In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the `tf.raw_ops.Switch` operation takes as input a tensor and a boolean and outputs two tensors. Depending on the boolean value, one of the tensors is exactly the input tensor whereas the other one should be an empty tensor. However, the eager runtime traverses all tensors in the output. Since only one of the tensors is defined, the other one is `nullptr`, hence we are binding a reference to `nullptr`. This is undefined behavior and reported as an error if compiling with `-fsanitize=null`. In this case, this results in a segmentation fault The issue is patched in commit da8558533d925694483d2c136a9220d6d49d843c, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.
References
Link | Resource |
---|---|
http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.html | Mailing List Third Party Advisory |
https://github.com/tensorflow/tensorflow/commit/da8558533d925694483d2c136a9220d6d49d843c | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1 | Third Party Advisory |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4g9f-63rx-5cw4 | Exploit Third Party Advisory |
History
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MITRE Information
Status: PUBLISHED
Assigner: GitHub_M
Published: 2020-09-25T18:35:13
Updated: 2020-10-29T15:06:15
Reserved: 2020-06-25T00:00:00
Link: CVE-2020-15190
JSON object: View
NVD Information
Status : Analyzed
Published: 2020-09-25T19:15:14.337
Modified: 2021-11-18T17:18:14.627
Link: CVE-2020-15190
JSON object: View
Redhat Information
No data.