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FraudGPT

FraudGPT is a malicious or purportedly malicious GPT-branded large language model service marketed on dark web sites, underground forums, and Telegram as an AI assistant for cybercrime. Across the provided reporting, it is consistently described as one of the first widely publicized “dark LLMs” alongside WormGPT and as a tool advertised for phishing, fraud, malware development, and other offensive tasks.

Advertised capabilities directly mentioned in the content include writing malicious code, creating undetectable malware, generating phishing pages, scam pages, SMS, emails, and phishing panels, creating hacking tools, scanning websites for vulnerabilities across a CVE database, code obfuscation, bot creation, automatic scripts for replicating logs/cookies, page hosting, sending mail from webshells, and support for card-fraud workflows such as non-VBV BIN discovery, CVV checking, GoldCheck API integration, OTP bot functionality, and creation of username:password website configs and remote OpenBullet configs. The content also notes claims of millions of phishing email samples and thousands of malware source-code references.

FraudGPT is associated in the content with the actor name CanadianKingpin12, who advertised it on the dark web and via Telegram. Cisco Talos reported that when attempting to obtain access, the supplied credentials did not work and the seller requested cryptocurrency for a crack to the login page; Talos concluded the operator did not have a working product and was scamming prospective buyers, with other victims reportedly confirming they were also scammed. Sophos X-Ops likewise found forum skepticism around FraudGPT and noted that some users accused it of being a scam and questioned its malware-generation claims. Multiple sources in the content therefore characterize FraudGPT as promising phishing and malware capabilities but being largely fraudulent.

The content places FraudGPT in the broader ecosystem of criminal LLM abuse rather than tying it to a specific intrusion set. It is discussed as being available through dark web markets, Tor, Telegram channels, and cybercrime forums, and as lowering the barrier for fraud automation and social-engineering content generation. Reported use cases include phishing, scam-document generation, malware-related coding assistance, vulnerability research, and payment-card fraud support. Several articles also note that threat actors increasingly prefer jailbroken mainstream models or uncensored open-source models because dedicated criminal LLM offerings such as FraudGPT are often unreliable or fraudulent.

High-confidence contextual associations in the content include repeated pairing with WormGPT, GhostGPT, DarkGPT, DarkestGPT, BlackHatGPT, and similar GPT-branded underground tools. No specific malware-family IOCs, hashes, domains, or technical artifacts attributable to a functioning FraudGPT backend are provided in the content beyond the actor alias CanadianKingpin12 and the fact that the service was marketed on dark web pages and Telegram.

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MITRE ATT&CK

Techniques & procedures

13 distinct techniques documented for this family, organized by ATT&CK tactic.

Reconnaissance

4 techniques
T1589Gather Victim Identity InformationEvidence1

Drafting phishing lures, profiling targets... Threat actors use it to systematically design lookalike phishing pages, scrape target data...

T1590Gather Victim Network InformationEvidence1

key capabilities have been segmented into phishing automation, malware development, reconnaissance, brute force, vulnerability exploitation, and social engineering.

T1595Active ScanningEvidence1

Advertised features of malicious LLMs indicate that cybercriminals are connecting these systems to various external tools for... scanning sites for vulnerabilities... Scan websites for vulnerabilities across a massive CVE database... users were discussing connecting LLMs to external tools like Nmap, and using the LLM to summarize the Nmap output.

T1598Phishing for InformationEvidence1

The demo shows FraudGPT’s ability to create phishing pages and phishing SMSs. Figure 9. FraudGPT generates a working code for the Bank of America scam webpage. Figure 10. FraudGPT generates malicious SMS to convince victims to follow the link.

Resource Development

3 techniques
T1585Establish AccountsEvidence1

Deepfake voice and video tools have advanced to the point where live video verification, once the victim’s last defense, no longer disqualifies the scammer. The Arup engineering firm deepfake in early 2024, in which a finance employee was tricked into wiring $25 million by AI-rendered “executives” on a Zoom call, is no longer an outlier.

T1587Develop CapabilitiesEvidence2

The chatbot was trained in materials related to malware development, which is how WormGPT was born.

T1587.001MalwareEvidence2

The dark web site for FraudGPT advertises some interesting features: Write malicious code Create undetectable malware... Programming features of many criminal LLMs include the ability to assist cybercriminals in writing ransomware, remote access trojans, wipers...

Initial Access

3 techniques
T1190Exploit Public-Facing ApplicationEvidence1

FraudGPT is described as a great tool for creating undetectable malware, writing malicious code, finding leaks and vulnerabilities, creating phishing pages, and for learning hacking.

T1566PhishingEvidence9

For example, asking ChatGPT to produce a phishing email will result in a denial... Another uncensored LLM popular among cybercriminals is a tool called WhiteRabbitNeo... This LLM will happily write offensive security tools, phishing emails and more.

T1566.001Spearphishing AttachmentEvidence3

Threat actors use it to systematically design lookalike phishing pages, scrape target data, draft convincing spear-phishing lures, and generate scam scripts.

Execution

1 technique
T1059Command and Scripting InterpreterEvidence1

Programming features of many criminal LLMs include the ability to assist cybercriminals in writing ransomware, remote access trojans, wipers, code obfuscation, shellcode generation and script/tool creation.

Stealth

1 technique
T1027Obfuscated Files or InformationEvidence1

Programming features of many criminal LLMs include the ability to assist cybercriminals in writing ransomware, remote access trojans, wipers, code obfuscation, shellcode generation and script/tool creation.

Other

1 technique
T1656ImpersonationEvidence2

key capabilities have been segmented into phishing automation, malware development, reconnaissance, brute force, vulnerability exploitation, and social engineering.

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Exploited vulnerabilities

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MITRE ATT&CK mapping13

Every documented technique, ranked by evidence weight.

Researcher chatter

Reddit, Mastodon, and CTI community discussion around this family.