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.

Each CVE is enriched with
  • CVSS severity
  • EPSS exploit probability
  • Exploitation confidence
  • AI-component classification
  • Compliance mappings
2,377

AI/ML CVEs Tracked

337

Critical

391

New This Week

18

In CISA KEV

Latest AI Security Threats

Showing 20 of 839 results — Medium severity
MEDIUM

picklescan: scanner bypass allows pickle-based RCE

GHSA-j343-8v2j-ff7w
--
Supply Chain Code Execution Model Poisoning Model Framework
picklescan Patch: 0.0.30 3 6 ATLAS
MEDIUM

picklescan: scanner bypass enables RCE via ML models

GHSA-m869-42cg-3xwr
--
Supply Chain Code Execution Model Framework
picklescan Patch: 0.0.30 3 7 ATLAS
MEDIUM

picklescan: detection bypass allows pickle RCE in ML pipelines

GHSA-p9w7-82w4-7q8m
--
Supply Chain Code Execution Framework Model
picklescan Patch: 0.0.30 3 5 ATLAS
MEDIUM

picklescan: scanner bypass leads to undetected RCE

GHSA-xp4f-hrf8-rxw7
--
Supply Chain Code Execution Model Framework
picklescan Patch: 0.0.30 3 6 ATLAS
MEDIUM

picklescan: scanner bypass enables PyTorch gadget RCE

GHSA-4whj-rm5r-c2v8
--
Supply Chain Code Execution Framework Model
picklescan Patch: 0.0.30 3 6 ATLAS
MEDIUM

picklescan: scanner bypass enables RCE via model files

GHSA-9xph-j2h6-g47v
--
Supply Chain Code Execution Model Framework
picklescan Patch: 0.0.29 3 6 ATLAS
MEDIUM

picklescan: RCE bypass enables ML supply chain attack

GHSA-8r4j-24qv-fmq9
--
Supply Chain Code Execution Framework Model
picklescan Patch: 0.0.29 3 6 ATLAS
MEDIUM

picklescan: security bypass enables RCE in ML pipelines

GHSA-cj3c-v495-4xqh
--
Supply Chain Code Execution Model Framework
picklescan Patch: 0.0.29 3 6 ATLAS
MEDIUM

picklescan: detection bypass allows malicious pickle RCE

GHSA-7cq8-mj8x-j263
--
Supply Chain Code Execution Model Framework
picklescan Patch: 0.0.29 3 6 ATLAS
MEDIUM

picklescan: detection bypass allows RCE via ML model files

GHSA-6w4w-5w54-rjvr
--
Supply Chain Code Execution Model Framework
picklescan Patch: 0.0.29 3 6 ATLAS
MEDIUM

picklescan: RCE bypass via idlelib SetText evasion

GHSA-3vg9-h568-4w9m
--
Supply Chain Code Execution Model Framework
picklescan Patch: 0.0.29 3 6 ATLAS
MEDIUM

picklescan: scanner bypass enables RCE in ML models

GHSA-f54q-57x4-jg88
--
Supply Chain Code Execution Framework Model
picklescan Patch: 0.0.29 3 7 ATLAS
MEDIUM

picklescan: scanner bypass enables RCE via ML models

GHSA-6vqj-c2q5-j97w
--
Supply Chain Code Execution Model Framework
picklescan Patch: 0.0.29 3 5 ATLAS
MEDIUM

picklescan: scan bypass allows RCE in ML pipelines

GHSA-x696-vm39-cp64
--
Supply Chain Code Execution Framework Model
picklescan Patch: 0.0.29 3 5 ATLAS
MEDIUM

picklescan: scanner bypass enables RCE in ML pipelines

GHSA-g344-hcph-8vgg
--
Supply Chain Code Execution Model Framework
picklescan Patch: 0.0.29 3 5 ATLAS
MEDIUM

picklescan: bypass enables undetected RCE in ML models

GHSA-5qwp-399c-mjwf
--
Supply Chain Code Execution Model Framework
picklescan Patch: 0.0.29 3 6 ATLAS
MEDIUM

picklescan: PyTorch gadget bypasses scanner, enables RCE

GHSA-vv6j-3g6g-2pvj
--
Supply Chain Code Execution Framework Model
picklescan Patch: 0.0.28 CWE-345 3 6 ATLAS
MEDIUM

picklescan: PyTorch gadget bypasses pickle RCE detection

GHSA-vr7h-p6mm-wpmh
--
Supply Chain Code Execution Framework Model
picklescan Patch: 0.0.28 CWE-345 3 5 ATLAS
MEDIUM

picklescan: detection bypass via PyTorch proxy RCE

GHSA-h3qp-7fh3-f8h4
--
Supply Chain Code Execution Framework Model
picklescan Patch: 0.0.28 3 7 ATLAS
MEDIUM

picklescan: RCE bypass via torch.utils.collect_env

GHSA-f745-w6jp-hpxx
--
Supply Chain Code Execution Framework Model
picklescan Patch: 0.0.28 CWE-345 3 5 ATLAS

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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