Vulnerability Details CVE-2022-35985
TensorFlow is an open source platform for machine learning. If `LRNGrad` is given an `output_image` input tensor that is not 4-D, 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 bd90b3efab4ec958b228cd7cfe9125be1c0cf255. 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.
Exploit prediction scoring system (EPSS) score
EPSS Score 0.002
EPSS Ranking 42.7%
CVSS Severity
CVSS v3 Score 5.9
References
- https://github.com/tensorflow/tensorflow/commit/bd90b3efab4ec958b228cd7cfe9125be1c0cf255
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9942-r22v-78cp
- https://github.com/tensorflow/tensorflow/commit/bd90b3efab4ec958b228cd7cfe9125be1c0cf255
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9942-r22v-78cp
Products affected by CVE-2022-35985
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cpe:2.3:a:google:tensorflow:-
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cpe:2.3:a:google:tensorflow:0.1.7
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cpe:2.3:a:google:tensorflow:0.10.0
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cpe:2.3:a:google:tensorflow:0.11.0
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cpe:2.3:a:google:tensorflow:0.12.0
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cpe:2.3:a:google:tensorflow:0.12.1
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cpe:2.3:a:google:tensorflow:0.5.0
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cpe:2.3:a:google:tensorflow:0.6.0
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cpe:2.3:a:google:tensorflow:0.7.0
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cpe:2.3:a:google:tensorflow:0.7.1
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cpe:2.3:a:google:tensorflow:0.8.0
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cpe:2.3:a:google:tensorflow:0.9.0
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cpe:2.3:a:google:tensorflow:1.0.0
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cpe:2.3:a:google:tensorflow:1.0.1
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cpe:2.3:a:google:tensorflow:1.1.0
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cpe:2.3:a:google:tensorflow:1.10.0
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cpe:2.3:a:google:tensorflow:1.10.1
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cpe:2.3:a:google:tensorflow:1.11.0
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cpe:2.3:a:google:tensorflow:1.12.0
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cpe:2.3:a:google:tensorflow:1.12.1
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cpe:2.3:a:google:tensorflow:1.12.2
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cpe:2.3:a:google:tensorflow:1.12.3
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cpe:2.3:a:google:tensorflow:1.13.0
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cpe:2.3:a:google:tensorflow:1.13.1
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cpe:2.3:a:google:tensorflow:1.13.2
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cpe:2.3:a:google:tensorflow:1.14.0
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cpe:2.3:a:google:tensorflow:1.15.0
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cpe:2.3:a:google:tensorflow:1.15.2
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cpe:2.3:a:google:tensorflow:1.15.3
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cpe:2.3:a:google:tensorflow:1.15.4
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cpe:2.3:a:google:tensorflow:1.15.5
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cpe:2.3:a:google:tensorflow:1.2.0
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cpe:2.3:a:google:tensorflow:1.2.1
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cpe:2.3:a:google:tensorflow:1.3.0
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cpe:2.3:a:google:tensorflow:1.3.1
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cpe:2.3:a:google:tensorflow:1.4.0
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cpe:2.3:a:google:tensorflow:1.4.1
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cpe:2.3:a:google:tensorflow:1.5.0
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cpe:2.3:a:google:tensorflow:1.5.1
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cpe:2.3:a:google:tensorflow:1.6.0
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cpe:2.3:a:google:tensorflow:1.7.0
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cpe:2.3:a:google:tensorflow:1.7.1
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cpe:2.3:a:google:tensorflow:1.8.0
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cpe:2.3:a:google:tensorflow:1.9.0
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cpe:2.3:a:google:tensorflow:2.0.0
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cpe:2.3:a:google:tensorflow:2.0.1
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cpe:2.3:a:google:tensorflow:2.0.2
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cpe:2.3:a:google:tensorflow:2.0.3
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cpe:2.3:a:google:tensorflow:2.0.4
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cpe:2.3:a:google:tensorflow:2.1.0
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cpe:2.3:a:google:tensorflow:2.1.1
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cpe:2.3:a:google:tensorflow:2.1.2
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cpe:2.3:a:google:tensorflow:2.1.3
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cpe:2.3:a:google:tensorflow:2.1.4
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cpe:2.3:a:google:tensorflow:2.10
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cpe:2.3:a:google:tensorflow:2.2.0
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cpe:2.3:a:google:tensorflow:2.2.1
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cpe:2.3:a:google:tensorflow:2.2.2
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cpe:2.3:a:google:tensorflow:2.2.3
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cpe:2.3:a:google:tensorflow:2.3.0
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cpe:2.3:a:google:tensorflow:2.3.1
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cpe:2.3:a:google:tensorflow:2.3.2
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cpe:2.3:a:google:tensorflow:2.3.3
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cpe:2.3:a:google:tensorflow:2.3.4
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cpe:2.3:a:google:tensorflow:2.4.0
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cpe:2.3:a:google:tensorflow:2.4.1
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cpe:2.3:a:google:tensorflow:2.4.2
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cpe:2.3:a:google:tensorflow:2.4.3
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cpe:2.3:a:google:tensorflow:2.4.4
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cpe:2.3:a:google:tensorflow:2.5.0
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cpe:2.3:a:google:tensorflow:2.5.1
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cpe:2.3:a:google:tensorflow:2.5.2
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cpe:2.3:a:google:tensorflow:2.6.0
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cpe:2.3:a:google:tensorflow:2.6.1
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cpe:2.3:a:google:tensorflow:2.6.2
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cpe:2.3:a:google:tensorflow:2.6.3
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cpe:2.3:a:google:tensorflow:2.6.4
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cpe:2.3:a:google:tensorflow:2.6.5
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cpe:2.3:a:google:tensorflow:2.7.0
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cpe:2.3:a:google:tensorflow:2.7.1
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cpe:2.3:a:google:tensorflow:2.8.0
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cpe:2.3:a:google:tensorflow:2.9.0