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 3590 resultsIBM Langflow OSS 1.0.0 through 1.11.5 is vulnerable to server-side request forgery (SSRF). This may allow an unauthenticated attacker to send unauthorized...
CVE-2026-12767 IBM Langflow OSS 1.0.0 through 1.11.2 is vulnerable to server-side request forgery (SSRF). This may allow an authenticated attacker to send unauthorized...
CVE-2026-12766 IBM Langflow OSS 1.0.0 through 1.10.2 is vulnerable to server-side request forgery (SSRF). This may allow an unauthenticated attacker to send unauthorized...
CVE-2026-12765 IBM Langflow OSS 1.0.0 through 1.11.5 could allow an authenticated attacker to access another user's MCP server context due to improper cache key isolation in...
CVE-2026-12763 Tract is a tiny, no-nonsense, self-contained TensorFlow and ONNX inference toolkit. Prior to 0.21.16, 0.22.2, and 0.23.1, tract-nnef uses unchecked usize...
CVE-2026-55093 IBM Langflow OSS 1.0.0 through 1.10.2 could allow a remote authenticated attacker to change the password of an account due to improper authentication.
CVE-2026-17628 MCP Atlassian is a Model Context Protocol (MCP) server for Atlassian products (Confluence and Jira). From 0.17.0 until 0.22.0, validate_url_for_ssrf resolves...
CVE-2026-73497 MCP Atlassian is a Model Context Protocol (MCP) server for Atlassian products (Confluence and Jira). Prior to 0.22.0, the confluence_upload_attachment and...
CVE-2026-73496 dd-trace-java: baggage header parsing causes DoS
CVE-2026-50270 Filament Comments: stored XSS via admin panel
CVE-2026-90943 PraisonAI: path traversal lets agents read/write any file
CVE-2026-57145 PraisonAI: auth bypass on agent invoke endpoint
CVE-2026-57132 PraisonAI: no-auth API exposes agent execution
CVE-2026-57131 PraisonAI: auth middleware fails open, exposes agents
CVE-2026-57127 PraisonAI: unauth RCE via MCP connect endpoint
CVE-2026-57124 PraisonAI: missing HMAC check lets forged bot events
CVE-2026-57122 PraisonAI: path traversal exposes local files
CVE-2026-57119 PraisonAI: path traversal escapes agent workspace sandbox
CVE-2026-56839 PraisonAI: IMAP injection via unsanitized email tool params
CVE-2026-57130 PraisonAI: path traversal exposes arbitrary files
CVE-2026-57129 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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