CVEvulnerability
CVE-2022-23557
6.5 MEDIUM
Official page ↗
- Status
- Modified
- Published
- 2022-02-04
- Last modified
- 2026-06-17
- Assigner
- [email protected]
- CVSS 3.1 ([email protected])
- 6.5 MEDIUM — CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
- CVSS 3.1 ([email protected])
- 6.5 MEDIUM — CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
- CVSS 2.0 ([email protected])
- 4.0 MEDIUM — AV:N/AC:L/Au:S/C:N/I:N/A:P
- Weaknesses
- CWE-369
Description
Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would trigger a division by zero in `BiasAndClamp` implementation. There is no check that the `bias_size` is non zero. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Affected configurations
• google tensorflow (<= 2.5.2)
• google tensorflow (>= 2.6.0 <= 2.6.2)
• google tensorflow 2.7.0
Related
Weakness · CWE (1)
- CWE-369 Divide By Zero weakness
References
- https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/lite/kernels/internal/common.h#L75 Exploit, Third Party Advisory
- https://github.com/tensorflow/tensorflow/commit/8c6f391a2282684a25cbfec7687bd5d35261a209 Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-gf2j-f278-xh4v Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/lite/kernels/internal/common.h#L75 Exploit, Third Party Advisory
- https://github.com/tensorflow/tensorflow/commit/8c6f391a2282684a25cbfec7687bd5d35261a209 Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-gf2j-f278-xh4v Patch, Third Party Advisory