CVE-2022-21730
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.
Does this matter?
High impact if exploited, but EPSS currently rates exploitation as unlikely (0.82%). Schedule it in the normal patch cycle and watch for a rise in EPSS or a public exploit.
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.
- CVSS 3.1
- 8.1 HIGHCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H
- EPSS
- 0.82% probability · 55th percentile
- CISA KEV
- Not listed
- Weakness
- CWE-125
- Affected
- google/tensorflow
- Source
- security-advisories@github.com
References
- https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/fractional_avg_pool_op.cc#L209-L360Exploit, Third Party Advisory
- https://github.com/tensorflow/tensorflow/commit/002408c3696b173863228223d535f9de72a101a9Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vjg4-v33c-ggc4Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/fractional_avg_pool_op.cc#L209-L360Exploit, Third Party Advisory
- https://github.com/tensorflow/tensorflow/commit/002408c3696b173863228223d535f9de72a101a9Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vjg4-v33c-ggc4Patch, Third Party Advisory
Source: NVD record, EPSS from FIRST.org, KEV from CISA. Refreshed daily.