Vulnerability Monitor

The vendors, products, and vulnerabilities you care about

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

2020-09-25T19:15:14.573

Last Modified

2024-11-21T05:05:03.037

Status

Modified

Source

[email protected]

Severity

CVSSv3.1: 7.1 (HIGH)

CVSSv2 Vector

AV:N/AC:L/Au:S/C:N/I:P/A:P

  • Access Vector: NETWORK
  • Access Complexity: LOW
  • Authentication: SINGLE
  • Confidentiality Impact: NONE
  • Integrity Impact: PARTIAL
  • Availability Impact: PARTIAL
Exploitability Score

8.0

Impact Score

4.9

Weaknesses
  • Type: Secondary
    CWE-908
  • Type: Primary
    CWE-908
Affected Vendors & Products
Type Vendor Product Version/Range Vulnerable?
Application google tensorflow 2.2.0 Yes
Application google tensorflow 2.3.0 Yes
Operating System opensuse leap 15.2 Yes
References