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
2,385

AI/ML CVEs Tracked

340

Critical

372

New This Week

18

In CISA KEV

Latest AI Security Threats

Showing 11 of 351 results — High severity, has patch
HIGH EXPLOIT AVAIL

OpenWebUI: path traversal RCE via audio upload API

CVE-2024-8060
8.1
EPSS 0.9%
Code Execution Data Extraction Framework API
open-webui Patch: 0.5.17 CWE-22 5 ATLAS
HIGH EXPLOIT AVAIL

ONNX: path traversal in download_model enables RCE

CVE-2024-7776
8.1
EPSS 1.4%
Supply Chain Code Execution Framework Model
onnx Patch: 1.17.0 CWE-22 1.2K 3 ATLAS
HIGH EXPLOIT AVAIL

Open-WebUI: CSRF enables RCE via pipeline code injection

CVE-2024-7806
8.0
EPSS 0.4%
Code Execution Auth Bypass Framework API
open-webui Patch: 0.3.33 CWE-352 6 ATLAS
HIGH

open-webui: DoS via malformed multipart boundary

GHSA-6wj5-5pgr-jwq8
7.5
DoS Framework API
open-webui Patch: 0.4.7 CWE-400 3 ATLAS
HIGH EXPLOIT AVAIL

lollms: RCE via eval() sandbox bypass in Calculate

CVE-2024-6982
8.4
EPSS 0.4%
Code Execution Auth Bypass Framework API
lollms Patch: 11.0.0 CWE-94 4 ATLAS
HIGH

litellm: unauthenticated DoS crashes LLM proxy server

CVE-2024-10188
7.5
EPSS 0.5%
DoS Framework API Inference
litellm Patch: 1.53.1.dev1 CWE-400 6 3 ATLAS
HIGH

Label Studio: SSRF via S3 endpoint exposes internal services

CVE-2025-25297
8.6
EPSS 0.5%
Data Extraction Auth Bypass Framework Training Data
label-studio Patch: 1.16.0 CWE-918 1 4 ATLAS
HIGH EXPLOIT AVAIL

Label Studio SDK: path traversal leaks server filesystem

CVE-2025-25295
--
EPSS 0.7%
Data Extraction Data Leakage Privacy Violation Framework Training Data
label-studio-sdk Patch: 1.0.10 CWE-26 1 5 ATLAS
HIGH

TorchGeo: RCE via code injection in geospatial ML lib

CVE-2024-49048
8.1
EPSS 1.2%
Code Execution Supply Chain Framework Training Data
torchgeo Patch: 0.6.1 CWE-94 15 5 ATLAS
HIGH EXPLOIT AVAIL

ONNX: path traversal in model download enables RCE

CVE-2024-5187
8.8
EPSS 1.2%
Supply Chain Code Execution Framework Model
onnx Patch: 1.16.2 CWE-22 1.2K 4 ATLAS
HIGH

Jupyter Notebook: XSS via malicious .ipynb file

CVE-2018-8768
7.8
EPSS 1.1%
Code Execution Supply Chain Data Extraction Framework
notebook Patch: 5.4.1 3.0K 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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