CVE-2024-11393
Official description Straight from the sourceThe vendor's or NVD's own wording, published unedited. Authoritative, but often terse — it says what broke, rarely what to do.
NVD · uneditedHugging Face Transformers MaskFormer Model Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face Transformers. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file. The specific flaw exists within the parsing of model files. The issue results from the lack of proper validation of user-supplied data, which can result in deserialization of untrusted data. An attacker can leverage this vulnerability to execute code in the context of the current user. Was ZDI-CAN-25191.
Technical summary Written by usOur analysis, written from the advisory, the CVSS vector and the affected-version data. It adds context the advisory leaves out, and never invents facts that are not in the source.
dbcve analysis · high confidenceThis vulnerability exists in Hugging Face Transformers' MaskFormer model implementation. The flaw stems from improper validation of user-supplied data during model file parsing, which can lead to unsafe deserialization of untrusted data. An attacker can craft a malicious model file that, when loaded by a victim, triggers arbitrary code execution in the context of the current user.
Verify against the referenced sources before acting — the references below are authoritative for this CVE, this summary is not.
Affected products & versions What the vendor confirmedThe version ranges the vendor confirmed as vulnerable. If your version sits inside a range here, treat yourself as exposed until you have upgraded.
NVD · CPE data< 4.48.0CVSS breakdown How the score is builtThe industry scoring standard. It rates how the flaw is reached, what it takes to exploit, and what an attacker gains — the score is derived from those, not the other way round.
From the vector- Attack vector
- Network
- Complexity
- Low
- Privileges
- None
- User interaction
- Required
- Scope
- Unchanged
- Confidentiality
- High
- Integrity
- High
- Availability
- High
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
Am I affected? How to checkSteps we derive from the advisory and the affected-version data, so you can decide whether this CVE reaches your setup. They are a guide, not a scan — your own configuration is the authority.
dbcve checksWork through these to decide whether this CVE applies to you.
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Check installed Transformers versionRun: pip show transformers | grep Version or import transformers; print(transformers.__version__)Affected if Version is less than 4.48.0
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Verify MaskFormer model usageSearch codebase for imports: from transformers import MaskFormer or model_name includes 'maskformer'Affected if MaskFormer model is imported or loaded in the environment
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Identify model loading mechanismsSearch for model loading calls: AutoModel.from_pretrained, MaskFormerForInstanceSegmentation.from_pretrained, or similar loading functionsAffected if Code loads model files via from_pretrained or similar methods
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Audit model file sourcesReview configuration/logs to determine origin of loaded model files - check if loaded from untrusted paths, community hubs, or user-supplied filesAffected if Models are loaded from untrusted or user-supplied sources without verification
Environment is affected if Transformers version is below 4.48.0 AND MaskFormer models are loaded, particularly from untrusted or user-supplied model files.
Generated from the published advisory. Verify against your own configuration.
Remediation Closing itWhat it takes to close this. Where a vendor fix exists we point at it; where none exists we say so plainly, and can build one. Effort estimates are scoped from the advisory, not from your codebase.
dbcve · scoped4.48.0
Users should only load model files from trusted sources and verify integrity before use. The library maintainers need to implement proper validation of model data prior to deserialization to prevent unsafe data loading.
transformers >= 4.48.0
- 1. Check the current version of the transformers library by running: pip show transformers | grep Version
- 2. Upgrade to version 4.48.0 or later using: pip install --upgrade transformers
- 3. Verify the upgrade was successful by running: pip show transformers | grep Version
- 4. Test that existing code using the MaskFormer model still functions correctly after the upgrade
Generated from the published advisory — verify against the referenced sources before acting.
- Consultation4.0 h
- Implementation12.0 h
- Testing6.0 h
- Review / QA3.0 h
An estimate, not a bill — we confirm scope with you before any work starts. Need it this week? Rush from $7,040.
Scan for this in your stack
Free · runs locallyCheck whether your project pulls in CVE-2024-11393 — or any other known-vulnerable package — straight from your lock files. Free and open source; it runs locally and uploads nothing.
References Go to the primary sourcePrimary sources — vendor advisories, patches and trackers. Where our summary and a reference disagree, the reference wins.
Primary sourcesPractitioner notes
ContributedPeer-ranked notes from engineers who’ve handled CVE-2024-11393 in production — separate from our analysis above.
The advisory tells you what broke. It rarely tells you what actually worked. If you’ve dealt with this one, that detail is what the next engineer is searching for.
- The version that genuinely resolved it — not the one the vendor claimed
- A config change or rule that shut the vector down
- A gotcha in the upgrade path that cost you an afternoon
No notes yet
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- Verified mitigations, workarounds, and config changes
- Version or environment caveats, and links to real fixes
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