Vulnerability Monitor

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CVE-2022-29212


TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, certain TFLite models that were created using TFLite model converter would crash when loaded in the TFLite interpreter. The culprit is that during quantization the scale of values could be greater than 1 but code was always assuming sub-unit scaling. Thus, since code was calling `QuantizeMultiplierSmallerThanOneExp`, the `TFLITE_CHECK_LT` assertion would trigger and abort the process. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.


Published

2022-05-21T00:15:11.720

Last Modified

2024-11-21T06:58:43.800

Status

Modified

Source

[email protected]

Severity

CVSSv3.1: 5.5 (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: Primary
    CWE-20

Affected Vendors & Products
Type Vendor Product Version/Range Vulnerable?
Application google tensorflow < 2.6.4 Yes
Application google tensorflow < 2.7.2 Yes
Application google tensorflow 2.7.0 Yes
Application google tensorflow 2.7.0 Yes
Application google tensorflow 2.8.0 Yes
Application google tensorflow 2.8.0 Yes
Application google tensorflow 2.8.0 Yes
Application google tensorflow 2.9.0 Yes
Application google tensorflow 2.9.0 Yes

References