We use cookies to improve your experience on our site.
AVID-2026-R1035
Description
Core dump when loading TFLite models with quantization in TensorFlow (CVE-2022-29212)
Details
TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, certain TFLite models that were created using TFLite model converter would crash when loaded in the TFLite interpreter. The culprit is that during quantization the scale of values could be greater than 1 but code was always assuming sub-unit scaling. Thus, since code was calling QuantizeMultiplierSmallerThanOneExp, the TFLITE_CHECK_LT assertion would trigger and abort the process. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.
Reason for inclusion in AVID: CVE-2022-29212 describes a core dump (availability impact) when loading TFLite models with quantization in TensorFlow, before patches were released. It is a software vulnerability in a widely used AI framework that directly affects AI model loading and execution, thus impacting general-purpose AI system stacks. The affected components are TensorFlow/TFLite runtime, a core dependency in AI pipelines, serving, and deployment. Evidence includes CVE details, affected versions, and references to fixes. Therefore it satisfies AI-related, GP AI supply chain, and security criteria with sufficient evidence.
References
- NVD entry
- https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4
- https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2
- https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1
- https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8wwm-6264-x792
- https://github.com/tensorflow/tensorflow/issues/43661
- https://github.com/tensorflow/tensorflow/commit/a989426ee1346693cc015792f11d715f6944f2b8
- https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/lite/kernels/internal/quantization_util.cc#L114-L123
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:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H |
| Base Score | 5.5 |
| Base Severity | 🟠 Medium |
| Attack Vector | LOCAL |
| Attack Complexity | 🟢 Low |
| Privileges Required | 🟢 Low |
| User Interaction | NONE |
| Scope | UNCHANGED |
| Confidentiality Impact | NONE |
| Integrity Impact | NONE |
| Availability Impact | 🔴 High |
CWE
| ID | Description |
|---|---|
| CWE-20 | CWE-20: Improper Input Validation |
Other information
- Report Type: Advisory
- Credits:
- Date Reported: 2022-05-20
- Version: 0.3.3
- AVID Entry