GTIG Details Adversaries’ Expanding Use of AI Across Cyber Operations

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Summary

Google's GTIG report documents adversaries using generative AI for vulnerability research, malware development, reconnaissance and influence operations, while detailing attacks on AI software supply chains and defensive actions.

Key points

  • GTIG assesses that adversaries are moving from AI experimentation to scaled use across vulnerability research, malware development, reconnaissance, and other operational tasks.
  • GTIG found a zero-day 2FA-bypass exploit for an open-source administration tool and assesses with high confidence that an actor likely used AI to help develop it. The exploit required valid credentials; GTIG worked with the vendor, and its intervention may have prevented planned mass exploitation.
  • PROMPTSPY, an Android backdoor, uses Gemini to interpret device interfaces and generate actions; it can also capture authentication gestures and obstruct uninstallation. Google says it disabled associated assets and that Play Protect protects against known versions.
  • GTIG found AI-generated decoy code in CANFAIL and LONGSTREAM, and describes AI-assisted malware obfuscation and operational tooling.
  • TeamPCP (UNC6780) claimed multiple software supply-chain compromises. Mandiant responded to related incidents; GTIG says stolen credentials included cloud keys and GitHub tokens.
  • Malicious OpenClaw skill packages could execute commands or expose local data. OpenClaw partnered with VirusTotal to scan skills published to its marketplace.
  • GTIG describes suspected AI voice cloning in the pro-Russia Operation Overload campaign, while noting it has not identified AI-generated content from some other observed information-operation attempts in the wild.

Article Details

Publisher
Google Threat Intelligence Group (GTIG)
Report Period
Since February 2026; examples span early February through late March 2026.
Scope
GTIG observations of generative AI use in cyber operations, information operations, and attacks on AI software supply chains.
Key Statistics
  • The wooyun-legacy repository contains more than 85,000 vulnerability cases collected by WooYun between 2010 and 2016.
  • APT45 sent thousands of repetitive prompts to analyze CVEs and validate proof-of-concept exploits; the article gives no exact count.
  • LONGSTREAM queried the system's daylight-saving status 32 times, which GTIG describes as repetitive decoy logic.
Recommendations
  • LLM providers can analyze network-infrastructure data associated with AI-related API aggregators to support disruption efforts.
  • Use automated security scanning for AI-agent skills to identify unauthorized network operations, malicious payloads, and unsafe embedded instructions, and warn users or block risky packages.
  • Continuously test AI models and red-team them for vulnerabilities, including indirect prompt injection.

MITRE ATT&CK

T1027.014 · Polymorphic CodePROMPTFLUX used automated code modification to vary file signatures and evade legacy security controls.T1027.016 · Junk Code InsertionCANFAIL and LONGSTREAM used decoy code to disguise malicious functionality.T1090.003 · Multi-hop ProxyAPT27 used AI to support development of fleet-management software for an operational relay box network with multi-hop configurations.T1566 · PhishingThreat actors used LLMs to research targets and craft higher-fidelity phishing lures.T1587.001 · MalwareGTIG reports AI-augmented research and development of malware such as CANFAIL and LONGSTREAM.T1587.004 · ExploitsGTIG assesses that AI-assisted research was used to develop an exploit for a two-factor-authentication bypass zero-day.T1588.002 · ToolThreat actors downloaded community-developed tools to support their operations.T1588.005 · ExploitsThreat actors used AI to obtain known exploits for vulnerabilities affecting targeted systems.T1588.006 · VulnerabilitiesThreat actors used AI to research vulnerabilities in targeted systems.T1588.007 · Artificial IntelligenceThreat actors used automated pipelines to exploit provider registration flows and create LLM accounts.T1591.002 · Business RelationshipsThreat actors prompted AI models to generate third-party business relationships for large enterprises.T1591.004 · Identify RolesThreat actors used LLMs to generate organizational hierarchies, including roles in finance, internal security, and human resources.T1592.001 · HardwareA threat actor used an LLM to identify a high-value target's computer make and model and seek photos showing the target using it.

Threat Actors

Malware

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Tools

Big SleepFurthermore, we leverage AI agents like Big Sleep to identify software vulnerabilities and use Gemini’s reasoning capabilities via the likes of CodeMender to automatically fix them, proving that AI can also be aClaude-Relay-ServiceFor example, they employ “Claude-Relay-Service” to aggregate multiple Gemini, Claude, and OpenAI accounts, enabling account pooling and cost-sharing.CLIProxyAPI[T1588.002 ] Obtain Capabilities: Tools – Actors downloaded community tools like CLIProxyAPI for API key aggregation and proxying (‘downloaded specialized, community-developed middleware projects’).CodeMenderBig Sleep to identify software vulnerabilities and use Gemini’s reasoning capabilities via the likes of CodeMender to automatically fix them, proving that AI can also be a powerful tool for defenders.GraphitiHexstrike was utilized alongside the Graphiti memory system, a temporal knowledge graph, to maintain a persistent state of the attack surface, allowing the agent to autonomously pivot between tools like subfinder andHexstrike[Malware / tool names ] AI-enabled malware and tooling discussed in the report – PROMPTSPY, CANFAIL, LONGSTREAM, HONESTCUE, PROMPTFLUX, OpenClaw, OneClaw, Hexstrike, Strixhttpxstate of the attack surface, allowing the agent to autonomously pivot between tools like subfinder and httpx based on its internal reasoning.OneClaw[Malware / tool names ] AI-enabled malware and tooling discussed in the report – PROMPTSPY, CANFAIL, LONGSTREAM, HONESTCUE, PROMPTFLUX, OpenClaw, OneClaw, Hexstrike, StrixStrix[Malware / tool names ] AI-enabled malware and tooling discussed in the report – PROMPTSPY, CANFAIL, LONGSTREAM, HONESTCUE, PROMPTFLUX, OpenClaw, OneClaw, Hexstrike, Strixsubfindera persistent state of the attack surface, allowing the agent to autonomously pivot between tools like subfinder and httpx based on its internal reasoning.

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