CVE-2022-21733
Memory exhaustion in Tensorflow
Vexday Risk Score
13Low
SSVC decision (CISA)
Track
No exploitation signal → monitor
CVSS 4.3EPSS 0.8%KEV nãoPoC —Nuclei —Metasploit —Patch —
Lifecycle
03 Feb 2022Published on NVD
Recommendation: Monitor — no exploitation signal at the moment.
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:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L
Affected products
n/a · n/aWant to know if your infrastructure is exposed to this?
Talk to TrueHacking →References
https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/string_ngrams_op.cc#L29-L161https://github.com/tensorflow/tensorflow/commit/f68fdab93fb7f4ddb4eb438c8fe052753c9413e8https://github.com/tensorflow/tensorflow/security/advisories/GHSA-98j8-c9q4-r38g