CVE-2020-5215

Advisory

Tensorflow-rocm versions 1.15.2 and 2.0.1 includes a fix for CVE-2020-5215: In TensorFlow before 1.15.2 and 2.0.1, converting a string (from Python) to a tf.float16 value results in a segmentation fault in eager mode as the format checks for this use case are only in the graph mode. This issue can lead to denial of service in inference/training where a malicious attacker can send a data point which contains a string instead of a tf.float16 value. Similar effects can be obtained by manipulating saved models and checkpoints whereby replacing a scalar tf.float16 value with a scalar string will trigger this issue due to automatic conversions. This can be easily reproduced by tf.constant("hello", tf.float16), if eager execution is enabled.

Affected package

Affected versions

Fixed versions

Vulnerability changelog

This vulnerability has no description

Resources

• https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-5215
• https://github.com/tensorflow/tensorflow/commit/5ac1b9e24ff6afc465756edf845d2e9660bd34bf
• https://github.com/tensorflow/tensorflow/releases/tag/v1.15.2
• https://github.com/tensorflow/tensorflow/releases/tag/v2.0.1
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-977j-xj7q-2jr9