High severity · published Nov 18, 2022
CVE-2022-41887
TensorFlow is an open source platform for machine learning
7.5
CVSS
0.5%
EPSS
No
On KEV
Description
TensorFlow is an open source platform for machine learning. `tf.keras.losses.poisson` receives a `y_pred` and `y_true` that are passed through `functor::mul` in `BinaryOp`. If the resulting dimensions overflow an `int32`, TensorFlow will crash due to a size mismatch during broadcast assignment. We have patched the issue in GitHub commit c5b30379ba87cbe774b08ac50c1f6d36df4ebb7c. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1 and 2.9.3, as these are also affected and still in supported range. However, we will not cherrypick this commit into TensorFlow 2.8.x, as it depends on Eigen behavior that changed between 2.8 and 2.9.
CVSS vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Attack vector
Network
Complexity
Low
Privileges
None
User interaction
None
Confidentiality
None
Integrity
None
Availability
High
Scope
Unchanged
Exploitation
Is it being used?
Exploit prediction (EPSS)0.5% · higher than 42% of CVEs
Exploited in the wildNo evidence yet
CISA KEVNot listed
Ransomware campaign useNot known
Affected products
Which versions
TE
Tensorflow · Google
2.9.0 before 2.9.3; 2.10.0 · source: NVD
References
NVD
https://nvd.nist.gov/vuln/detail/CVE-2022-41887
CVE.org
https://www.cve.org/CVERecord?id=CVE-2022-41887
Third Party Advisory
https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/cwise_ops_common.h
Third Party Advisory
https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/keras/losses.py
Patch
https://github.com/tensorflow/tensorflow/commit/c5b30379ba87cbe774b08ac50c1f6d36df4ebb7c
Exploit
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8fvv-46hw-vpg3
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