CVE-2022-21727
published 2022-02-03CVE-2022-21727: Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `Dequantize` is vulnerable to an integer overflow weakness…
PriorityP344high8.8CVSS 3.1
AVNACLPRLUINSUCHIHAH
EPSS
0.66%
47.4th percentile
Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `Dequantize` is vulnerable to an integer overflow weakness. The `axis` argument can be `-1` (the default value for the optional argument) or any other positive value at most the number of dimensions of the input. Unfortunately, the upper bound is not checked, and, since the code computes `axis + 1`, an attacker can trigger an integer overflow. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Affected
7 ranges
| Vendor | Product | Version range | Fixed in |
|---|---|---|---|
| debian | tensorflow | — | — |
| tensorflow | <= 2.5.2 | — | |
| tensorflow | — | — | |
| tensorflow | 2.6.0 – 2.6.2 | — | |
| intel | optimization_for_tensorflow | >= 0 < 2.5.3 | 2.5.3 |
| intel | optimization_for_tensorflow | >= 2.6.0 < 2.6.3 | 2.6.3 |
| intel | optimization_for_tensorflow | >= 2.7.0 < 2.7.1 | 2.7.1 |
CVSS provenance
nvdv3.18.8HIGHCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
nvdv2.06.5MEDIUMAV:N/AC:L/Au:S/C:P/I:P/A:P
vendor_debian7.6LOW
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GHSA
Integer overflow in Tensorflow
ghsa·2022-02-09
CVE-2022-21727 [HIGH] CWE-190 Integer overflow in Tensorflow
Integer overflow in Tensorflow
### Impact
The [implementation of shape inference for `Dequantize`](https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/ops/array_ops.cc#L3001-L3034) is vulnerable to an integer overflow weakness:
```python
import tensorflow as tf
input = tf.constant([1,1],dtype=tf.qint32)
@tf.function
def test():
y = tf.raw_ops.Dequantize(
input=input,
min_range=[1.0],
max_range=[10.0],
mode='MIN_COMBINED',
narrow_range=False,
axis=2**31-1,
dtype=tf.bfloat16)
return y
test()
```
The `axis` argument can be `-1` (the default value for the optional argument) or any other positive value at most the number of dimensions of the input. Unfortunately, the upper bound is not checked, and, since the code computes `axis + 1`, an
OSV
Integer overflow in Tensorflow
osv·2022-02-09
CVE-2022-21727 [HIGH] Integer overflow in Tensorflow
Integer overflow in Tensorflow
### Impact
The [implementation of shape inference for `Dequantize`](https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/ops/array_ops.cc#L3001-L3034) is vulnerable to an integer overflow weakness:
```python
import tensorflow as tf
input = tf.constant([1,1],dtype=tf.qint32)
@tf.function
def test():
y = tf.raw_ops.Dequantize(
input=input,
min_range=[1.0],
max_range=[10.0],
mode='MIN_COMBINED',
narrow_range=False,
axis=2**31-1,
dtype=tf.bfloat16)
return y
test()
```
The `axis` argument can be `-1` (the default value for the optional argument) or any other positive value at most the number of dimensions of the input. Unfortunately, the upper bound is not checked, and, since the code computes `axis + 1`, an
OSV
CVE-2022-21727: Tensorflow is an Open Source Machine Learning Framework
osv·2022-02-03
CVE-2022-21727 CVE-2022-21727: Tensorflow is an Open Source Machine Learning Framework
Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `Dequantize` is vulnerable to an integer overflow weakness. The `axis` argument can be `-1` (the default value for the optional argument) or any other positive value at most the number of dimensions of the input. Unfortunately, the upper bound is not checked, and, since the code computes `axis + 1`, an attacker can trigger an integer overflow. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Debian
CVE-2022-21727: tensorflow - Tensorflow is an Open Source Machine Learning Framework. The implementation of s...
vendor_debian·2022·CVSS 7.6
CVE-2022-21727 [HIGH] CVE-2022-21727: tensorflow - Tensorflow is an Open Source Machine Learning Framework. The implementation of s...
Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `Dequantize` is vulnerable to an integer overflow weakness. The `axis` argument can be `-1` (the default value for the optional argument) or any other positive value at most the number of dimensions of the input. Unfortunately, the upper bound is not checked, and, since the code computes `axis + 1`, an attacker can trigger an integer overflow. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Scope: local
forky: resolved
sid: resolved
No detection rules found.
No public exploits indexed.
https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/ops/array_ops.cc#L3001-L3034https://github.com/tensorflow/tensorflow/commit/b64638ec5ccaa77b7c1eb90958e3d85ce381f91bhttps://github.com/tensorflow/tensorflow/security/advisories/GHSA-c6fh-56w7-fvjwhttps://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/ops/array_ops.cc#L3001-L3034https://github.com/tensorflow/tensorflow/commit/b64638ec5ccaa77b7c1eb90958e3d85ce381f91bhttps://github.com/tensorflow/tensorflow/security/advisories/GHSA-c6fh-56w7-fvjw
2022-02-03
Published