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
Critical
New This Week
In CISA KEV
Latest AI Security Threats
Showing 20 of 4307 resultsCVE-2025-55560PyTorch: DoS via sparse/dense tensor Inductor compile7.50.4%pytorchSep 25HIGHECVE-2025-55559TensorFlow: DoS via Conv2D valid padding crash7.50.2%tensorflowSep 25HIGHECVE-2025-55558PyTorch: Inductor compiler buffer overflow causes DoS7.50.5%pytorchSep 25HIGHECVE-2025-55557PyTorch: DoS via cummin+Inductor NameError in 2.7.07.50.4%pytorchSep 25MEDIECVE-2025-55556TensorFlow: non-deterministic compilation breaks Embedding6.50.2%tensorflowSep 25MEDIECVE-2025-55554PyTorch: integer overflow in nan_to_num causes DoS5.30.3%pytorchSep 25HIGHECVE-2025-55553PyTorch 2.7.0: DoS via proxy_tensor.py syntax error7.50.4%pytorchSep 25HIGHECVE-2025-55552PyTorch: integer overflow in rot90+randn_like causes DoS7.50.4%pytorchSep 25HIGHECVE-2025-55551PyTorch: DoS in linalg.lu via malformed slice op7.50.4%pytorchSep 25MEDICVE-2025-46153PyTorch: Dropout inconsistency enables membership inference5.30.4%pytorchSep 25MEDICVE-2025-46152PyTorch: OOB write causes incorrect bitwise shift results5.30.5%pytorchSep 25MEDICVE-2025-46150PyTorch: torch.compile silent output inconsistency5.30.4%pytorchSep 25MEDICVE-2025-46149PyTorch: reachable assertion in nn.Fold with inductor5.30.4%pytorchSep 25MEDICVE-2025-46148PyTorch: PairwiseDistance silent miscalculation, integrity risk5.30.4%pytorchSep 25HIGHECVE-2025-9900libtiff: arbitrary write via crafted TIFF image8.81.0%rhaiis/vllm-cuda-rhel9Sep 23HIGHECVE-2025-6921Transformers: ReDoS in optimizer halts training pipelines7.50.5%transformersSep 23UNKNECVE-2025-59532OpenAI Codex CLI: sandbox escape via model-generated cwd—0.9%—Sep 22CRITECVE-2025-59528Flowise: Unauthenticated RCE via MCP config injection10.086.5%flowiseSep 22HIGHECVE-2025-59527Flowise: unauthenticated SSRF exposes internal network7.55.5%flowiseSep 22CRITECVE-2025-59434Flowise Cloud: cross-tenant env var exposure leaks API keys9.64.0%—Sep 22Frequently 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.
Start 14-Day Free Trial