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 4307 resultslangchain4j-aideepin: IDOR exposes other users' character chats
CVE-2026-121938MLflow: unauthenticated SSRF in get-artifacts leaks data
CVE-2026-118628MLflow: SHAP explainer deserialization allows RCE
CVE-2026-118627MLflow: missing authorization allows privilege escalation
CVE-2026-118626MLflow: missing authorization allows privilege escalation
CVE-2026-118625MLflow: missing authz in jobs allows info disclosure
CVE-2026-118624MLflow: pickle deserialization enables RCE
CVE-2026-118623Stanza: unsafe pickle in lemma model load enables RCE
CVE-2026-115878Claude Code: TOCTOU symlink race lets sandbox escape file write
CVE-2026-88968Claude Desktop: untrusted search path runs rogue git.exe
CVE-2026-88066APM Server: OTLP memory exhaustion causes DoS
CVE-2026-115716Elastic Docker images: compromised eMudhra CAs enable TLS MITM
CVE-2026-115714Elastic APM Server: config mixup leaks other services' settings
CVE-2026-115289FreeRDP proxy: DVC reassembly memory exhaustion DoS
CVE-2026-121412Label Studio: SSRF in export leaks internal data, API token
CVE-2026-121561Android SystemUI: URI squatting enables spoofed Quick Controls
CVE-2026-58930DBHub: read-only bypass via MySQL comment parsing
GHSA-j656-3hf2-fvjcCrewAI: SSRF guard parser differential enables internal access
CVE-2026-120630Chainlit: SSRF via semicolon bypass of MCP allowed_urls
CVE-2026-120492Apache Wicket: JS escaping flaw enables XSS
CVE-2026-83559Frequently 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.
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