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AVID-2026-R1144
Description
Buffer overflow in CONV_3D_TRANSPOSE on TFLite (CVE-2022-41894)
Details
TensorFlow is an open source platform for machine learning. The reference kernel of the CONV_3D_TRANSPOSE TensorFlow Lite operator wrongly increments the data_ptr when adding the bias to the result. Instead of data_ptr += num_channels; it should be data_ptr += output_num_channels; as if the number of input channels is different than the number of output channels, the wrong result will be returned and a buffer overflow will occur if num_channels > output_num_channels. An attacker can craft a model with a specific number of input channels. It is then possible to write specific values through the bias of the layer outside the bounds of the buffer. This attack only works if the reference kernel resolver is used in the interpreter. We have patched the issue in GitHub commit 72c0bdcb25305b0b36842d746cc61d72658d2941. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
Reason for inclusion in AVID: The CVE-2022-41894 vulnerability is a buffer overflow in a TensorFlow Lite operator (CONV_3D_TRANSPOSE). It affects a widely used AI framework component and is exploitable via crafted models, with patched commits and CVSS signaling high impact. This directly concerns software used to build/deploy AI systems, i.e., AI frameworks/libraries, and represents a security vulnerability in a component that could be part of AI pipelines. Therefore it is relevant to the AI supply chain and should be curated.
References
- NVD entry
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-h6q3-vv32-2cq5
- https://github.com/tensorflow/tensorflow/commit/72c0bdcb25305b0b36842d746cc61d72658d2941
- https://github.com/tensorflow/tensorflow/blob/091e63f0ea33def7ecad661a5ac01dcafbafa90b/tensorflow/lite/kernels/internal/reference/conv3d_transpose.h#L121
Affected or Relevant Artifacts
- Developer: tensorflow
- Deployer: tensorflow
- Artifact Details:
| Type | Name |
|---|---|
| System | tensorflow |
Impact
AVID Taxonomy Categorization
- Risk domains: Security
- SEP subcategories: S0100: Software Vulnerability
- Lifecycle stages: L06: Deployment
CVSS
| Version | 3.1 |
| Vector String | CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:H/I:H/A:H |
| Base Score | 7.1 |
| Base Severity | 🔴 High |
| Attack Vector | NETWORK |
| Attack Complexity | 🔴 High |
| Privileges Required | 🟢 Low |
| User Interaction | REQUIRED |
| Scope | UNCHANGED |
| Confidentiality Impact | 🔴 High |
| Integrity Impact | 🔴 High |
| Availability Impact | 🔴 High |
CWE
| ID | Description |
|---|---|
| CWE-120 | CWE-120: Buffer Copy without Checking Size of Input (‘Classic Buffer Overflow’) |
Other information
- Report Type: Advisory
- Credits:
- Date Reported: 2022-11-18
- Version: 0.3.3
- AVID Entry