Vulnerability Details CVE-2021-29522
TensorFlow is an end-to-end open source platform for machine learning. The `tf.raw_ops.Conv3DBackprop*` operations fail to validate that the input tensors are not empty. In turn, this would result in a division by 0. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/a91bb59769f19146d5a0c20060244378e878f140/tensorflow/core/kernels/conv_grad_ops_3d.cc#L430-L450) does not check that the divisor used in computing the shard size is not zero. Thus, if attacker controls the input sizes, they can trigger a denial of service via a division by zero error. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
Exploit prediction scoring system (EPSS) score
EPSS Score 0.0
EPSS Ranking 1.8%
CVSS Severity
CVSS v3 Score 2.5
CVSS v2 Score 2.1
References
- https://github.com/tensorflow/tensorflow/commit/311403edbc9816df80274bd1ea8b3c0c0f22c3fa
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-c968-pq7h-7fxv
- https://github.com/tensorflow/tensorflow/commit/311403edbc9816df80274bd1ea8b3c0c0f22c3fa
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-c968-pq7h-7fxv
Products affected by CVE-2021-29522
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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:2.2.0
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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:2.3.0
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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:2.4.0
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cpe:2.3:a:google:tensorflow:2.4.1