Memory leak in Tensorflow
In Tensorflow before versions 2.2.1 and 2.3.1, if a user passes a list of strings to `dlpack.to_dlpack` there is a memory leak following an expected validation failure. The issue occurs because the `status` argument during validation failures is not properly checked. Since each of the above methods can return an error status, the `status` value must be checked before continuing. The issue is patched in commit 22e07fb204386768e5bcbea563641ea11f96ceb8 and is released in TensorFlow versions 2.2.1, or 2.3.1.
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describes (1)
Related CVEs.
| ID | severity | exploitable | ||
|---|---|---|---|---|
| CVE-2020-15192US | medium4.3 | — | ||
In Tensorflow before versions 2.2.1 and 2.3.1, if a user passes a list of strings to `dlpack.to_dlpack` there is a memory leak following an expected validation failure. The issue o… | ||||
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references
External citations — patches, advisories, analysis.
- http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.htmlADVISORY
- https://github.com/tensorflow/tensorflow/commit/22e07fb204386768e5bcbea563641ea11f96ceb8ADVISORY
- https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1ADVISORY
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8fxw-76px-3rxvADVISORY
- https://nvd.nist.gov/vuln/detail/CVE-2020-15192WEB
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