CVEvulnerability

CVE-2022-29212

5.5 MEDIUM Published 2022-05-21 Modified 2026-06-17 Official page ↗
Status
Modified
Published
2022-05-21
Last modified
2026-06-17
Assigner
[email protected]
CVSS 3.1 ([email protected])
5.5 MEDIUM — CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
CVSS 3.1 ([email protected])
5.5 MEDIUM — CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
CVSS 2.0 ([email protected])
2.1 LOW — AV:L/AC:L/Au:N/C:N/I:N/A:P
Weaknesses
CWE-20

Description

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.

Affected configurations

• google tensorflow (< 2.6.4) • google tensorflow (>= 2.7.0 < 2.7.2) • google tensorflow 2.7.0 • google tensorflow 2.8.0 • google tensorflow 2.9.0

Related

Weakness · CWE (1)

  • CWE-20 Improper Input Validation weakness

References