VQV Signal
Researchers discovered sandbox escape vulnerabilities in AI coding tools Cursor, Codex, Gemini CLI, and Antigravity by exploiting AI agents to write files executed by trusted host tools. Multiple CVEs were issued, patches released, and Google downgraded two Antigravity findings.
Researchers discovered sandbox escape vulnerabilities in AI coding tools Cursor, Codex, Gemini CLI, and Antigravity by exploiting AI agents to write files executed by trusted host tools. Multiple CVEs were issued, patches released, and Google downgraded two Antigravity findings.
AI-assisted summary based on the listed source.
Researchers escaped the sandboxes in Cursor, Codex, Gemini CLI and Antigravity by having the AI agent write files that trusted host tools later run. Multiple CVEs, patches, and Google downgrading two Antigravity findings. [...]
These sandbox escapes highlight security risks in AI coding environments where malicious code could bypass isolation and run on host systems. Addressing these vulnerabilities is critical to maintaining trust and safety in AI-assisted development tools.
Security-conscious readers may want to review the source and watch for practical exposure or mitigation details.
VQV organizes public signals from inspectable sources. It does not independently verify the underlying report.
Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.
Gemini has a source-backed security with coverage spanning security.
VQV surfaced this signal because it is recent, relevant to AI Coding Tools, connected to BleepingComputer.
No login, cookies, social SDKs, or automatic posting.