CVE-2022-21737
published 2022-02-03CVE-2022-21737: Tensorflow is an Open Source Machine Learning Framework. The implementation of `*Bincount` operations allows malicious users to cause denial of service by…
PriorityP430medium6.5CVSS 3.1
AVNACLPRLUINSUCNINAH
EPSS
0.78%
51.9th percentile
Tensorflow is an Open Source Machine Learning Framework. The implementation of `*Bincount` operations allows malicious users to cause denial of service by passing in arguments which would trigger a `CHECK`-fail. There are several conditions that the input arguments must satisfy. Some are not caught during shape inference and others are not caught during kernel implementation. This results in `CHECK` failures later when the output tensors get allocated. 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
nvdv3.16.5MEDIUMCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
nvdv2.04.0MEDIUMAV:N/AC:L/Au:S/C:N/I:N/A:P
vendor_debian6.5LOW
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GHSA
Assertion failure based denial of service in Tensorflow
ghsa·2022-02-09
CVE-2022-21737 [HIGH] CWE-617 Assertion failure based denial of service in Tensorflow
Assertion failure based denial of service in Tensorflow
### Impact
The [implementation of `*Bincount` operations](https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/bincount_op.cc) allows malicious users to cause denial of service by passing in arguments which would trigger a `CHECK`-fail:
```python
import tensorflow as tf
tf.raw_ops.DenseBincount(
input=[[0], [1], [2]],
size=[1],
weights=[3,2,1],
binary_output=False)
```
There are several conditions that the input arguments must satisfy. Some are not caught during shape inference and others are not caught during kernel implementation. This results in `CHECK` failures later when the output tensors get allocated.
### Patches
We have patched the issue in GitHub commit [7019ce4f
OSV
Assertion failure based denial of service in Tensorflow
osv·2022-02-09
CVE-2022-21737 [HIGH] Assertion failure based denial of service in Tensorflow
Assertion failure based denial of service in Tensorflow
### Impact
The [implementation of `*Bincount` operations](https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/bincount_op.cc) allows malicious users to cause denial of service by passing in arguments which would trigger a `CHECK`-fail:
```python
import tensorflow as tf
tf.raw_ops.DenseBincount(
input=[[0], [1], [2]],
size=[1],
weights=[3,2,1],
binary_output=False)
```
There are several conditions that the input arguments must satisfy. Some are not caught during shape inference and others are not caught during kernel implementation. This results in `CHECK` failures later when the output tensors get allocated.
### Patches
We have patched the issue in GitHub commit [7019ce4f
OSV
CVE-2022-21737: Tensorflow is an Open Source Machine Learning Framework
osv·2022-02-03
CVE-2022-21737 CVE-2022-21737: Tensorflow is an Open Source Machine Learning Framework
Tensorflow is an Open Source Machine Learning Framework. The implementation of `*Bincount` operations allows malicious users to cause denial of service by passing in arguments which would trigger a `CHECK`-fail. There are several conditions that the input arguments must satisfy. Some are not caught during shape inference and others are not caught during kernel implementation. This results in `CHECK` failures later when the output tensors get allocated. 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-2022-21737: tensorflow - Tensorflow is an Open Source Machine Learning Framework. The implementation of `...
vendor_debian·2022·CVSS 6.5
CVE-2022-21737 [MEDIUM] CVE-2022-21737: tensorflow - Tensorflow is an Open Source Machine Learning Framework. The implementation of `...
Tensorflow is an Open Source Machine Learning Framework. The implementation of `*Bincount` operations allows malicious users to cause denial of service by passing in arguments which would trigger a `CHECK`-fail. There are several conditions that the input arguments must satisfy. Some are not caught during shape inference and others are not caught during kernel implementation. This results in `CHECK` failures later when the output tensors get allocated. 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.
No writeups or analysis indexed.
https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/bincount_op.cchttps://github.com/tensorflow/tensorflow/commit/7019ce4f68925fd01cdafde26f8d8c938f47e6f9https://github.com/tensorflow/tensorflow/security/advisories/GHSA-f2vv-v9cg-qhh7https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/bincount_op.cchttps://github.com/tensorflow/tensorflow/commit/7019ce4f68925fd01cdafde26f8d8c938f47e6f9https://github.com/tensorflow/tensorflow/security/advisories/GHSA-f2vv-v9cg-qhh7
2022-02-03
Published