{"id":"CVE-2020-15192","aliases":["GHSA-8fxw-76px-3rxv","BIT-tensorflow-2020-15192","PYSEC-2020-115","PYSEC-2020-272","PYSEC-2020-307"],"title":"Memory leak in Tensorflow","summary":"Memory leak in Tensorflow","severity":"medium","cvss":4.3,"cvssVector":"CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L","vendor":"tensorflow","product":"tensorflow","ecosystem":"pip","affected":["tensorflow >= 2.2.0, < 2.2.1","tensorflow >= 2.3.0, < 2.3.1","tensorflow-cpu >= 2.2.0, < 2.2.1","tensorflow-cpu >= 2.3.0, < 2.3.1","tensorflow-gpu >= 2.2.0, < 2.2.1","tensorflow-gpu >= 2.3.0, < 2.3.1"],"patched":["tensorflow 2.2.1","tensorflow 2.3.1","tensorflow-cpu 2.2.1","tensorflow-cpu 2.3.1","tensorflow-gpu 2.2.1","tensorflow-gpu 2.3.1"],"published":"2020-09-25","updated":"2026-07-08","source":"OSV","sourceUrl":"https://osv.dev/vulnerability/GHSA-8fxw-76px-3rxv","references":[{"url":"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8fxw-76px-3rxv"},{"url":"https://nvd.nist.gov/vuln/detail/CVE-2020-15192"},{"url":"https://github.com/tensorflow/tensorflow/commit/22e07fb204386768e5bcbea563641ea11f96ceb8"},{"url":"https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2020-272.yaml"},{"url":"https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2020-307.yaml"},{"url":"https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2020-115.yaml"},{"url":"https://github.com/tensorflow/tensorflow"},{"url":"https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1"},{"url":"http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.html"}],"tags":["osv","pip"],"epss":0.00834,"epssPercentile":0.5613,"ingestedAt":"2026-07-08T18:25:47.477Z","slug":"CVE-2020-15192","body":"## Overview\n\n### Impact\nIf a user passes a list of strings to `dlpack.to_dlpack` there is a memory leak following an expected validation failure:\nhttps://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/c/eager/dlpack.cc#L100-L104\n\nThe allocated memory is from\nhttps://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/c/eager/dlpack.cc#L256\n\nThe issue occurs because the `status` argument during validation failures is not properly checked:\nhttps://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/c/eager/dlpack.cc#L265-L267\n\nSince each of the above methods can return an error status, the `status` value must be checked before continuing.\n\n### Patches\nWe have patched the issue in 22e07fb204386768e5bcbea563641ea11f96ceb8 and will release a patch release for all affected versions.\n\nWe recommend users to upgrade to TensorFlow 2.2.1 or 2.3.1.\n\n### For more information\nPlease consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.\n\n### Attribution\nThis vulnerability has been discovered during variant analysis of [GHSA-rjjg-hgv6-h69v](https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rjjg-hgv6-h69v).\n\n## Affected packages\n\n- `tensorflow >= 2.2.0, < 2.2.1`\n- `tensorflow >= 2.3.0, < 2.3.1`\n- `tensorflow-cpu >= 2.2.0, < 2.2.1`\n- `tensorflow-cpu >= 2.3.0, < 2.3.1`\n- `tensorflow-gpu >= 2.2.0, < 2.2.1`\n- `tensorflow-gpu >= 2.3.0, < 2.3.1`\n\n## Remediation\n\nUpgrade to a patched release:\n\n- `tensorflow 2.2.1`\n- `tensorflow 2.3.1`\n- `tensorflow-cpu 2.2.1`\n- `tensorflow-cpu 2.3.1`\n- `tensorflow-gpu 2.2.1`\n- `tensorflow-gpu 2.3.1`","depth":"sunlit","depthScore":24,"depthScoreParts":{"impact":23.7,"likelihood":0.2,"exploitation":0,"ransomware":0},"changes":[]}