AI Threat Alert
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 2377 results CVE-2023-25667 TensorFlow: integer overflow DoS in video frame decoding 7.5 0.3% tensorflow Mar 25 HIGH CVE-2023-25666 TensorFlow: FPE in AudioSpectrogram causes DoS 7.5 0.4% tensorflow Mar 25 HIGH E CVE-2023-25665 TensorFlow: null ptr deref DoS via sparse tensors 7.5 0.4% tensorflow Mar 25 CRIT E CVE-2023-25664 TensorFlow: heap overflow in AvgPoolGrad, RCE risk 9.8 0.4% tensorflow Mar 25 HIGH CVE-2023-25663 TensorFlow: null ptr deref crashes inference serving 7.5 0.4% tensorflow Mar 25 HIGH CVE-2023-25662 TensorFlow: integer overflow in EditDistance causes DoS 7.5 0.4% tensorflow Mar 25 HIGH CVE-2023-25660 TensorFlow: null ptr deref in Print op allows remote DoS 7.5 0.4% tensorflow Mar 25 HIGH CVE-2023-25659 TensorFlow: OOB read in DynamicStitch enables DoS 7.5 0.4% tensorflow Mar 25 HIGH CVE-2023-25658 TensorFlow: OOB read in GRUBlockCellGrad causes DoS 7.5 0.4% tensorflow Mar 25 CRIT CVE-2023-1177 MLflow: path traversal allows arbitrary file read/write 9.8 69.5% mlflow Mar 24 LOW E CVE-2023-1176 MLflow: path traversal exposes arbitrary local files 3.3 0.6% mlflow Mar 24 MEDI CVE-2023-27494 Streamlit: reflected XSS enables session hijacking 6.1 0.4% streamlit Mar 16 CRIT E CVE-2023-25823 Gradio: hardcoded SSH key leaks via share=True demos 9.8 0.6% gradio Feb 23 CRIT CVE-2022-41910 TensorFlow Grappler: OOB read crashes or leaks memory 9.1 0.4% tensorflow Dec 6 CRIT E CVE-2022-41902 TensorFlow Grappler: OOB read/crash via crafted model 9.1 0.4% tensorflow Dec 6 CRIT E CVE-2022-45907 PyTorch: RCE via unsafe eval in JIT annotations 9.8 1.2% pytorch Nov 26 HIGH CVE-2022-41911 TensorFlow: type confusion DoS via bool cast in tensors 7.5 0.4% tensorflow Nov 18 HIGH E CVE-2022-41909 TensorFlow: remote DoS via malformed tensor input 7.5 0.5% tensorflow Nov 18 HIGH E CVE-2022-41908 TensorFlow: DoS via invalid UTF-8 input to PyFunc op 7.5 0.4% tensorflow Nov 18 HIGH E CVE-2022-41907 TensorFlow: integer overflow in ResizeNearestNeighborGrad → DoS 7.5 0.4% tensorflow Nov 18 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.
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