Out of bounds read in Tensorflow
21Vexday Risk Score
No sign of exploitation. No public exploitation artifact known so far.
ssvc Trackcvss 8.1epss 0.8%
exploitation probability
0.8%top 45% of all CVEs
observed exploitation
nono source reports it
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/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H
Affected products
n/a · n/aReferences
https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/fractional_avg_pool_op.cc#L209-L360https://github.com/tensorflow/tensorflow/commit/002408c3696b173863228223d535f9de72a101a9https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vjg4-v33c-ggc4