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 943 results — High severity, Active exploitationOpen WebUI: revoked JWTs bypass WebSocket auth
CVE-2026-59219Cline: missing Origin check on Hub enables RCE
CVE-2026-59723Serena: unauth dashboard API enables RCE via memory poisoning
CVE-2026-49471LiteLLM: MCP auth bypass via fabricated OAuth header
CVE-2026-59822Gradio: SSRF via file_fetch() leaks cloud IAM creds
CVE-2026-59806OpenLLM: command injection via model repo name
CVE-2026-15035Foxit PDF: use-after-free in attachment panel via JS page deletion
CVE-2026-57252Open WebUI: stored XSS via chat 'embeds' iframe escape
CVE-2026-26193Open WebUI: stored XSS via citation iFrame → admin RCE
CVE-2026-26192Open WebUI: chat XSS steals tokens, admin RCE
CVE-2025-46719vLLM: crafted spec-decoding request crashes GPU worker (DoS)
CVE-2026-54234Langroid: auth bypass invokes disabled tools via raw JSON
CVE-2026-54771fickling: denylist gaps let malicious pickles execute
CVE-2026-14534HestiaCP: 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-2025-71366Frequently 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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