CVE-2022-29212
Core dump when loading TFLite models with quantization in TensorFlow
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.
How to fix CVE-2022-29212
To remediate CVE-2022-29212, upgrade the affected package to a fixed version below.
- —upgrade to 2.6.4 or later
- —upgrade to 2.6.4 or later
- —upgrade to 2.6.4 or later
- —upgrade to 2.6.4 or later
Is CVE-2022-29212 being exploited?
Low — EPSS is 0.1%, meaning exploitation activity has not been observed at scale.
Affected packages (4)
- from 0, < 2.6.4, >= 2.7.0, < 2.7.2, >= 2.8.0, < 2.8.1
- from 0, < 2.6.4
- from 0, < 2.6.4
- from 0, < 2.6.4
CVSS scores
| Source | Version | Severity | Vector |
|---|---|---|---|
| osv | CVSS 3.1 | MEDIUM5.5 | CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H |
References (10)
- ADVISORYnvd.nist.gov/vuln/detail/CVE-2022-29212
- PATCHgithub.com/tensorflow/tensorflow
- WEBgithub.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/lite/kernels/internal/quantization_util.cc#L114-L123
- WEBgithub.com/tensorflow/tensorflow/commit/a989426ee1346693cc015792f11d715f6944f2b8