CVE-2022-35981
published 2022-09-16CVE-2022-35981: TensorFlow is an open source platform for machine learning. `FractionalMaxPoolGrad` validates its inputs with `CHECK` failures instead of with returning…
PriorityP338high7.5CVSS 3.1
AVNACLPRNUINSUCNINAH
EPSS
0.41%
33.7th percentile
TensorFlow is an open source platform for machine learning. `FractionalMaxPoolGrad` validates its inputs with `CHECK` failures instead of with returning errors. If it gets incorrectly sized inputs, the `CHECK` failure can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 8741e57d163a079db05a7107a7609af70931def4. 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 | < 2.7.2 | 2.7.2 | |
| tensorflow | — | — | |
| 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 `CHECK` fail in `FractionalMaxPoolGrad`
ghsa·2022-09-16
CVE-2022-35981 [MEDIUM] CWE-617 TensorFlow vulnerable to `CHECK` fail in `FractionalMaxPoolGrad`
TensorFlow vulnerable to `CHECK` fail in `FractionalMaxPoolGrad`
### Impact
`FractionalMaxPoolGrad` validates its inputs with `CHECK` failures instead of with returning errors. If it gets incorrectly sized inputs, the `CHECK` failure can be used to trigger a denial of service attack:
```python
import tensorflow as tf
overlapping = True
orig_input = tf.constant(.453409232, shape=[1,7,13,1], dtype=tf.float32)
orig_output = tf.constant(.453409232, shape=[1,7,13,1], dtype=tf.float32)
out_backprop = tf.constant(.453409232, shape=[1,7,13,1], dtype=tf.float32)
row_pooling_sequence = tf.constant(0, shape=[5], dtype=tf.int64)
col_pooling_sequence = tf.constant(0, shape=[5], dtype=tf.int64)
tf.raw_ops.FractionalMaxPoolGrad(orig_input=orig_input, orig_output=orig_output, out_backprop=out_backprop,
OSV
TensorFlow vulnerable to `CHECK` fail in `FractionalMaxPoolGrad`
osv·2022-09-16
CVE-2022-35981 [MEDIUM] TensorFlow vulnerable to `CHECK` fail in `FractionalMaxPoolGrad`
TensorFlow vulnerable to `CHECK` fail in `FractionalMaxPoolGrad`
### Impact
`FractionalMaxPoolGrad` validates its inputs with `CHECK` failures instead of with returning errors. If it gets incorrectly sized inputs, the `CHECK` failure can be used to trigger a denial of service attack:
```python
import tensorflow as tf
overlapping = True
orig_input = tf.constant(.453409232, shape=[1,7,13,1], dtype=tf.float32)
orig_output = tf.constant(.453409232, shape=[1,7,13,1], dtype=tf.float32)
out_backprop = tf.constant(.453409232, shape=[1,7,13,1], dtype=tf.float32)
row_pooling_sequence = tf.constant(0, shape=[5], dtype=tf.int64)
col_pooling_sequence = tf.constant(0, shape=[5], dtype=tf.int64)
tf.raw_ops.FractionalMaxPoolGrad(orig_input=orig_input, orig_output=orig_output, out_backprop=out_backprop,
Debian
CVE-2022-35981: tensorflow - TensorFlow is an open source platform for machine learning. `FractionalMaxPoolGr...
vendor_debian·2022·CVSS 5.9
CVE-2022-35981 [MEDIUM] CVE-2022-35981: tensorflow - TensorFlow is an open source platform for machine learning. `FractionalMaxPoolGr...
TensorFlow is an open source platform for machine learning. `FractionalMaxPoolGrad` validates its inputs with `CHECK` failures instead of with returning errors. If it gets incorrectly sized inputs, the `CHECK` failure can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 8741e57d163a079db05a7107a7609af70931def4. 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/8741e57d163a079db05a7107a7609af70931def4https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vxv8-r8q2-63xwhttps://github.com/tensorflow/tensorflow/commit/8741e57d163a079db05a7107a7609af70931def4https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vxv8-r8q2-63xw
2022-09-16
Published