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EUVD
EUVD
•added 2026/08/25 2:15 p.m.•25 views

EUVD-2026-53580

PraisonAI workflow include bypasses tools.py autoload opt-in and executes included recipe code...

7.8CVSS5.8AI score0.00224EPSS
SaveExploits0References4
Positive Technologies
Positive Technologies
•added 2026/06/18 12:00 a.m.•42 views

PT-2026-61796

Name of the Vulnerable Software and Affected Versions praisonai versions 4.5.87 through 4.6.57 Description A policy bypass exists in the recipe execution process where the dangerous-tool policy fails to inspect the workflow file. While the system is designed to block default-denied tools unless...

7.8CVSS6.1AI score
SaveExploits0References7
Positive Technologies
Positive Technologies
•added 2026/06/18 12:00 a.m.•24 views

PT-2026-53128

Summary PraisonAI recipe execution has a dangerous-tool policy that is supposed to block default-denied tools unless the caller explicitly passes allow dangerous tools=True. That policy only checks tools declared in TEMPLATE.yaml requires.tools. For steps-based recipes, the actual execution path...

7.8CVSS6AI score
SaveExploits0References3
Positive Technologies
Positive Technologies
•added 2026/06/18 12:00 a.m.•27 views

PT-2026-61763

Name of the Vulnerable Software and Affected Versions PraisonAI versions 4.5.87 through 4.6.57 Description The recipe.run stream function fails to enforce the dangerous-tool policy, allowing recipes to execute tools that are denied by default. While the standard recipe.run path uses check tool...

7.8CVSS6.3AI score
SaveExploits0References7
RedhatCVE
RedhatCVE
•added 2025/02/05 3:57 a.m.•16 views

CVE-2024-27132

Insufficient sanitization in MLflow leads to XSS when running an untrusted recipe. This issue leads to a client-side RCE when running an untrusted recipe in Jupyter Notebook. The vulnerability stems from lack of sanitization over template variables...

9.6CVSS6.1AI score0.00878EPSS
SaveExploits1References1
PyPA
PyPA
•added 2024/02/23 10:15 p.m.•14 views

PYSEC-2024-240

Insufficient sanitization in MLflow leads to XSS when running an untrusted recipe.This issue leads to a client-side RCE when running an untrusted recipe in Jupyter Notebook.The vulnerability stems from lack of sanitization over template variables...

9.6CVSS6.3AI score0.00878EPSS
SaveExploits1References5Affected Software1
Positive Technologies
Positive Technologies
•added 2024/02/23 12:00 a.m.•9 views

PT-2024-4085

Name of the Vulnerable Software and Affected Versions MLflow versions prior to 2.4.1 Description The issue stems from insufficient sanitization in MLflow, leading to cross-site scripting XSS when running an untrusted recipe. This can be escalated to a client-side remote code execution RCE when...

9.6CVSS8.8AI score0.00878EPSS
SaveExploits1References33
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