CVE-2026-31249
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 · uneditedCosyVoice thru commit 6e01309e01bc93bbeb83bdd996b1182a81aaf11e (2025-30-21) contains an insecure deserialization vulnerability (CWE-502) in its make_parquet_list.py data processing tool. The script loads PyTorch .pt files (utterance embeddings, speaker embeddings, speech tokens) using torch.load() without enabling the weights_only=True security parameter. This allows the deserialization of arbitrary Python objects via the pickle module. An attacker can exploit this by providing malicious .pt files within a data directory. When a victim processes this directory using the tool, arbitrary code is executed on the victim's system.
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 confidenceCosyVoice's make_parquet_list.py data processing tool loads PyTorch .pt files (utterance embeddings, speaker embeddings, speech tokens) using torch.load() without the weights_only=True security parameter. Since torch.load() relies on pickle for deserialization, this allows attackers to embed malicious Python objects in .pt files that execute arbitrary code when processed by the victim.
Verify against the referenced sources before acting — the references below are authoritative for this CVE, this summary is not.
CVSS 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
- None
- Scope
- Unchanged
- Confidentiality
- Low
- Integrity
- Low
- Availability
- Low
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L
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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Identify CosyVoice installationSearch for CosyVoice in your Python environment using 'pip show cosyvoice' or check for the 'cosyvoice' package directoryAffected if CosyVoice is installed and contains the make_parquet_list.py tool
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Locate make_parquet_list.pyFind the file make_parquet_list.py within the CosyVoice package, typically in the cosyvoice/utils or cosyvoice directoryAffected if The file exists in your CosyVoice installation
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Inspect torch.load() calls for weights_only parameterOpen make_parsearch.py and grep for 'torch.load(' to find all calls, then verify each call includes weights_only=TrueAffected if Any torch.load() call is found without the weights_only=True parameter
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Verify .pt file processingCheck if the tool loads .pt files (utterance embeddings, speaker embeddings, speech tokens) from external or untrusted sourcesAffected if The tool processes .pt files without validation, particularly from external inputs
Your environment is affected if make_parquet_list.py contains torch.load() calls without the weights_only=True parameter and processes external .pt 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.
From vendor dataAdd weights_only=True to all torch.load() calls in make_parquet_list.py, or migrate to safer loading methods that don't permit arbitrary object deserialization.
- Consultation2.0 h
- Implementation1.0 h
- Testing2.0 h
- Review / QA1.0 h
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Free · runs locallyCheck whether your project pulls in CVE-2026-31249 — 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-2026-31249 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
- No weaponised exploit code, or anything meant to cause harm
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