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 1010 results — Active exploitation, no patchCline: missing Origin check on Hub enables RCE
CVE-2026-59723 Gradio: SSRF via file_fetch() leaks cloud IAM creds
CVE-2026-59806 AVideo Meet: stored XSS via unescaped User-Agent
CVE-2026-60092 Flowise: path traversal in vector store basePath
CVE-2026-56273 OpenLLM: command injection via model repo name
CVE-2026-15035 mem0: unauth config API leaks API keys + SSRF
CVE-2026-59706 open-webui: blind SSRF via image-edit URL fetch
CVE-2026-34225 LangGraph: weak hash in task cache risks poisoning
CVE-2026-14742 exo: weak hash algorithm in vision feature cache key
CVE-2026-14738 ONNX: OOB read in shape inference parsing untrusted models
CVE-2026-14647 fickling: shared-state bug disables ML pickle allowlist check
CVE-2026-14535 fickling: denylist gaps let malicious pickles execute
CVE-2026-14534 AI-fundermentals: weak hash exposes chat session data
CVE-2026-14630 HestiaCP: cronjob flaw lets low-priv users get root
CVE-2026-12196 picklescan: detection bypass enables pickle RCE
CVE-2025-71375 picklescan: methodcaller bypass enables pickle RCE
CVE-2025-71373 Picklescan: RCE gadget bypasses pickle safety scanner
CVE-2025-71372 picklescan misses malicious pickles via torch decoder
CVE-2025-71369 picklescan: attrgetter bypass evades malicious pickle scan
CVE-2025-71367 picklescan: scan bypass lets malicious pickle RCE
CVE-2025-71366 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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