OWASP finds AI agents lower the skill bar for parts of hacking
Original title: OWASP Warns AI Agents Are Making Cyberattacks Easier for Less-Skilled Hackers
Guide 2.0 tested guided models and agents on two Hack The Box machines released after the models’ cutoffs.
OWASP’s LLM Exploit Generation Guide 2.0, published October 27, compares human-guided language models with autonomous agents on the training machines Silentium and MonitorsFour. A non-expert operator following model instructions reached a staging site, valid accounts, and an administrator takeover, mostly by copying commands. Stronger agents reached the account-takeover stage on Silentium, but provider guardrails blocked the final step, and fully autonomous compromise was not reliable.
- Tests used CAI, HexStrike AI, Claude Code, and OpenAI Codex in nine configurations.
- Agents found staging sites, software versions, and matching known vulnerabilities.
- Repeated tool use against one target without progress is a possible, not conclusive, detection signal.
- The cheat sheet urges limited permissions, untrusted external content, and approval for sensitive actions.
- 1.Limit AI agent tool permissions
- 2.Treat external content as untrusted
- 3.Require approval before sensitive agent actions
- Products
- CAIHexStrike AI
- Organizations
- OWASP
- AI models
- Claude CodeOpenAI Codex
From the original article
2 min read at gbhackers.com
OWASP has issued a warning that AI agents and chatbots are reducing the skills required for certain aspects of cyberattacks, particularly in areas like target discovery and vulnerability research. Their latest research indicates that beginners can advance by utilizing AI guidance; however, human expertise remains essential when tools fail or when dealing with complex attacks. […]
By Divya · gbhackers.com
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