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

Source: https://junglewise.ai/threats/cve-2026-31232-funaudiollm-cosyvoice-insecure-deserialization-in-model-loading  
Publisher: Junglewise Threat Intelligence, https://junglewise.ai/threats  
Published: 2026-05-12. Updated: 2026-05-14  
License: CC BY 4.0 with a link back

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](https://junglewise.ai/threats/technologies/cosyvoice). Vendors: [FunAudioLLM](https://junglewise.ai/threats/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

- [https://github.com/FunAudioLLM/CosyVoice](https://github.com/FunAudioLLM/CosyVoice)
- [https://www.notion.so/CVE-2026-31232-35d1e1393188817f869cdcfce13402a8](https://www.notion.so/CVE-2026-31232-35d1e1393188817f869cdcfce13402a8)

## Related threats

- [FunAudioLLM CosyVoice insecure deserialization in model loading](https://junglewise.ai/threats/cve-2026-31252-funaudiollm-cosyvoice-insecure-deserialization-in-model-loading)
- [FunAudioLLM CosyVoice insecure deserialization in gRPC server](https://junglewise.ai/threats/cve-2026-31251-funaudiollm-cosyvoice-insecure-deserialization-in-grpc-server)
- [FunAudioLLM CosyVoice insecure deserialization in average_model.py](https://junglewise.ai/threats/cve-2026-31250-funaudiollm-cosyvoice-insecure-deserialization-in-average-model)
- [FunAudioLLM CosyVoice insecure deserialization in make_parquet_list.py](https://junglewise.ai/threats/cve-2026-31249-funaudiollm-cosyvoice-insecure-deserialization-in-make-parquet)