CVE-2026-34445
HighSummary
W klasie ExternalDataInfo w Open Neural Network Exchange (ONNX) przed wersją 1.21.0 używano funkcji setattr() Pythona do ładowania metadanych bez weryfikacji poprawności kluczy w pliku modelu. To umożliwiało atakującemu stworzenie złośliwego modelu, który mógł nadpisywać wewnętrzne właściwości obiektów.
Risk Assessment
Organizacje mogą być narażone na ataki, które wykorzystują złośliwe modele do manipulacji danymi lub systemami, co może prowadzić do poważnych konsekwencji bezpieczeństwa.
Recommendation
Zaleca się aktualizację do wersji 1.21.0 lub nowszej, aby zabezpieczyć się przed tą podatnością oraz przeprowadzenie audytu używanych modeli ONNX.
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Original NVD description (English source)
Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. Prior to version 1.21.0, the ExternalDataInfo class in ONNX was using Python’s setattr() function to load metadata (like file paths or data lengths) directly from an ONNX model file. It didn’t check if the "keys" in the file were valid. Due to this, an attacker could craft a malicious model that overwrites internal object properties. This issue has been patched in version 1.21.0.
Vulnerability data from NVD (NIST) · CISA KEV · EPSS

