AI Threat AlertAI 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 1346 results — Active exploitation, no patchmem0: unauth config API leaks API keys + SSRF
CVE-2026-59706open-webui: blind SSRF via image-edit URL fetch
CVE-2026-34225LangGraph: weak hash in task cache risks poisoning
CVE-2026-14742exo: weak hash algorithm in vision feature cache key
CVE-2026-14738ONNX: OOB read in shape inference parsing untrusted models
CVE-2026-14647fickling: shared-state bug disables ML pickle allowlist check
CVE-2026-14535fickling: denylist gaps let malicious pickles execute
CVE-2026-14534AI-fundermentals: weak hash exposes chat session data
CVE-2026-14630HestiaCP: cronjob flaw lets low-priv users get root
CVE-2026-12196picklescan: detection bypass enables pickle RCE
CVE-2025-71375picklescan: methodcaller bypass enables pickle RCE
CVE-2025-71373Picklescan: RCE gadget bypasses pickle safety scanner
CVE-2025-71372picklescan misses malicious pickles via torch decoder
CVE-2025-71369picklescan: attrgetter bypass evades malicious pickle scan
CVE-2025-71367picklescan: scan bypass lets malicious pickle RCE
CVE-2025-71366picklescan: scanner blind spot enables pickle RCE
CVE-2025-71364picklescan: scanner bypass enables RCE via numpy eval
CVE-2025-71362picklescan: scanner bypass enables pickle RCE
CVE-2025-71360picklescan: scan bypass lets malicious models RCE
CVE-2025-71359picklescan: torch.fx gadget bypasses malicious-pickle detection
CVE-2025-71356Frequently 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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