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
Critical
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Latest AI Security Threats
Showing 20 of 4307 resultsMCP Atlassian: project/space filter bypass exposes data
CVE-2026-77251MCP Atlassian: filter bypass exposes Jira/Confluence data
CVE-2026-77252MCP Atlassian: SSRF via header URLs bypasses prior fix
CVE-2026-77267MCP Atlassian: cleartext OAuth token file readable locally
CVE-2026-77250MCP Atlassian: unauthenticated access to operator Jira/Confluence
CVE-2026-77244MCP Atlassian: DNS-rebinding SSRF exposes internal services
CVE-2026-77265MCP Atlassian: path traversal in attachment upload leaks files
CVE-2026-77270MCP Atlassian: path traversal exposes server files
CVE-2026-77258mcp-atlassian: SSRF via backslash URL parsing confusion
CVE-2026-77274LightRAG: error messages leak paths and DB credentials
CVE-2026-85709F5 BIG-IP APM: unauthenticated RCE via OAuth server
CVE-2026-94127MarketKing WP: missing authz exposes vendor financial pages
CVE-2026-93344x-ui: reflected XSS in admin panel menu highlighting
CVE-2026-79315CKAN MCP Server: DNS-based SSRF reaches cloud metadata
CVE-2026-61612libstdc++: integer overflow in aligned new risks corruption
CVE-2026-95619PixelPlay WP: missing auth lets attackers delete API keys
CVE-2025-14486TranslatePress: stored XSS via translation memory panel
CVE-2026-89412vLLM: Mooncake KV cache leak enables GPU DoS
CVE-2026-94627vLLM: unvalidated tp_size allows memory-exhaustion DoS
CVE-2026-94626vLLM: Mooncake placeholder leak enables slow DoS
CVE-2026-94625Frequently 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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