Описание
InvokeAI Deserialization of Untrusted Data vulnerability
A remote code execution vulnerability exists in invoke-ai/invokeai versions 5.3.1 through 5.4.2 via the /api/v2/models/install API. The vulnerability arises from unsafe deserialization of model files using torch.load without proper validation. Attackers can exploit this by embedding malicious code in model files, which is executed upon loading. This issue is fixed in version 5.4.3rc2.
Ссылки
- https://nvd.nist.gov/vuln/detail/CVE-2024-12029
- https://github.com/invoke-ai/InvokeAI/commit/ed46acee79460189b38c164321b14bdfbf3073c9
- https://github.com/invoke-ai/invokeai/commit/756008dc5899081c5aa51e5bd8f24c1b3975a59e
- https://github.com/pypa/advisory-database/tree/main/vulns/invokeai/PYSEC-2025-9.yaml
- https://huntr.com/bounties/9b790f94-1b1b-4071-bc27-78445d1a87a3
Пакеты
InvokeAI
>= 5.3.1, < 5.4.3rc2
5.4.3rc2
Связанные уязвимости
A remote code execution vulnerability exists in invoke-ai/invokeai versions 5.3.1 through 5.4.2 via the /api/v2/models/install API. The vulnerability arises from unsafe deserialization of model files using torch.load without proper validation. Attackers can exploit this by embedding malicious code in model files, which is executed upon loading. This issue is fixed in version 5.4.3.