{"id":"CVE-2020-15193","state":"PUBLISHED","title":"Memory corruption in Tensorflow","description":"In Tensorflow before versions 2.2.1 and 2.3.1, the implementation of `dlpack.to_dlpack` can be made to use uninitialized memory resulting in further memory corruption. This is because the pybind11 glue code assumes that the argument is a tensor. However, there is nothing stopping users from passing in a Python object instead of a tensor. The uninitialized memory address is due to a `reinterpret_cast` Since the `PyObject` is a Python object, not a TensorFlow Tensor, the cast to `EagerTensor` fails. The issue is patched in commit 22e07fb204386768e5bcbea563641ea11f96ceb8 and is released in TensorFlow versions 2.2.1, or 2.3.1.","publishedAt":"2020-09-25T18:40:51.000Z","updatedAt":"2024-08-04T13:08:22.677Z","severity":{"score":7.1,"label":"High","version":"3.1","vector":"CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:L","source":"GitHub_M"},"assigner":"GitHub_M","products":["tensorflow tensorflow"],"affected":[{"vendor":"tensorflow","product":"tensorflow","versions":[{"version":"= 2.2.0","status":"affected"},{"version":"= 2.3.0","status":"affected"}]}],"references":["https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1","https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rjjg-hgv6-h69v","https://github.com/tensorflow/tensorflow/commit/22e07fb204386768e5bcbea563641ea11f96ceb8","http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.html"],"weaknesses":["CWE-908"],"ingestedAt":"2026-10-29T19:46:36.523Z","source":{"repository":"CVEProject/cvelistV5","path":"cves/2020/15xxx/CVE-2020-15193.json","commit":"556c9d3a8cd17e218bb8e452ba7cd619a384ff47"},"raw":{"dataType":"CVE_RECORD","dataVersion":"5.1","cveMetadata":{"cveId":"CVE-2020-15193","state":"PUBLISHED","datePublished":"2020-09-25T18:40:51.000Z","dateUpdated":"2024-08-04T13:08:22.677Z","assignerShortName":"GitHub_M","assignerOrgId":"a0819718-46f1-4df5-94e2-005712e83aaa","dateReserved":"2020-06-25T00:00:00.000Z"},"containers":{"cna":{"title":"Memory corruption in Tensorflow","descriptions":[{"lang":"en","value":"In Tensorflow before versions 2.2.1 and 2.3.1, the implementation of `dlpack.to_dlpack` can be made to use uninitialized memory resulting in further memory corruption. 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