CVE-2022-35964
published 2022-09-16CVE-2022-35964: TensorFlow is an open source platform for machine learning. The implementation of `BlockLSTMGradV2` does not fully validate its inputs. This results in a a…
PriorityP336high7.5CVSS 3.1
AVNACLPRNUINSUCNINAH
EPSS
0.42%
34.4th percentile
TensorFlow is an open source platform for machine learning. The implementation of `BlockLSTMGradV2` does not fully validate its inputs. This results in a a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 2a458fc4866505be27c62f81474ecb2b870498fa. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Affected
11 ranges
| Vendor | Product | Version range | Fixed in |
|---|---|---|---|
| debian | tensorflow | — | — |
| tensorflow | — | — | |
| tensorflow | >= 2.7.0 < 2.7.2 | 2.7.2 | |
| tensorflow | >= 2.8.0 < 2.8.1 | 2.8.1 | |
| tensorflow | >= 2.9.0 < 2.9.1 | 2.9.1 | |
| intel | optimization_for_tensorflow | >= 0 < 2.7.2 | 2.7.2 |
| intel | optimization_for_tensorflow | >= 2.8.0 < 2.8.1 | 2.8.1 |
| intel | optimization_for_tensorflow | >= 2.9.0 < 2.9.1 | 2.9.1 |
| tensorflow | tensorflow | < 2.7.2 | 2.7.2 |
| tensorflow | tensorflow | — | — |
| tensorflow | tensorflow | — | — |
CVSS provenance
nvdv3.17.5HIGHCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
vendor_debian5.9LOW
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GHSA
TensorFlow vulnerable to segfault in `BlockLSTMGradV2`
ghsa·2022-09-16
CVE-2022-35964 [MEDIUM] CWE-20 TensorFlow vulnerable to segfault in `BlockLSTMGradV2`
TensorFlow vulnerable to segfault in `BlockLSTMGradV2`
### Impact
The implementation of `BlockLSTMGradV2` does not fully validate its inputs.
- `wci`, `wcf`, `wco`, `b` must be rank 1
- `w`, cs_prev`, `h_prev` must be rank 2
- `x` must be rank 3
This results in a a segfault that can be used to trigger a denial of service attack.
```python
import tensorflow as tf
use_peephole = False
seq_len_max = tf.constant(1, shape=[], dtype=tf.int64)
x = tf.constant(0.504355371, shape=[1,1,1], dtype=tf.float32)
cs_prev = tf.constant(0.504355371, shape=[1,1,1], dtype=tf.float32)
h_prev = tf.constant(0.504355371, shape=[1,1,1], dtype=tf.float32)
w = tf.constant(0.504355371, shape=[1,1,1], dtype=tf.float32)
wci = tf.constant(0.504355371, shape=[1,1,1], dtype=tf.float32)
wcf = tf.constant(0.504355371, sha
OSV
TensorFlow vulnerable to segfault in `BlockLSTMGradV2`
osv·2022-09-16
CVE-2022-35964 [MEDIUM] TensorFlow vulnerable to segfault in `BlockLSTMGradV2`
TensorFlow vulnerable to segfault in `BlockLSTMGradV2`
### Impact
The implementation of `BlockLSTMGradV2` does not fully validate its inputs.
- `wci`, `wcf`, `wco`, `b` must be rank 1
- `w`, cs_prev`, `h_prev` must be rank 2
- `x` must be rank 3
This results in a a segfault that can be used to trigger a denial of service attack.
```python
import tensorflow as tf
use_peephole = False
seq_len_max = tf.constant(1, shape=[], dtype=tf.int64)
x = tf.constant(0.504355371, shape=[1,1,1], dtype=tf.float32)
cs_prev = tf.constant(0.504355371, shape=[1,1,1], dtype=tf.float32)
h_prev = tf.constant(0.504355371, shape=[1,1,1], dtype=tf.float32)
w = tf.constant(0.504355371, shape=[1,1,1], dtype=tf.float32)
wci = tf.constant(0.504355371, shape=[1,1,1], dtype=tf.float32)
wcf = tf.constant(0.504355371, sha
Debian
CVE-2022-35964: tensorflow - TensorFlow is an open source platform for machine learning. The implementation o...
vendor_debian·2022·CVSS 5.9
CVE-2022-35964 [MEDIUM] CVE-2022-35964: tensorflow - TensorFlow is an open source platform for machine learning. The implementation o...
TensorFlow is an open source platform for machine learning. The implementation of `BlockLSTMGradV2` does not fully validate its inputs. This results in a a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 2a458fc4866505be27c62f81474ecb2b870498fa. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds 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/commit/2a458fc4866505be27c62f81474ecb2b870498fahttps://github.com/tensorflow/tensorflow/security/advisories/GHSA-f7r5-q7cx-h668https://github.com/tensorflow/tensorflow/commit/2a458fc4866505be27c62f81474ecb2b870498fahttps://github.com/tensorflow/tensorflow/security/advisories/GHSA-f7r5-q7cx-h668
2022-09-16
Published