CVE-2020-15208

Data corruption in tensorflow-lite

State
Published
Severity
7.4 High
Published
Sep 25, 2020
Updated
Aug 4, 2024
Reserved
Jun 25, 2020

Read the record on cve.org

Description

In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, when determining the common dimension size of two tensors, TFLite uses a `DCHECK` which is no-op outside of debug compilation modes. Since the function always returns the dimension of the first tensor, malicious attackers can craft cases where this is larger than that of the second tensor. In turn, this would result in reads/writes outside of bounds since the interpreter will wrongly assume that there is enough data in both tensors. The issue is patched in commit 8ee24e7949a203d234489f9da2c5bf45a7d5157d, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.

Scores

CVSSScoreVectorSource
3.17.4 HighCVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:NGitHub_M

Weaknesses

  • CWE-125 {"CWE-125":"Out-of-bounds Read"}
  • CWE-787 {"CWE-787":"Out-of-bounds Write"}

Affected Products

ProductVersions
tensorflowtensorflow
  • < 1.15.4Affected
  • >= 2.0.0, < 2.0.3Affected
  • >= 2.1.0, < 2.1.2Affected
  • >= 2.2.0, < 2.2.1Affected
  • >= 2.3.0, < 2.3.1Affected

References

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