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 4330 resultsLangflow: authenticated RCE enables credential theft
CVE-2026-7873Langflow: Redis-access deserialization enables full RCE
CVE-2026-7871Langflow: malformed flow nodes enable RCE
CVE-2026-7803Langflow: auth bypass in MCP transport exposes projects
CVE-2026-7663Langflow: SSRF via RSS/SearXNG exposes cloud IAM creds
CVE-2026-10564Langflow: missing auth on build API leaks data, enables DoS
CVE-2026-10560Langflow: SSRF via DNS rebinding in URL component
CVE-2026-10546Langflow: cross-tenant API credential leak via cache bug
CVE-2026-10140Langflow: unauthenticated RCE via tool_code injection
CVE-2026-10134Langflow: SSRF protection bypass via redirect
CVE-2026-10129Sigstore TSA: unbounded metrics label DoS
CVE-2026-49835LLaMA-Factory: RCE via malicious model path
CVE-2026-58116GLib: malformed D-Bus XML integer overflow causes DoS
CVE-2026-58016GLib: D-Bus cookie path traversal leaks local files
CVE-2026-58015GLib: off-by-one in key file parser enables DoS
CVE-2026-58014GLib: buffer over-read in line reader causes DoS
CVE-2026-58013GLib: g_regex_replace RAW over-read leaks bytes, DoS
CVE-2026-58012GLib: out-of-bounds read in g_date_time_get_ymd
CVE-2026-58011GLib: off-by-one read in GVariant causes DoS
CVE-2026-58010libarchive: RAR5 double free enables remote DoS
CVE-2026-14164Frequently 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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