High severity · published Sep 16, 2022
CVE-2022-36026
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. If `QuantizeAndDequantizeV3` is given a nonscalar `num_bits` input tensor, it results in a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit f3f9cb38ecfe5a8a703f2c4a8fead434ef291713. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
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 41% of CVEs
Exploited in the wildNo evidence yet
CISA KEVNot listed
Ransomware campaign useNot known
Affected products
Which versions
TE
Tensorflow · Google
before 2.7.2; 2.8.0 before 2.8.1; 2.9.0 before 2.9.1; 2.10; 2.10; 2.10; +1 more · source: NVD
References
NVD
https://nvd.nist.gov/vuln/detail/CVE-2022-36026
CVE.org
https://www.cve.org/CVERecord?id=CVE-2022-36026
Patch
https://github.com/tensorflow/tensorflow/commit/f3f9cb38ecfe5a8a703f2c4a8fead434ef291713
Third Party Advisory
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9cr2-8pwr-fhfq
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