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CVE-2025-13327GHSA-PQHF-P39G-3X64GHSA-V653-R55G-HCMGPYSEC-2026-2295

Uv: uv: specially crafted zip archives lead to arbitrary code execution due to parsing differentials

Published
Last modified
published
Not listed in CISA KEV
Fix
Fixed in 0.9.6
None on Exploit-DB, Metasploit or GitHub
  • Exploitation: none
  • Automatable: no
  • Technical impact: total

Summary

A flaw was found in uv. This vulnerability allows an attacker to execute malicious code during package resolution or installation via specially crafted ZIP (Zipped Information Package) archives that exploit parsing differentials, requiring user interaction to install an attacker-controlled package.

Timeline

  1. CVE published
  2. CISA SSVC assessment

    Exploitation: none · Automatable: no · Technical impact: total

  3. Record last updated

Affected versions

  • uv

    fixed in 0.9.6

  • rhai/base-image-rocm-rhel9

    Version range not reported

  • rhai/base-image-cpu-rhel9

    Version range not reported

  • rhai/base-image-cuda-rhel9

    Version range not reported

  • rhai/base-image-cpu-rhel9

    Version range not reported

  • rhai/base-image-cuda-rhel9

    Version range not reported

  • rhai/base-image-rocm-rhel9

    Version range not reported

  • rhaiis/model-opt-cuda-rhel9

    Version range not reported

  • rhaiis-preview/vllm-cuda-rhel9

    Version range not reported

  • rhaiis/vllm-cuda-rhel9

    Version range not reported

  • rhaiis/vllm-rocm-rhel9

    Version range not reported

  • rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9

    Version range not reported

  • rhoai/odh-pipeline-runtime-minimal-cpu-py312-rhel9

    Version range not reported

  • rhoai/odh-pipeline-runtime-pytorch-cuda-py312-rhel9

    Version range not reported

  • rhoai/odh-pipeline-runtime-pytorch-llmcompressor-cuda-py312-rhel9

    Version range not reported

  • rhoai/odh-pipeline-runtime-pytorch-rocm-py312-rhel9

    Version range not reported

  • rhoai/odh-pipeline-runtime-tensorflow-cuda-py312-rhel9

    Version range not reported

  • rhoai/odh-pipeline-runtime-tensorflow-rocm-py312-rhel9

    Version range not reported

  • rhoai/odh-training-rocm64-torch28-py312-rhel9

    Version range not reported

  • rhoai/odh-vllm-cpu-rhel9

    Version range not reported

  • rhoai/odh-workbench-codeserver-datascience-cpu-py312-rhel9

    Version range not reported

  • rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9

    Version range not reported

  • rhoai/odh-workbench-jupyter-minimal-cpu-py312-rhel9

    Version range not reported

  • rhoai/odh-workbench-jupyter-minimal-cuda-py312-rhel9

    Version range not reported

  • rhoai/odh-workbench-jupyter-minimal-rocm-py312-rhel9

    Version range not reported

  • rhoai/odh-workbench-jupyter-pytorch-cuda-py312-rhel9

    Version range not reported

  • rhoai/odh-workbench-jupyter-pytorch-llmcompressor-cuda-py312-rhel9

    Version range not reported

  • rhoai/odh-workbench-jupyter-pytorch-rocm-py312-rhel9

    Version range not reported

  • rhoai/odh-workbench-jupyter-tensorflow-cuda-py312-rhel9

    Version range not reported

  • rhoai/odh-workbench-jupyter-tensorflow-rocm-py312-rhel9

    Version range not reported

  • rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9

    Version range not reported

  • uvPyPI

    fixed in 0.9.6

  • uvcrates.io

    fixed in 0.9.6

References 8

access.redhat.com

bugzilla.redhat.com

GitHub · astral-sh/uv