CVEvulnerability
CVE-2022-21730
8.1 HIGH
Official page ↗
- Status
- Modified
- Published
- 2022-02-03
- Last modified
- 2026-06-17
- Assigner
- [email protected]
- CVSS 3.1 ([email protected])
- 8.1 HIGH — CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H
- CVSS 3.1 ([email protected])
- 8.1 HIGH — CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H
- CVSS 2.0 ([email protected])
- 5.5 MEDIUM — AV:N/AC:L/Au:S/C:P/I:N/A:P
- Weaknesses
- CWE-125
Description
Tensorflow is an Open Source Machine Learning Framework. The implementation of `FractionalAvgPoolGrad` does not consider cases where the input tensors are invalid allowing an attacker to read from outside of bounds of heap. 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-125 Out-of-bounds Read weakness
References
- https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/fractional_avg_pool_op.cc#L209-L360 Exploit, Third Party Advisory
- https://github.com/tensorflow/tensorflow/commit/002408c3696b173863228223d535f9de72a101a9 Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vjg4-v33c-ggc4 Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/fractional_avg_pool_op.cc#L209-L360 Exploit, Third Party Advisory
- https://github.com/tensorflow/tensorflow/commit/002408c3696b173863228223d535f9de72a101a9 Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vjg4-v33c-ggc4 Patch, Third Party Advisory