CVE-2022-29192
published 2022-05-20CVE-2022-29192: 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, the implementation of…
PriorityP420medium5.5CVSS 3.1
AVLACLPRLUINSUCNINAH
EPSS
0.34%
26.3th 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, the implementation of `tf.raw_ops.QuantizeAndDequantizeV4Grad` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.
Affected
12 ranges
| Vendor | Product | Version range | Fixed in |
|---|---|---|---|
| debian | tensorflow | — | — |
| tensorflow | < 2.6.4 | 2.6.4 | |
| tensorflow | — | — | |
| tensorflow | >= 2.7.0 < 2.7.2 | 2.7.2 | |
| tensorflow | >= 2.8.0 < 2.8.1 | 2.8.1 | |
| 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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Debian
CVE-2022-29192: tensorflow - TensorFlow is an open source platform for machine learning. Prior to versions 2....
vendor_debian·2022·CVSS 5.5
CVE-2022-29192 [MEDIUM] CVE-2022-29192: 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, the implementation of `tf.raw_ops.QuantizeAndDequantizeV4Grad` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. 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
GHSA
Missing validation crashes `QuantizeAndDequantizeV4Grad`
ghsa·2022-05-24
CVE-2022-29192 [MEDIUM] CWE-20 Missing validation crashes `QuantizeAndDequantizeV4Grad`
Missing validation crashes `QuantizeAndDequantizeV4Grad`
### Impact
The implementation of [`tf.raw_ops.QuantizeAndDequantizeV4Grad`](https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/quantize_and_dequantize_op.cc#L148-L226) does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack:
```python
import tensorflow as tf
tf.raw_ops.QuantizeAndDequantizeV4Grad(
gradients=tf.constant(1, shape=[2,2], dtype=tf.float64),
input=tf.constant(1, shape=[2,2], dtype=tf.float64),
input_min=tf.constant([], shape=[0], dtype=tf.float64),
input_max=tf.constant(-10, shape=[], dtype=tf.float64),
axis=-1)
```
The code assumes `input_min` and `input_max` are scalars but there
OSV
Missing validation crashes `QuantizeAndDequantizeV4Grad`
osv·2022-05-24
CVE-2022-29192 [MEDIUM] Missing validation crashes `QuantizeAndDequantizeV4Grad`
Missing validation crashes `QuantizeAndDequantizeV4Grad`
### Impact
The implementation of [`tf.raw_ops.QuantizeAndDequantizeV4Grad`](https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/quantize_and_dequantize_op.cc#L148-L226) does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack:
```python
import tensorflow as tf
tf.raw_ops.QuantizeAndDequantizeV4Grad(
gradients=tf.constant(1, shape=[2,2], dtype=tf.float64),
input=tf.constant(1, shape=[2,2], dtype=tf.float64),
input_min=tf.constant([], shape=[0], dtype=tf.float64),
input_max=tf.constant(-10, shape=[], dtype=tf.float64),
axis=-1)
```
The code assumes `input_min` and `input_max` are scalars but there
No detection rules found.
No public exploits indexed.
No writeups or analysis indexed.
https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/quantize_and_dequantize_op.cc#L148-L226https://github.com/tensorflow/tensorflow/commit/098e7762d909bac47ce1dbabe6dfd06294cb9d58https://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-h2wq-prv9-2f56https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/quantize_and_dequantize_op.cc#L148-L226https://github.com/tensorflow/tensorflow/commit/098e7762d909bac47ce1dbabe6dfd06294cb9d58https://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-h2wq-prv9-2f56
2022-05-20
Published