Based on recent analysis of the broader threat landscape, Google Threat Intelligence Group (GTIG) has identified a shift that occurred within the last year: adversaries are no longer leveraging artificial intelligence (AI) just for productivity gains, they are deploying novel AI-enabled malware in active operations. This marks a new operational phase of AI abuse, involving tools that dynamically alter behavior mid-execution.
This report serves as an update to our January 2025 analysis, "Adversarial Misuse of Generative AI," and details how government-backed threat actors and cyber criminals are integrating and experimenting with AI across the industry throughout the entire attack lifecycle. Our findings are based on the broader threat landscape.
Key Findings:
- First Use of "Just-in-Time" AI in Malware: For the first time, GTIG has identified malware families, such as PROMPTFLUX and PROMPTSTEAL, that use Large Language Models (LLMs) during execution. These tools dynamically generate malicious scripts, obfuscate their own code to evade detection, and leverage AI models to create malicious functions on demand, rather than hard-coding them into the malware. While still nascent, this represents a significant step toward more autonomous and adaptive malware.
- "Social Engineering" to Bypass Safeguards: Threat actors are adopting social engineering-like pretexts in their prompts to bypass AI safety guardrails. We observed actors posing as students in a "capture-the-flag" competition or as cybersecurity researchers to persuade Gemini to provide information that would otherwise be blocked, enabling tool development.
- Maturing Cyber Crime Marketplace for AI Tooling: The underground marketplace for illicit AI tools has matured in 2025. We have identified multiple offerings of multifunctional tools designed to support phishing, malware development, and vulnerability research, lowering the barrier to entry for less sophisticated actors.
- Continued Augmentation of the Full Attack Lifecycle: State-sponsored actors including from North Korea, Iran, and the People's Republic of China (PRC) continue to misuse Gemini to enhance all stages of their operations, from reconnaissance and phishing lure creation to command and control (C2) development and data exfiltration.
andrescordova•3mo ago
This report serves as an update to our January 2025 analysis, "Adversarial Misuse of Generative AI," and details how government-backed threat actors and cyber criminals are integrating and experimenting with AI across the industry throughout the entire attack lifecycle. Our findings are based on the broader threat landscape.
Key Findings: - First Use of "Just-in-Time" AI in Malware: For the first time, GTIG has identified malware families, such as PROMPTFLUX and PROMPTSTEAL, that use Large Language Models (LLMs) during execution. These tools dynamically generate malicious scripts, obfuscate their own code to evade detection, and leverage AI models to create malicious functions on demand, rather than hard-coding them into the malware. While still nascent, this represents a significant step toward more autonomous and adaptive malware. - "Social Engineering" to Bypass Safeguards: Threat actors are adopting social engineering-like pretexts in their prompts to bypass AI safety guardrails. We observed actors posing as students in a "capture-the-flag" competition or as cybersecurity researchers to persuade Gemini to provide information that would otherwise be blocked, enabling tool development. - Maturing Cyber Crime Marketplace for AI Tooling: The underground marketplace for illicit AI tools has matured in 2025. We have identified multiple offerings of multifunctional tools designed to support phishing, malware development, and vulnerability research, lowering the barrier to entry for less sophisticated actors. - Continued Augmentation of the Full Attack Lifecycle: State-sponsored actors including from North Korea, Iran, and the People's Republic of China (PRC) continue to misuse Gemini to enhance all stages of their operations, from reconnaissance and phishing lure creation to command and control (C2) development and data exfiltration.