gemelo-ai Vocos up to 0.1.0 Class Instantiation vocos/pretrained.py instantiate_class class_path code injection

Summaryinfo

A vulnerability labeled as critical has been found in gemelo-ai Vocos up to 0.1.0. The affected element is the function instantiate_class of the file vocos/pretrained.py of the component Class Instantiation. Executing a manipulation of the argument class_path can lead to code injection. The identification of this vulnerability is CVE-2026-79784. The attack may be launched remotely. There is no exploit available.

Detailsinfo

A vulnerability has been found in gemelo-ai Vocos up to 0.1.0 and classified as critical. This vulnerability affects the function instantiate_class of the file vocos/pretrained.py of the component Class Instantiation. The manipulation of the argument class_path with an unknown input leads to a code injection vulnerability. The CWE definition for the vulnerability is CWE-94. The product constructs all or part of a code segment using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the syntax or behavior of the intended code segment. As an impact it is known to affect confidentiality, integrity, and availability. CVE summarizes:

Vocos instantiates a class named by a configuration file without restricting which class may be named. instantiate_class in vocos/pretrained.py takes the class_path value from the configuration, splits it into a module and an attribute, imports the module with __import__, resolves the attribute with getattr, and calls the result as args_class(*args, **kwargs) where kwargs is the config's own init_args mapping. No allowlist constrains the dotted path, so a configuration may name any importable callable and supply the arguments it is called with. Vocos.from_hparams reaches this for each of the feature_extractor, backbone and head entries, and Vocos.from_pretrained reaches it with a remote file: it downloads config.yaml from a caller-named Hugging Face repository and passes it straight to from_hparams. Loading a model from a repository the user does not control therefore executes code of the repository owner's choosing in the loading process. The neighbouring torch.load of the downloaded weights is a separate matter and is constrained on PyTorch releases that default weights_only to true, which leaves this path as the reachable one.

The advisory is shared for download at github.com. This vulnerability was named CVE-2026-79784 since 08/25/2026. The exploitation appears to be easy. The attack can be initiated remotely. No form of authentication is required for a successful exploitation. Successful exploitation requires user interaction by the victim. There are known technical details, but no exploit is available. The current price for an exploit might be approx. USD $0-$5k (estimation calculated on 08/25/2026). The MITRE ATT&CK project declares the attack technique as T1059.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

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Productinfo

Type

• Artificial Intelligence Software

Vendor

• gemelo-ai

Name

• Vocos

Version

• 0.1.0

CPE 2.3info

• 🔒

CPE 2.2info

• 🔒

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