LowVulnerability
CVE-2026-10803: MLflow weak hash in Dataset Digest Computation via digest_utils
- Source
- NVD(opens in a new tab)
- Identifier
- CVE-2026-10803
- Published
- Record updated
- Affected
- mlflow < 3.10.1
- Fixed in
- 3.10.1
- released March 5, 2026, 91 days before disclosure
- Known exploitation
- Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
- EPSS
- 0.1%
Summary
A flaw in MLflow up to 3.10.0 affects the function mlflow.data.digest_utils in mlflow/data/digest_utils.py, within the Dataset Digest Computation component. The flaw causes the use of a weak hash and can be exploited locally, with high complexity and difficult exploitability. A published exploit exists, and the project was informed early through a pull request but has not yet responded.
Mitigation
The source does not state a fix yet. Check the original advisory for updates.
Affected packages in the Exposure Registry
Matched by package name and ecosystem. Each entry shows whether the package delegates to a language model and how many tracked packages depend on it.
- mlflowPyPILLM dependency since 2024-05-30 · 17 tracked dependents
Related items
- MediumCVE-2026-122160: myshell-ai AIlice HuggingFace Model Wrapper untrusted model loadingSimilar attack · NVD/CVE Database
- MediumCVE-2026-122159: Edge0-AI Audio8_TTS path traversal via slow_decode_models argumentSimilar attack · NVD/CVE Database
- MediumCVE-2026-122235: Jan workspace guard bypass allows file writes outside workspace via symlinksSimilar attack · NVD/CVE Database
- HighCVE-2026-122135: Mistral Vibe remote code execution via repository gpg.program settingSimilar attack · NVD/CVE Database
- HighCVE-2026-122134: Mistral Vibe remote code execution through malicious Git filter driversSimilar attack · NVD/CVE Database