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.
Impact
Base Score 3.x
5.50
Severity 3.x
MEDIUM
Base Score 2.0
2.10
Severity 2.0
LOW
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) |
To consult the complete list of CPE names with products and versions, see this page