CVE-2022-29212
published 2022-05-21CVE-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…
PriorityP423medium5.5CVSS 3.1
AVLACLPRLUINSUCNINAH
EPSS
0.32%
23.7th percentile
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
13 ranges
| Vendor | Product | Version range | Fixed in |
|---|---|---|---|
| debian | tensorflow | — | — |
| tensorflow | < 2.6.4 | 2.6.4 | |
| tensorflow | — | — | |
| tensorflow | — | — | |
| tensorflow | — | — | |
| tensorflow | >= 2.7.0 < 2.7.2 | 2.7.2 | |
| intel | optimization_for_tensorflow | >= 0 < 2.6.4 | 2.6.4 |
| intel | optimization_for_tensorflow | >= 2.7.0 < 2.7.2 | 2.7.2 |
| intel | optimization_for_tensorflow | >= 2.8.0 < 2.8.1 | 2.8.1 |
| tensorflow | tensorflow | < 2.6.4 | 2.6.4 |
| tensorflow | tensorflow | — | — |
| tensorflow | tensorflow | — | — |
| tensorflow | tensorflow | — | — |
CVSS provenance
nvdv3.15.5MEDIUMCVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
nvdv2.02.1LOWAV:L/AC:L/Au:N/C:N/I:N/A:P
vendor_debian5.5LOW
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GHSA
Core dump when loading TFLite models with quantization in TensorFlow
ghsa·2022-05-24
CVE-2022-29212 [MEDIUM] CWE-20 Core dump when loading TFLite models with quantization in TensorFlow
Core dump when loading TFLite models with quantization in TensorFlow
### Impact
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`](https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/lite/kernels/internal/quantization_util.cc#L114-L123), the `TFLITE_CHECK_LT` assertion would trigger and abort the process.
### Patches
We have patched the issue in GitHub commit [a989426ee1346693cc015792f11d715f6944f2b8](https://github.com/tensorflow/tensorflow/commit/a989426ee1346693cc015792f11d7
OSV
Core dump when loading TFLite models with quantization in TensorFlow
osv·2022-05-24
CVE-2022-29212 [MEDIUM] Core dump when loading TFLite models with quantization in TensorFlow
Core dump when loading TFLite models with quantization in TensorFlow
### Impact
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`](https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/lite/kernels/internal/quantization_util.cc#L114-L123), the `TFLITE_CHECK_LT` assertion would trigger and abort the process.
### Patches
We have patched the issue in GitHub commit [a989426ee1346693cc015792f11d715f6944f2b8](https://github.com/tensorflow/tensorflow/commit/a989426ee1346693cc015792f11d7
Debian
CVE-2022-29212: tensorflow - TensorFlow is an open source platform for machine learning. Prior to versions 2....
vendor_debian·2022·CVSS 5.5
CVE-2022-29212 [MEDIUM] CVE-2022-29212: tensorflow - TensorFlow is an open source platform for machine learning. Prior to versions 2....
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.
Scope: local
forky: resolved
sid: resolved
No detection rules found.
No public exploits indexed.
No writeups or analysis indexed.
https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/lite/kernels/internal/quantization_util.cc#L114-L123https://github.com/tensorflow/tensorflow/commit/a989426ee1346693cc015792f11d715f6944f2b8https://github.com/tensorflow/tensorflow/issues/43661https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8wwm-6264-x792https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/lite/kernels/internal/quantization_util.cc#L114-L123https://github.com/tensorflow/tensorflow/commit/a989426ee1346693cc015792f11d715f6944f2b8https://github.com/tensorflow/tensorflow/issues/43661https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8wwm-6264-x792
2022-05-21
Published