CVE-2021-29547

Severity CVSS v4.0:
Pending analysis
Type:
CWE-125 Out-of-bounds Read
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 segfault and denial of service via accessing data outside of bounds in `tf.raw_ops.QuantizedBatchNormWithGlobalNormalization`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/55a97caa9e99c7f37a0bbbeb414dc55553d3ae7f/tensorflow/core/kernels/quantized_batch_norm_op.cc#L176-L189) assumes the inputs are not empty. If any of these inputs is empty, `.flat()` is an empty buffer, so accessing the element at index 0 is accessing data outside of bounds. 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)