{"id":"CVE-2026-79784","title":"Vocos instantiates a class named by a configuration file without restricting which class may be named","summary":"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, …","severity":"high","cvss":8.8,"cvssVector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H","cwe":["CWE-470"],"vendor":"gemelo-ai","product":"vocos","affected":["vocos <= 0.1.0"],"published":"2026-08-25","updated":"2026-09-24","sourceUpdated":"2026-09-24T20:43:32.537","source":"NVD","sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2026-79784","references":[{"url":"https://github.com/gemelo-ai/vocos","label":"disclosure@vulncheck.com"},{"url":"https://github.com/gemelo-ai/vocos/blob/main/vocos/pretrained.py","label":"disclosure@vulncheck.com"},{"url":"https://github.com/gemelo-ai/vocos/issues/76","label":"disclosure@vulncheck.com"},{"url":"https://pypi.org/project/vocos/","label":"disclosure@vulncheck.com"},{"url":"https://www.vulncheck.com/advisories/vocos-through-arbitrary-code-execution-via-unrestricted-class-path-in-model-configuration","label":"disclosure@vulncheck.com"}],"tags":["nvd","cve.org"],"epss":0.00571,"epssPercentile":0.47075,"ssvc":{"exploitation":"none","automatable":"yes","technicalImpact":"total","timestamp":"2026-08-26T16:08:10.918674Z"},"ingestedAt":"2026-09-24T15:45:56.697Z","slug":"CVE-2026-79784","body":"## Overview\n\nVocos 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.\n\n## Remediation\n\nRefer to the linked advisories for vendor-supplied fixes and affected version ranges.","depth":"twilight","depthScore":49,"depthScoreParts":{"impact":48.4,"likelihood":0.1,"exploitation":0,"ransomware":0},"changes":[]}