Vulnerability Details CVE-2021-29549
TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a runtime division by zero error and denial of service in `tf.raw_ops.QuantizedBatchNormWithGlobalNormalization`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/6f26b3f3418201479c264f2a02000880d8df151c/tensorflow/core/kernels/quantized_add_op.cc#L289-L295) computes a modulo operation without validating that the divisor is not zero. Since `vector_num_elements` is determined based on input shapes(https://github.com/tensorflow/tensorflow/blob/6f26b3f3418201479c264f2a02000880d8df151c/tensorflow/core/kernels/quantized_add_op.cc#L522-L544), a user can trigger scenarios where this quantity is 0. 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/744009c9e5cc5d0447f0dc39d055f917e1fd9e16
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-x83m-p7pv-ch8v
- https://github.com/tensorflow/tensorflow/commit/744009c9e5cc5d0447f0dc39d055f917e1fd9e16
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-x83m-p7pv-ch8v
Products affected by CVE-2021-29549
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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