Vulnerability Details : CVE-2020-15193

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.
Published 2020-09-25 19:15:15
Updated 2021-11-18 17:20:33
Source GitHub, Inc.
View at NVD,   CVE.org
Vulnerability category: Memory Corruption

Products affected by CVE-2020-15193

Exploit prediction scoring system (EPSS) score for CVE-2020-15193

EPSS FAQ
0.15%
Probability of exploitation activity in the next 30 days EPSS Score History
~ 51 %
Percentile, the proportion of vulnerabilities that are scored at or less

CVSS scores for CVE-2020-15193

Base Score Base Severity CVSS Vector Exploitability Score Impact Score Score Source First Seen
5.5
 MEDIUM AV:N/AC:L/Au:S/C:N/I:P/A:P
8.0
4.9
 NIST
7.1
 HIGH CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:L
2.8
4.2
 NIST
7.1
 HIGH CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:L
2.8
4.2
 GitHub, Inc.

CWE ids for CVE-2020-15193

  • The product uses or accesses a resource that has not been initialized.
    Assigned by:
    • nvd@nist.gov (Primary)
    • security-advisories@github.com (Secondary)

References for CVE-2020-15193

Jump to
This web site uses cookies for managing your session, storing preferences, website analytics and additional purposes described in our privacy policy.
By using this web site you are agreeing to CVEdetails.com terms of use!
Accept Close