CVE-2021-29549

Severity CVSS v4.0:
Pending analysis
Type:
CWE-369 Divide By Zero
Publication date:
14/05/2021
Last modified:
27/07/2021

Description

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.

Vulnerable products and versions

CPE From Up to
cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* 2.1.4 (excluding)
cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* 2.2.0 (including) 2.2.3 (excluding)
cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* 2.3.0 (including) 2.3.3 (excluding)
cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* 2.4.0 (including) 2.4.2 (excluding)