Security experiment shows malicious AI skill compromised 26,000+ agents by bypassing scanners
By
Abinaya
Summary
A controlled security experiment by researcher Niv Hoffman demonstrated a critical vulnerability in AI agent ecosystems. A malicious AI skill named "brand-landingpage" — disguised as a legitimate no-code landing page builder — bypassed security scanners and compromised over 26,000 AI agents across individual and enterprise environments. The skill delivered real functionality to build trust before executing its malicious payload, exposing fundamental weaknesses in how AI agent marketplaces and ecosystems handle security vetting.
Source
bskySecurity experiment shows malicious AI skill compromised 26,000+ agents by bypassing scannerscybersecuritynews.comKey quotes
· 3 pulledA malicious AI 'skill' created as part of a controlled security experiment has exposed critical weaknesses in modern AI agent ecosystems, successfully bypassing security scanners and compromising more than 26,000 agents across individual and enterprise environments.
According to researcher Niv Hoffman, the attack began with the creation of a seemingly legitimate AI skill named 'brand-landingpage,' marketed as a no-code tool for building visually appealing product landing pages using Google's Stitch platform.
The skill delivered real functionality, which helped build trust among non-tech users before executing its malicious payload.
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