AI Threat AlertAI 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 resultsPyTorch: DoS via sparse/dense tensor Inductor compile
CVE-2025-55560TensorFlow: DoS via Conv2D valid padding crash
CVE-2025-55559PyTorch: Inductor compiler buffer overflow causes DoS
CVE-2025-55558PyTorch: DoS via cummin+Inductor NameError in 2.7.0
CVE-2025-55557TensorFlow: non-deterministic compilation breaks Embedding
CVE-2025-55556PyTorch: integer overflow in nan_to_num causes DoS
CVE-2025-55554PyTorch 2.7.0: DoS via proxy_tensor.py syntax error
CVE-2025-55553PyTorch: integer overflow in rot90+randn_like causes DoS
CVE-2025-55552PyTorch: DoS in linalg.lu via malformed slice op
CVE-2025-55551PyTorch: Dropout inconsistency enables membership inference
CVE-2025-46153PyTorch: OOB write causes incorrect bitwise shift results
CVE-2025-46152PyTorch: torch.compile silent output inconsistency
CVE-2025-46150PyTorch: reachable assertion in nn.Fold with inductor
CVE-2025-46149PyTorch: PairwiseDistance silent miscalculation, integrity risk
CVE-2025-46148libtiff: arbitrary write via crafted TIFF image
CVE-2025-9900Transformers: ReDoS in optimizer halts training pipelines
CVE-2025-6921OpenAI Codex CLI: sandbox escape via model-generated cwd
CVE-2025-59532Flowise: Unauthenticated RCE via MCP config injection
CVE-2025-59528Flowise: unauthenticated SSRF exposes internal network
CVE-2025-59527Flowise Cloud: cross-tenant env var exposure leaks API keys
CVE-2025-59434Frequently 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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