CVE-2026-90777

ESPnet before 202609 deserializes pretrained model checkpoints using torch.load with weights_only=False, allowing arbitrary code execution from attacker-supplied files. Attackers can craft malicious checkpoint files that execute code during deserialization when loaded through the initialization or fine-tuning path.

CVSS v3 8.8 HIGH

8.8^/10

CVSS v3 : HIGH

Vector :

Exploitability : 2.8 / Impact : 5.9

Attack Vector NETWORK

Attack Complexity LOW

Privileges Required NONE

User Interaction REQUIRED

Confidentiality Impact HIGH

Integrity Impact HIGH

Availability Impact HIGH

Scope UNCHANGED

References

Link	Resource
https://github.com/espnet/espnet
https://github.com/espnet/espnet/blob/v.202511/espnet2/torch_utils/load_pretrained_model.py#L99
https://github.com/espnet/espnet/commit/91ca045fc179f29bc7b7fe05cd852aea65310003
https://github.com/espnet/espnet/releases/tag/v.202609
https://github.com/espnet/espnet/security/advisories/GHSA-64f6-3gqc-r926
https://www.vulncheck.com/advisories/espnet-before-202609-remote-code-execution-via-unsafe-deserialization
https://github.com/espnet/espnet/security/advisories/GHSA-64f6-3gqc-r926

Configurations

No configuration.

History

No history.

Information

Published : 2026-09-13 12:17

Updated : 2026-09-14 18:20

NVD link : CVE-2026-90777

Mitre link : CVE-2026-90777

CVE.ORG link : CVE-2026-90777

JSON object : View

Products Affected

No product.

CWE

CWE-502

Deserialization of Untrusted Data

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