- 0-Click RCE in OpenClaw via Gmail Hook
Zero-click RCE on an AI agent through a single email. No link, no attachment. Just a prompt injection payload with a one-character typo that bypasses the regex sanitizer but still triggers the LLM. Agent clones a malicious repo, restarts the gateway, reverse shell.
- Opus 4.6 found 500+ vulnerabilities in heavily-fuzzed open source projects
No custom harness, no specialized prompting. Claude read git history, identified missing patches, and exploited subtle algorithmic assumptions that traditional fuzzers couldn't reach.
- Google DeepMind: activation probes detect cyber misuse 10,000x cheaper than LLM classifiers
Tiny classifiers reading model internals during inference. A cascade pattern: cheap probe on all traffic, LLM classifier only for uncertain cases. Critical as frontier model cyber capabilities accelerate.
- 37.8% of AI agent interactions contained adversarial content
RAXE analyzed 74,636 production interactions across 38 deployments. Inter-agent attacks emerged as a new category — agents sending poisoned messages to other agents and exploiting trust relationships.
- AWS admin privileges in 8 minutes with LLM assistance
LLMs collapsed the attacker timeline. Recon, privilege escalation through Lambda, and admin access — all in minutes. Objective: LLMjacking and GPUjacking. Token mining is the new cryptomining.
And just in case you missed the OpenClaw horror stories of the week: installing OpenClaw on your local machine to work under your credentials is risky.
0-Click RCE in OpenClaw via Gmail Hook
Opus 4.6 found 500+ vulnerabilities in heavily-fuzzed open source projects
Google DeepMind: activation probes detect cyber misuse 10,000x cheaper than LLM classifiers
37.8% of AI agent interactions contained adversarial content
AWS admin privileges in 8 minutes with LLM assistance
