SXPN	Address associated with Sexual Exploitation
CSAMVDR	Address associated with Child Sexual Abuse Material (CSAM) Vendor
CSAMCSM	Address associated with Child Sexual Abuse Material (CSAM) Consumer
PRST	Address associated with Escort Service / Prostitution
CARDPII	Address associated with Carding / PII Shop
CYCR	Address associated with Cybercrime Services
CTFT	Address associated with Counterfeit Goods
PRCY	Address associated with Piracy
MLMSCH	Address associated with Multi-Level Marketing Scheme
HYISCH	Address associated with High Yield Investment Scheme
PZISCH	Address associated with Ponzi Scheme
INVSTSCH	Address associated with Investment Scheme
DEINVSTSCH	Address associated with Decentralized Investment Scheme
IMPT	Address associated with Imposter Site or Service
ICOSCAM	Address associated with ICO Scam
PEP	Address associated with Politically Exposed Person
MINE_CP	Address previously transacted with Mining
SCAMSCAM	Address associated with Child Sexual Abuse Material (CSAM) Scam
INVSTFRAUD	Address associated with Investment Fraud
DEINVSTFRAUD	Address associated with Decentralized Investment Fraud
ADLT_IN	Address has indirect exposure to Adult Content
FILE_IN	Address has indirect exposure to Decentralized File Sharing Service
HRDAPP_IN	Address has indirect exposure to High-Risk dApp
DEEX_IN	Address has indirect exposure to Decentralized Exchange
P2P_IN	Address has indirect exposure to P2P Crypto Marketplace
CASH_IN	Address has indirect exposure to Cash-to-Crypto
HREXC_IN	Address has indirect exposure to High-Risk Exchange
DEMARK_IN	Address has indirect exposure to Decentralized Marketplace
NCEX_IN	Address has indirect exposure to Non-Custodial Exchange
LEND_IN	Address has indirect exposure to Lending Service
GAMB_IN	Address has indirect exposure to Gambling Service
SPTBET_IN	Address has indirect exposure to Sports Betting
DEGAMB_IN	Address has indirect exposure to Decentralized Gambling
USER_IN	Address has indirect exposure to Online Username Reselling
HACKED_IN	Address has indirect exposure to Hacked or Stolen Funds
HACKER_IN	Address has indirect exposure to Known Hacker Group
HTR_IN	Address has indirect exposure to Human Trafficking
SXPN_IN	Address has indirect exposure to Sexual Exploitation
CSAMVDR_IN	Address has indirect exposure to Child Sexual Abuse Material (CSAM) Vendor
CSAMCSM_IN	Address has indirect exposure to Child Sexual Abuse Material (CSAM) Consumer
CSAM_IN	Address has indirect exposure to Child Sexual Abuse Material (CSAM)
TERRFN_IN	Address has indirect exposure to Terrorist Financing
VLNT_IN	Address has indirect exposure to Violent Extremism
PRST_IN	Address has indirect exposure to Escort Service / Prostitution
CARDPII_IN	Address has indirect exposure to Carding / PII Shop
CYCR_IN	Address has indirect exposure to Cybercrime Services
DARK_IN	Address has indirect exposure to Darknet Market
BAN_IN	Address has indirect exposure to Banned or Controlled Substances
CTFT_IN	Address has indirect exposure to Counterfeit Goods
PRCY_IN	Address has indirect exposure to Piracy
ILGL_IN	Address has indirect exposure to Illicit Goods and Services
MLMSCH_IN	Address has indirect exposure to Multi-Level Marketing Scheme
HYISCH_IN	Address has indirect exposure to High Yield Investment Scheme
PZISCH_IN	Address has indirect exposure to Ponzi Scheme
INVSTSCH_IN	Address has indirect exposure to Investment Scheme
DEINVSTSCH_IN	Address has indirect exposure to Decentralized Investment Scheme
MALW_IN	Address has indirect exposure to Malware
RSOM_IN	Address has indirect exposure to Ransomware
IMPT_IN	Address has indirect exposure to Imposter Site or Service
SCAM_IN	Address has indirect exposure to Scam
EXTN_IN	Address has indirect exposure to Extortion / Blackmail
ICOSCAM_IN	Address has indirect exposure to ICO Scam
MINE_IN	Address has indirect exposure to Mining
MIX_IN	Address has indirect exposure to Mixer
PEP_IN	Address has indirect exposure to Politically Exposed Person
SANCT_IN	Address has indirect exposure to Sanctions
SCAMSCAM_IN	Address has indirect exposure to Child Sexual Abuse Material (CSAM) Scam
INVSTFRAUD_IN	Address has indirect exposure to Investment Fraud
DEINVSTFRAUD_IN	Address has indirect exposure to Decentralized Investment Fraud
SPMS	Address associated with Special Measures
SPMS_CP	Address associated with Special Measures
SPMS_IN	Address has indirect exposure to Special Measures
BLOCK	Address associated with Blocklisted
BLOCK_CP	Address previously transacted with Blocklisted
BLOCK_IN	Address has indirect exposure to Blocklisted
COMCPLT	Address associated with Community Complaint
COMCPLT_CP	Address associated with Community Complaint
COMCPLT_IN	Address has indirect exposure to Community Complaint

​

Blocklist & Allowlist Codes

Code	Description
AEA	Email is in allowlist
ADE	Device is in allowlist
AUS	User is in allowlist
APH	Phone is in allowlist
ARC	Referral code is in allowlist
AMI	Merchant ID is in allowlist
ARO	Low risk because of rule override
ALW	Session is given low risk because of allowlist
ALWR	Rule is in allowlist
BLST	Session is Blocklisted and give very_high risk
BNSF	Session is Blocklisted due to a NSF
BFFB	Session is Blocklisted due to fraud feedback
BLUS	User is in the blocklist
BLDE	Device is in the blocklist
BLEA	Email Address is in the blocklist
BLED	Email domain is in the blocklist
BLPH	Phone is in the blocklist
BLTA	Tax ID is in the blocklist
BLDAN	DAN is in the blocklist
BLDBIN	DAN BIN is in the blocklist
BLCA	Card hash is in the blocklist
BLCID	Card ID is in the blocklist
BLBA	Bank account is in the blocklist
BLDIP	Device IP is in the blocklist
BLDID	Document ID is in the blocklist
BLCR	Crypto address is in the blocklist
BLRCR	Recipient crypto address is in the blocklist
BLPID	Partner ID is in the blocklist
BLIBAN	IBAN is in the blocklist
BLSO	Sort code is in the blocklist

​

AML Category Codes

Code	Description
SABU	Abuse (Domestic, Elder, Child)
SARS	Arson
SAST	Assault, Battery
SBLK	Firm Specific Block List
SBRB	Bribery, Graft, Kickbacks, Political Corruption
SBUR	Burglary
SBUS	Business Crimes (Antitrust, Bankruptcy, Price Fixing)
SCFT	Counterfeiting, Forgery
SCON	Conspiracy (No specific crime named)
SCPR	Copyright Infringement (Intellectual Property, Electronic Piracy)
SCYB	Computer Related, Cyber Crime
SDEN	Denied Entity
SDPS	Possession of Drugs or Drug Paraphernalia
SDTF	Trafficking or Distribution of Drugs
SENV	Environmental Crimes (Poaching, Illegal Logging, Animal Cruelty
SFAR	Foreign Agent Registration Act
SFOF	Former OFAC
SFOR	Forfeiture
SFOS	Former Sanctions List
SFRD	Fraud, Scams, Swindles
SFUG	Escape, Fugitive
SGAM	Illegal Gambling
SHCD	Health Care Disciplines
SHUM	Human rights, Genocide, War crimes
SIGN	Possession or Sale of Guns, Weapons and Explosives
SIMP	Identity Theft, Impersonation
SIPR	Illegal Prostitution, Promoting Illegal Prostitution
SIRC	Iran Connect
SKID	Kidnapping, Abduction, Held Against Will
SLMD	Legal Marijuana Dispensary
SLNS	Loan Sharking, Usury, Predatory Lending
SMIS	Misconduct
SMLA	Money Laundering
SMOR	Mortgage Related
SMSB	Money Services Business
SMUR	Murder, Manslaughter (Committed, Planned or Attempted)
SNSC	Non Specific Crime
SOBS	Obscenity Related, Child Pornography
SORG	Organized Crime, Criminal Association, Racketeering
SPEP	Person Political
SPRJ	False Filings, False Statements, Perjury, Obstruction of Justice
SPSP	Possession of Stolen Property
SREG	Regulatory Action
SRES	Real Estate Actions
SROB	Robbery (Stealing by Threat, Use of Force)
SSEC	SEC Violations (Insider Trading, Securities Fraud)
SSEX	Sex Offenses (Rape, Sodomy, Sexual Abuse, Pedophilia)
SSMG	Smuggling (Does not include Drugs, Money, People or Guns)
SSNX	Sanctions Connect
SSPY	Espionage, Spying, Treason
STAX	Tax Related Offenses
STER	Terrorist Related
STFT	Theft (Larceny, Misappropriation, Embezzlement, Extortion)
STRF	People Trafficking, Organ Trafficking
SWLT	Watch List

​

AML Subcategory Codes

Code	Description
SACC	Accuse
SACQ	Acquit, Not Guilty
SACT	Disciplinary, Regulatory Action
SADT	Audit
SALL	Allege
SAPL	Appeal
SARB	Arbitration
SARN	Arraign
SART	Arrest
SASC	Associated with, Seen with
SCEN	Censure
SCHG	Charged
SCMP	Complaint Filed
SCNF	Confession
SCSP	Conspire
SCVT	Convict, Conviction
SDEP	Deported
SDMS	Dismissed
SEXP	Expelled
SFIL	Fine - Less than $10,000
SFIM	Fine - More than $10,000
SGOV	Government Official
SIND	Indict, Indictment
SLIC	Licensing Action
SLIN	Lien
SPLE	Plea
SPRB	Probe
SRVK	Revoked Registration
SSAN	Sanction
SSET	Settlement or Suit
SSEZ	Seizure
SSJT	Served Jail Time
SSPD	Suspended
SSPT	Suspected
STRL	Trial
SWTD	Wanted

​

Other Codes

Code	Description
ONM	No match
OMFNO	Full name match only
OMSSNO	Match to SSN only
OMNSSN	Match to name and SSN
OMNDOB	Match to name and DOB
OMNYOB	Match to name and YOB
OMSSNDOB	Match to SSN and DOB
OMSSNYOB	Match to SSN and YOB
OMNSSNDOB	Match to Name SSN and DOB
OMNSSNYOB	Match to Name SSN and YOB
OMCN	Match on company name
OMCA	Match on company Address
OMCNA	Match on company name and address
OMSFN	match to Surname and First name
STO	Sardine internal timeout. Risk assessment defaulted to medium risk level.
SITO	Sardine partial internal timeout. Some risk assessment features might be limited due to timeout.
SVTO	Sardine data provider timed out. Some risk assessment features might be limited due to timeout.
SVER	Error from data provider. Some risk assessment features might be limited due to error.
SSFD	Sanction Screening Failed to complete. Recommend Retrying again.
SDR	Risky device or behaviour signals detected

​

Address Codes

Code	Description
AE1	Both parsed and postal address parameters provided, postal address parameters ignored
AE2	Historical resident matched
AE3	Invalid Input
AE4	Input postal code was corrected. Potential impact to AVS code.
AE5	Input postal code was corrected
AE6	State, Country Validated
AE7	Country Validated
AE8	Street, Postcode, City, Country Validated. Premise not validated
AE9	Resident not found at address
AE10	Missing country_code
AE11	Partial Address
AE12	Invalid house/building number
AE13	Missing Input
AE14	Input state corrected
AE15	Not Found
AL1	The address is deliverable, but the secondary unit information is unnecessary.
AL2	The address is deliverable to the building’s default address but the secondary unit provided may not exist. There is a chance the mail will not reach the intended recipient.
AL3	The address is deliverable to the building’s default address but is missing secondary unit information. There is a chance the mail will not reach the intended recipient.
AL4	The address is not deliverable according to the USPS.
AL5	Invalid address
AL6	Tracking data indicates that over 70% of mailpieces sent to this address were delivered successfully and recent mailings were also successful.
AL7	Tracking data indicates that over between 40% and 70% of mailpieces sent to this address were delivered successfully.
AL8	Tracking data indicates that over less than 40% of mailpieces sent to this address were delivered successfully and recent mailings weren’t successful.
AL9	No tracking data exists for this address or lob deliverability was unable to find a corresponding level of mail success.
LV4	Verified. The input data is correct.
LV3	Verified. The input data is correct. All input data was able to match in databases after some or all elements were standardized.
LV2	Verified. The input data is correct although some input data is unverifiable due to incomplete data
LV1	Verified. The input data is acceptable but in an attempt to standardize user input errors were introduced.
LF4	Fixed. The input data is matched and fixed. (Example: Brighon - UK -> Brighton - UK)
LF3	Fixed. The input data is matched and fixed but some elements such as Sub-building number and house number cannot be checked
LF2	Fixed. The input data is matched but some elements such as Street cannot be checked.
LF1	Fixed. The input data is acceptable but errors were introduced in an attempt to standardize user input.
LM4	Missing Info. The input data cannot be corrected completely.
LM3	Missing Info. The input data cannot be corrected completely and there were multiple matches found in databases.
LM2	Missing Info. The input data cannot be corrected completely and only some elements were found.
LU1	Unverified. The input data cannot be corrected or matched.