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
Critical
New This Week
In CISA KEV
Latest AI Security Threats
Showing 20 of 1553 results — no patchPickleScan: pty.spawn bypass enables RCE in model scans
CVE-2025-71322 picklescan: blocklist bypass allows arbitrary file write/RCE
CVE-2025-71321 picklescan: deny-list bypass enables arbitrary RCE
CVE-2025-71320 vLLM: decompression bomb OOM via audio endpoint
CVE-2026-54233 vLLM: heap address leak enables ASLR bypass
CVE-2026-54236 vLLM: integer truncation leaks GPU memory cross-tenant
CVE-2026-53923 vllm: EXIF/tRNS preprocessing gap enables adversarial input
GHSA-8jr5-v98p-w75m vLLM: NaN/Inf bypass crashes GPU inference workers
CVE-2026-54235 Oracle Coherence: unauthenticated HTTP full takeover
CVE-2026-35310 Oracle Coherence: unauthenticated RCE via HTTP (CVSS 9.8)
CVE-2026-35309 Oracle Coherence: unauthenticated RCE via third-party jars
CVE-2026-35308 Oracle Coherence: unauthenticated RCE, CVSS 10.0
CVE-2026-35307 Oracle Coherence: unauthenticated data access via HTTP
CVE-2026-35306 Oracle Coherence: unauth data exfiltration via bundled libs
CVE-2026-35305 Oracle Coherence: unauthenticated HTTPS takeover
CVE-2026-35304 vLLM: image metadata mishandling corrupts multimodal inputs
CVE-2026-12491 WPBot Pro: subscriber file deletion → system DoS
CVE-2025-60223 pi-coding-agent: XSS in HTML exports via prompt injection
CVE-2026-54326 backpropagate: auth bypass exposes LLM training plane
CVE-2026-48797 LangGraph SDK: path traversal bypasses proxy-layer authz
CVE-2026-48776 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?
Get ATLAS technique mappings, compliance reports (ISO 42001, EU AI Act), breaking alerts, and full CISO analysis with a Pro subscription.
Start 14-Day Free Trial