Vulnerability Monitor

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CVE-2020-26270

In affected versions of TensorFlow running an LSTM/GRU model where the LSTM/GRU layer receives an input with zero-length results in a CHECK failure when using the CUDA backend. This can result in a query-of-death vulnerability, via denial of service, if users can control the input to the layer. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0.

Published

2020-12-10T23:15:12.973

Last Modified

2024-11-21T05:19:42.983

Status

Modified

Source

[email protected]

Severity

CVSSv3.1: 4.4 (MEDIUM)

CVSSv2 Vector

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

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

3.9

Impact Score

2.9

Weaknesses
  • Type: Secondary
    CWE-20
  • Type: Primary
    CWE-20
Affected Vendors & Products
Type Vendor Product Version/Range Vulnerable?
Application google tensorflow < 1.15.5 Yes
Application google tensorflow < 2.0.4 Yes
Application google tensorflow < 2.1.3 Yes
Application google tensorflow < 2.2.2 Yes
Application google tensorflow < 2.3.2 Yes
References