Количество 6
Количество 6
CVE-2026-34445
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.
CVE-2026-34445
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.
CVE-2026-34445
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.
CVE-2026-34445
ONNX: Malicious ONNX models can crash servers by exploiting unprotected object settings.
CVE-2026-34445
Open Neural Network Exchange (ONNX) is an open standard for machine le ...
GHSA-538c-55jv-c5g9
ONNX: Malicious ONNX models can crash servers by exploiting unprotected object settings.
Уязвимостей на страницу
Уязвимость | CVSS | EPSS | Опубликовано | |
|---|---|---|---|---|
 | CVE-2026-34445 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. | CVSS3: 8.6 | 0% Низкий | 4 месяца назад |
 | CVE-2026-34445 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. | CVSS3: 7.3 | 0% Низкий | 4 месяца назад |
 | CVE-2026-34445 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. | CVSS3: 8.6 | 0% Низкий | 4 месяца назад |
 | CVE-2026-34445 ONNX: Malicious ONNX models can crash servers by exploiting unprotected object settings. | CVSS3: 8.6 | 0% Низкий | 4 месяца назад |
| CVE-2026-34445 Open Neural Network Exchange (ONNX) is an open standard for machine le ... | CVSS3: 8.6 | 0% Низкий | 4 месяца назад |
| GHSA-538c-55jv-c5g9 ONNX: Malicious ONNX models can crash servers by exploiting unprotected object settings. | CVSS3: 8.6 | 0% Низкий | 4 месяца назад |
Уязвимостей на страницу