Is CVE-2026-31232 exploited in the wild?

No. Junglewise Threat Intelligence has no report of CVE-2026-31232 being exploited in the wild.

How severe is CVE-2026-31232?

Informational severity, published 12 May 2026.

Which products and versions are affected?

FunAudioLLM CosyVoice thru commit 6e01309e01bc93bbeb83bdd996b1182a81aaf11e.

Is there a fix for CVE-2026-31232?

No fixed version is recorded yet. Check the vendor's advisory in the references below. If you run it, Junglewise drafts a mitigation that fits your setup and applies it once you approve, with senior security engineers behind it.

How is CVE-2026-31232 attacked?

It is attacked with local access or over the network, in a software library.

Am I affected by CVE-2026-31232?

Check whether you run FunAudioLLM CosyVoice at an affected version. Junglewise does that check for you around the clock: connect your code, cloud and domains, and it matches new vulnerabilities like this one against what you actually run and tells you when one reaches you.

CVE-2026-31232: FunAudioLLM CosyVoice insecure deserialization in model loading

CVE-2026-31232 · Severity: info · Published 2026-05-12

CosyVoice, a large-scale voice generation and AI model platform, is vulnerable to a security flaw in how it handles model files. If a user is tricked into loading a malicious AI model file from a specific directory, an attacker can execute arbitrary commands on the underlying system. This could lead to a total compromise of the server, theft of sensitive data, or unauthorized access to the organization's infrastructure.

Technologies: FunAudioLLM CosyVoice. Vendors: FunAudioLLM.

Quick answers

Is CVE-2026-31232 exploited in the wild?: No. Junglewise Threat Intelligence has no report of CVE-2026-31232 being exploited in the wild.
How severe is CVE-2026-31232?: Informational severity, published 12 May 2026.
Which products and versions are affected?: FunAudioLLM CosyVoice thru commit 6e01309e01bc93bbeb83bdd996b1182a81aaf11e.
Is there a fix for CVE-2026-31232?: No fixed version is recorded yet. Check the vendor's advisory in the references below. If you run it, Junglewise drafts a mitigation that fits your setup and applies it once you approve, with senior security engineers behind it.
How is CVE-2026-31232 attacked?: It is attacked with local access or over the network, in a software library.
Am I affected by CVE-2026-31232?: Check whether you run FunAudioLLM CosyVoice at an affected version. Junglewise does that check for you around the clock: connect your code, cloud and domains, and it matches new vulnerabilities like this one against what you actually run and tells you when one reaches you.

Technical details

An insecure deserialization vulnerability (CWE-502) exists in CosyVoice through commit 6e01309. The vulnerability is located in the model loading process where the application utilizes the `torch.load()` function to process PyTorch model files (.pt). Because the function is called without the `weights_only=True` parameter, it defaults to using the Python Pickle module for deserialization. An attacker can craft a malicious model directory containing .pt files with embedded pickle payloads. When a user specifies this directory via the `--model_dir` argument or through the web interface, the payload is executed. This results in arbitrary code execution with the privileges of the user running the CosyVoice process.

Affected products

FunAudioLLM CosyVoice thru commit 6e01309e01bc93bbeb83bdd996b1182a81aaf11e

Timeline

2026-05-12: advisory: NVD publication date

References

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