CVE-2021-37664
published 2021-08-12CVE-2021-37664: TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can read from outside of bounds of heap allocated data…
PriorityP429high7.1CVSS 3.1
AVLACLPRLUINSUCHINAH
EPSS
0.17%
6.3th percentile
TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can read from outside of bounds of heap allocated data by sending specially crafted illegal arguments to `BoostedTreesSparseCalculateBestFeatureSplit`. The [implementation](https://github.com/tensorflow/tensorflow/blob/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/boosted_trees/stats_ops.cc) needs to validate that each value in `stats_summary_indices` is in range. We have patched the issue in GitHub commit e84c975313e8e8e38bb2ea118196369c45c51378. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
Affected
13 ranges
| Vendor | Product | Version range | Fixed in |
|---|---|---|---|
| debian | tensorflow | — | — |
| tensorflow | — | — | |
| tensorflow | — | — | |
| tensorflow | >= 2.3.0 < 2.3.4 | 2.3.4 | |
| tensorflow | >= 2.4.0 < 2.4.3 | 2.4.3 | |
| intel | optimization_for_tensorflow | >= 0 < e84c975313e8e8e38bb2ea118196369c45c51378 | e84c975313e8e8e38bb2ea118196369c45c51378 |
| intel | optimization_for_tensorflow | >= 0 < 2.3.4 | 2.3.4 |
| intel | optimization_for_tensorflow | >= 2.3.0 < 2.3.4 | 2.3.4 |
| intel | optimization_for_tensorflow | >= 2.4.0 < 2.4.3 | 2.4.3 |
| intel | optimization_for_tensorflow | >= 2.5.0 < 2.5.1 | 2.5.1 |
| tensorflow | tensorflow | < 2.3.4 | 2.3.4 |
| tensorflow | tensorflow | — | — |
| tensorflow | tensorflow | — | — |
CVSS provenance
nvdv3.17.1HIGHCVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H
nvdv2.03.6LOWAV:L/AC:L/Au:N/C:P/I:N/A:P
vendor_debian7.3LOW
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Debian
CVE-2021-37664: tensorflow - TensorFlow is an end-to-end open source platform for machine learning. In affect...
vendor_debian·2021·CVSS 7.3
CVE-2021-37664 [HIGH] CVE-2021-37664: tensorflow - TensorFlow is an end-to-end open source platform for machine learning. In affect...
TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can read from outside of bounds of heap allocated data by sending specially crafted illegal arguments to `BoostedTreesSparseCalculateBestFeatureSplit`. The [implementation](https://github.com/tensorflow/tensorflow/blob/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/boosted_trees/stats_ops.cc) needs to validate that each value in `stats_summary_indices` is in range. We have patched the issue in GitHub commit e84c975313e8e8e38bb2ea118196369c45c51378. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
Scope: local
forky: resol
OSV
Heap OOB in boosted trees
osv·2021-08-25
CVE-2021-37664 [HIGH] Heap OOB in boosted trees
Heap OOB in boosted trees
### Impact
An attacker can read from outside of bounds of heap allocated data by sending specially crafted illegal arguments to `BoostedTreesSparseCalculateBestFeatureSplit`:
```python
import tensorflow as tf
tf.raw_ops.BoostedTreesSparseCalculateBestFeatureSplit(
node_id_range=[0,10],
stats_summary_indices=[[1, 2, 3, 0x1000000]],
stats_summary_values=[1.0],
stats_summary_shape=[1,1,1,1],
l1=l2=[1.0],
tree_complexity=[0.5],
min_node_weight=[1.0],
logits_dimension=3,
split_type='inequality')
```
The [implementation](https://github.com/tensorflow/tensorflow/blob/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/boosted_trees/stats_ops.cc) needs to validate that each value in `stats_summary_indices` is in range.
### Patches
We have patched the iss
GHSA
Heap OOB in boosted trees
ghsa·2021-08-25
CVE-2021-37664 [HIGH] CWE-125 Heap OOB in boosted trees
Heap OOB in boosted trees
### Impact
An attacker can read from outside of bounds of heap allocated data by sending specially crafted illegal arguments to `BoostedTreesSparseCalculateBestFeatureSplit`:
```python
import tensorflow as tf
tf.raw_ops.BoostedTreesSparseCalculateBestFeatureSplit(
node_id_range=[0,10],
stats_summary_indices=[[1, 2, 3, 0x1000000]],
stats_summary_values=[1.0],
stats_summary_shape=[1,1,1,1],
l1=l2=[1.0],
tree_complexity=[0.5],
min_node_weight=[1.0],
logits_dimension=3,
split_type='inequality')
```
The [implementation](https://github.com/tensorflow/tensorflow/blob/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/boosted_trees/stats_ops.cc) needs to validate that each value in `stats_summary_indices` is in range.
### Patches
We have patched the iss
OSV
CVE-2021-37664: TensorFlow is an end-to-end open source platform for machine learning
osv·2021-08-12
CVE-2021-37664 CVE-2021-37664: TensorFlow is an end-to-end open source platform for machine learning
TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can read from outside of bounds of heap allocated data by sending specially crafted illegal arguments to `BoostedTreesSparseCalculateBestFeatureSplit`. The [implementation](https://github.com/tensorflow/tensorflow/blob/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/boosted_trees/stats_ops.cc) needs to validate that each value in `stats_summary_indices` is in range. We have patched the issue in GitHub commit e84c975313e8e8e38bb2ea118196369c45c51378. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
No detection rules found.
No public exploits indexed.
No writeups or analysis indexed.
https://github.com/tensorflow/tensorflow/commit/e84c975313e8e8e38bb2ea118196369c45c51378https://github.com/tensorflow/tensorflow/security/advisories/GHSA-r4c4-5fpq-56wghttps://github.com/tensorflow/tensorflow/commit/e84c975313e8e8e38bb2ea118196369c45c51378https://github.com/tensorflow/tensorflow/security/advisories/GHSA-r4c4-5fpq-56wg
2021-08-12
Published