The proliferation and evolution of AI-powered hacking tools – how generative AI has changed the cyber attack ecosystem and response strategies

The proliferation and evolution of AI-powered hacking tools – how generative AI has changed the cyber attack ecosystem and response strategies
WormGPT’s emergence in June 2023 marked a turning point as AI-powered hacking tools rapidly spread across paid SaaS, open-source releases, and locally run models, lowering the barrier to cybercrime and enabling new forms of attack automation. The article also shows AI moving beyond support roles into orchestration, credential theft, and self-modifying malware, with examples including Bissa Scanner, Promptflux, Promptspy, and APT activity involving APT45 and APT27. #WormGPT #BissaScanner #Promptflux #Promptspy #APT45 #APT27

Keypoints

  • AI-powered hacking tools emerged as a major cybercrime infrastructure after WormGPT appeared in June 2023.
  • These tools are distributed through both paid SaaS services and free open-source ecosystems, making them harder to contain.
  • The ecosystem now includes tools for phishing, malware development, reconnaissance, spam automation, and vulnerability exploitation.
  • AI is increasingly used in real attack operations, including orchestration, exploit validation, credential theft, and real-time triage of stolen data.
  • New malware families such as Promptflux, Honestcue, and Promptspy use AI to self-modify, evade detection, or autonomously manipulate devices.
  • State-linked actors, including China-linked groups and North Korea-linked APT45, are using AI to accelerate exploit analysis and infrastructure development.
  • The article argues that defenders need AI-driven active defense, stronger MFA, AI governance, and supply chain security rather than only blocking individual tools.

MITRE Techniques

  • [T1059.006 ] Command and Scripting Interpreter: Python – Used for an AI-assisted zero-day exploit and automation scripts; the article describes a “Python-based script” that bypassed 2FA and Bissa Scanner’s large-scale scanning workflow (‘the exploit was a Python-based script that bypassed the two-factor authentication (2FA)…’ ; ‘used a combination of Claude Code and OpenClaw as an attack orchestration tool’).
  • [T1059.005 ] Command and Scripting Interpreter: Visual Basic – Honestcue requested VBScript obfuscation in real time to alter its behavior and evade detection (‘requesting VBScript obfuscation techniques in real-time through the Gemini API’).
  • [T1027 ] Obfuscated Files or Information – Promptflux rewrites its source code, Canfail – Longstream uses decoy code, and Honestcue requests obfuscation to hide malicious behavior (‘periodically rewrite its own source code’; ‘tens of thousands of lines of decoy code’; ‘requesting VBScript obfuscation techniques’).
  • [T1027.016 ] Junk Code Insertion – Canfail – Longstream used massive decoy code to mask malicious logic (‘tens of thousands of lines of decoy code generated by LLM to mask its malicious behavior’).
  • [T1027.001 ] Binary Padding – Promptflux and other self-morphing malware altered code content to defeat static signatures (‘rewrite its own source code, bypassing static signature-based detection’).
  • [T1055 ] Process Injection – Promptspy used a transparent overlay and UI manipulation to interfere with user actions during app removal (‘placing a transparent overlay over the “delete” button to intercept touch events’).
  • [T1113 ] Screen Capture – Promptspy analyzed the device UI structure to drive autonomous interaction (‘automatically analyzes the device’s UI structure through the Gemini API’).
  • [T1204 ] User Execution – Phishing automation and social-engineering support were a major use case for these tools, lowering the skill required to craft lures (‘phishing phrases’ ; ‘automating advertising, phishing, and fraud documents’).
  • [T1588.002 ] Obtain Capabilities: Tool – Threat actors acquired AI hacking tools through SaaS, Telegram, GitHub, and forums (‘sold as monthly, annual, and lifetime subscriptions’; ‘Released on GitHub for free’).
  • [T1105 ] Ingress Tool Transfer – Open-source distribution and local execution enabled deployment of AI tools and models on attacker systems (‘Released for free on GitHub’; ‘can be run locally’).
  • [T1595 ] Active Scanning – Bissa Scanner automated large-scale scanning and exploit validation (‘automate large-scale scanning that exploited a vulnerability in the Next.js framework’).
  • [T1590 ] Gather Victim Network Information – AI-assisted reconnaissance and vulnerability analysis were used repeatedly across the ecosystem (‘reconnaissance automation’; ‘AI was involved in the entire attack flow, from reconnaissance, vulnerability exploitation’).
  • [T1082 ] System Information Discovery – Promptspy and other tools queried device or system state to guide malicious actions (‘automatically analyzes the device’s UI structure’; ‘query the system’s daylight saving time (DST) status 32 times’).
  • [T1518.001 ] Software Discovery: Security Software Discovery – The malware and scanning workflows aimed to evade or understand defenses through analysis and mutation (‘bypass static signature-based detection’; ‘evades detection’).
  • [T1203 ] Exploitation for Client Execution – The article describes exploit use against a vulnerable Next.js framework and 2FA bypass in a web-based administration tool (‘exploited a vulnerability in the Next.js framework’; ‘bypassed the two-factor authentication (2FA)’).
  • [T1040 ] Network Sniffing – The report’s emphasis on credential screening and infrastructure operations indicates credential-focused collection and processing (‘credential screening’; ‘real-time breach results through a Telegram bot’).

Indicators of Compromise

  • [Malware / Tool Names ] AI hacking tools and malware families discussed in the article – WormGPT, FraudGPT, Promptflux, Promptspy, Honestcue, Evil-GPT
  • [Framework / Product Names ] AI services and models leveraged or targeted – Claude Code, Gemini API, OpenClaw, OpenAI, Anthropic, Google, AWS, Stripe, PayPal
  • [Vulnerability IDs ] Exploited or referenced vulnerabilities – CVE-2025-55182, 2FA bypass in a web-based system administration tool
  • [File / Artifact Names ] Named malware or ecosystem projects – canfail – Longstream, wooyun-legacy, Bissa Scanner, KawaiiGPT
  • [Account / Data Artifacts ] Stolen or leaked user and credential data – email and payment data for over 19,000 WormGPT users, credentials from AI platforms and cloud/payment/database files
  • [Numeric Scale / Context ] Large-scale attack and theft context – 65,000 credential thefts, 85,000 real-world vulnerability cases, and 19,000 leaked users


Read more: https://asec.ahnlab.com/en/93875/