Vulnerability Monitor

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CVE-2021-41221


TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for the `Cudnn*` operations in TensorFlow can be tricked into accessing invalid memory, via a heap buffer overflow. This occurs because the ranks of the `input`, `input_h` and `input_c` parameters are not validated, but code assumes they have certain values. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.


Published

2021-11-05T23:15:08.413

Last Modified

2024-11-21T06:25:48.817

Status

Modified

Source

[email protected]

Severity

CVSSv3.1: 7.8 (HIGH)

CVSSv2 Vector

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

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

3.9

Impact Score

6.4

Weaknesses
  • Type: Secondary
    CWE-120
  • Type: Primary
    CWE-787

Affected Vendors & Products
Type Vendor Product Version/Range Vulnerable?
Application google tensorflow < 2.4.4 Yes
Application google tensorflow < 2.5.2 Yes
Application google tensorflow < 2.6.1 Yes
Application google tensorflow 2.7.0 Yes
Application google tensorflow 2.7.0 Yes

References