AI Security Threat Feed
Latest CVEs affecting AI/ML systems — LLM frameworks, ML libraries, AI agents, vector databases, and inference servers. Vulnerabilities are tracked from NVD, GitHub Advisory, CISA KEV, MITRE ATLAS, and enriched with CVSS, EPSS, exploitation confidence, AI-component classification, and compliance mappings to ISO 42001, EU AI Act, NIST AI RMF, and OWASP LLM Top 10. Updated continuously as new CVEs are published.
- CVSS severity
- EPSS exploit probability
- Exploitation confidence
- AI-component classification
- Compliance mappings
AI/ML CVEs Tracked
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Latest AI Security Threats
Showing 20 of 1033 results — High severitymcp-searxng: SSRF via DNS rebinding in web_url_read
GHSA-mrvx-jmjw-vggc mcp-searxng: DoS via unbounded URL response read
GHSA-xcqx-9jf5-w339 Langflow: pre-auth DoS via malformed multipart boundary
CVE-2026-55446 jupyterlab-git: excluded_paths bypass exposes secrets
CVE-2026-54528 jupyterlab-git: stored XSS escalates to full RCE
CVE-2026-54527 Stanza: pickle fallback bypass enables model RCE
CVE-2026-54499 Home Assistant Konnected: auth bypass leaks alarm panel state
CVE-2026-54317 containerd: symlink follow leaks host files via kubectl logs
CVE-2026-53489 containerd: label injection enables host RCE via CRI plugin
CVE-2026-53488 agentic-flow: MCP tool args enable OS command injection RCE
GHSA-vcv2-r9jh-99m5 line-desktop-mcp: unauthenticated HTTP exposes LINE chats
CVE-2026-49357 PraisonAI: path traversal → arbitrary file read/write/RCE
CVE-2026-56078 PraisonAI: CORS bypass enables arbitrary agent execution
CVE-2026-56076 PraisonAI: RCE via hardcoded approval_mode bypass
CVE-2026-56075 agenticmail: email prompt injection → bypassPermissions RCE
GHSA-fq4x-789w-jg5h Eclipse Theia: workspace prompt injection enables RCE/exfil
CVE-2026-46580 Eclipse Theia: indirect prompt injection → RCE + exfil
CVE-2026-44688 Kirby CMS: stored XSS bypasses DOM sanitizer via unwrap flaw
CVE-2026-54002 Kirby CMS: XSS via writer field malicious links
CVE-2026-49276 PraisonAI: sandbox escape via silent Landlock fallback
GHSA-6jcq-6546-qrrw Frequently asked questions
What is an AI security threat feed?
An AI security threat feed is a continuously updated stream of vulnerabilities (CVEs) affecting AI and machine-learning systems — LLM frameworks, ML libraries, AI agents, vector databases, and inference servers — filtered out of the broader CVE firehose and enriched for relevance.
Which sources are the AI CVEs tracked from?
CVEs are tracked from NVD, GitHub Advisory, CISA KEV, and MITRE ATLAS, then enriched with CVSS, EPSS, exploitation confidence, AI-component classification, and compliance mappings.
What AI systems do these vulnerabilities affect?
Coverage spans LLM frameworks, ML libraries, AI agents, vector databases, and inference servers — the components most security teams now run in production.
How often is the AI threat feed updated?
The feed updates continuously as new CVEs are published and enriched, so the most recent AI/ML vulnerabilities appear at the top.
Is the AI security feed free?
Yes — the public feed is free to browse. A Pro subscription adds breaking alerts, MITRE ATLAS mappings, compliance reports (ISO 42001, EU AI Act), and full CISO analysis.
Need deeper analysis?
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