Medium severity · published Feb 3, 2022
CVE-2022-21733
Tensorflow is an Open Source Machine Learning Framework
6.5
CVSS
0.8%
EPSS
No
On KEV
Description
Tensorflow is an Open Source Machine Learning Framework. The implementation of `StringNGrams` can be used to trigger a denial of service attack by causing an out of memory condition after an integer overflow. We are missing a validation on `pad_witdh` and that result in computing a negative value for `ngram_width` which is later used to allocate parts of the output. 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 vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Attack vector
Network
Complexity
Low
Privileges
Low
User interaction
None
Confidentiality
None
Integrity
None
Availability
High
Scope
Unchanged
Exploitation
Is it being used?
Exploit prediction (EPSS)0.8% · higher than 57% of CVEs
Exploited in the wildNo evidence yet
CISA KEVNot listed
Ransomware campaign useNot known
Affected products
Which versions
TE
Tensorflow · Google
through 2.5.2; 2.6.0 through 2.6.2; 2.7.0 · source: NVD
References
NVD
https://nvd.nist.gov/vuln/detail/CVE-2022-21733
CVE.org
https://www.cve.org/CVERecord?id=CVE-2022-21733
Exploit
https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/string_ngrams_op.cc#L29-L161
Patch
https://github.com/tensorflow/tensorflow/commit/f68fdab93fb7f4ddb4eb438c8fe052753c9413e8
Patch
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-98j8-c9q4-r38g
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