CVE-2026-34445
HIGH
8,6
Source: [email protected]
Attack Vector: network
Attack Complexity: low
Privileges Required: none
User Interaction: none
Scope: unchanged
Confidentiality: low
Integrity: low
Availability: high
Description
AI Translation Available
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.
20
Improper Input Validation
StableCommon Consequences
Security Scopes Affected:
Availability
Confidentiality
Integrity
Potential Impacts:
Dos: Crash, Exit, Or Restart
Dos: Resource Consumption (Cpu)
Dos: Resource Consumption (Memory)
Read Memory
Read Files Or Directories
Modify Memory
Execute Unauthorized Code Or Commands
Applicable Platforms
All platforms may be affected
400
Uncontrolled Resource Consumption
DraftCommon Consequences
Security Scopes Affected:
Availability
Access Control
Other
Potential Impacts:
Dos: Crash, Exit, Or Restart
Dos: Resource Consumption (Cpu)
Dos: Resource Consumption (Memory)
Dos: Resource Consumption (Other)
Bypass Protection Mechanism
Other
Applicable Platforms
All platforms may be affected
915
Improperly Controlled Modification of Dynamically-Determined Object Attributes
IncompleteCommon Consequences
Security Scopes Affected:
Integrity
Other
Potential Impacts:
Modify Application Data
Execute Unauthorized Code Or Commands
Varies By Context
Alter Execution Logic
Applicable Platforms
Languages:
ASP.NET, Not Language-Specific, PHP, Python, Ruby
https://github.com/onnx/onnx/commit/e30c6935d67cc3eca2fa284e37248e7c0036c46b
https://github.com/onnx/onnx/pull/7751
https://github.com/onnx/onnx/security/advisories/GHSA-538c-55jv-c5g9