Out of bounds segmentation fault due to unequal op inputs in Tensorflow
13Vexday Risk Score
No sign of exploitation. No public exploitation artifact known so far.
ssvc Trackcvss 6.8epss 0.4%
exploitation probability
0.4%top 68% of all CVEs
observed exploitation
nono source reports it
TensorFlow is an open source platform for machine learning. When ops that have specified input sizes receive a differing number of inputs, the executor will crash. We have patched the issue in GitHub commit f5381e0e10b5a61344109c1b7c174c68110f7629. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:L/I:L/A:H
Affected products
tensorflow · tensorflowReferences
https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/dynamic_stitch_op.cchttps://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/ops/data_flow_ops.cchttps://github.com/tensorflow/tensorflow/commit/f5381e0e10b5a61344109c1b7c174c68110f7629https://github.com/tensorflow/tensorflow/security/advisories/GHSA-w58w-79xv-6vcj