CVE-2021-37685
published 2021-08-12CVE-2021-37685: TensorFlow is an end-to-end open source platform for machine learning. In affected versions TFLite's…
PriorityP424medium5.5CVSS 3.1
AVLACLPRLUINSUCHINAN
EPSS
0.17%
6.8th percentile
TensorFlow is an end-to-end open source platform for machine learning. In affected versions TFLite's [`expand_dims.cc`](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/lite/kernels/expand_dims.cc#L36-L50) contains a vulnerability which allows reading one element outside of bounds of heap allocated data. If `axis` is a large negative value (e.g., `-100000`), then after the first `if` it would still be negative. The check following the `if` statement will pass and the `for` loop would read one element before the start of `input_dims.data` (when `i = 0`). We have patched the issue in GitHub commit d94ffe08a65400f898241c0374e9edc6fa8ed257. 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 < 2.3.4 | 2.3.4 |
| intel | optimization_for_tensorflow | >= 0 < d94ffe08a65400f898241c0374e9edc6fa8ed257 | d94ffe08a65400f898241c0374e9edc6fa8ed257 |
| 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
nvdv3.15.5MEDIUMCVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N
nvdv2.02.1LOWAV:L/AC:L/Au:N/C:P/I:N/A:N
vendor_debian5.5LOW
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Debian
CVE-2021-37685: tensorflow - TensorFlow is an end-to-end open source platform for machine learning. In affect...
vendor_debian·2021·CVSS 5.5
CVE-2021-37685 [MEDIUM] CVE-2021-37685: 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 TFLite's [`expand_dims.cc`](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/lite/kernels/expand_dims.cc#L36-L50) contains a vulnerability which allows reading one element outside of bounds of heap allocated data. If `axis` is a large negative value (e.g., `-100000`), then after the first `if` it would still be negative. The check following the `if` statement will pass and the `for` loop would read one element before the start of `input_dims.data` (when `i = 0`). We have patched the issue in GitHub commit d94ffe08a65400f898241c0374e9edc6fa8ed257. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, Ten
GHSA
Heap OOB in TFLite
ghsa·2021-08-25
CVE-2021-37685 [MEDIUM] CWE-125 Heap OOB in TFLite
Heap OOB in TFLite
### Impact
TFLite's [`expand_dims.cc`](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/lite/kernels/expand_dims.cc#L36-L50) contains a vulnerability which allows reading one element outside of bounds of heap allocated data:
```cc
if (axis size; ++i) {
if (i data[i] = input_dims.data[i];
} else if (i == axis) {
output_dims->data[i] = 1;
} else {
output_dims->data[i] = input_dims.data[i - 1];
}
}
```
If `axis` is a large negative value (e.g., `-100000`), then after the first `if` it would still be negative. The check following the `if` statement will pass and the `for` loop would read one element before the start of `input_dims.data` (when `i = 0`).
### Patches
We have patched the issue in GitHub commit [d94ffe08a65400f
OSV
Heap OOB in TFLite
osv·2021-08-25
CVE-2021-37685 [MEDIUM] Heap OOB in TFLite
Heap OOB in TFLite
### Impact
TFLite's [`expand_dims.cc`](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/lite/kernels/expand_dims.cc#L36-L50) contains a vulnerability which allows reading one element outside of bounds of heap allocated data:
```cc
if (axis size; ++i) {
if (i data[i] = input_dims.data[i];
} else if (i == axis) {
output_dims->data[i] = 1;
} else {
output_dims->data[i] = input_dims.data[i - 1];
}
}
```
If `axis` is a large negative value (e.g., `-100000`), then after the first `if` it would still be negative. The check following the `if` statement will pass and the `for` loop would read one element before the start of `input_dims.data` (when `i = 0`).
### Patches
We have patched the issue in GitHub commit [d94ffe08a65400f
OSV
CVE-2021-37685: TensorFlow is an end-to-end open source platform for machine learning
osv·2021-08-12
CVE-2021-37685 CVE-2021-37685: 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 TFLite's [`expand_dims.cc`](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/lite/kernels/expand_dims.cc#L36-L50) contains a vulnerability which allows reading one element outside of bounds of heap allocated data. If `axis` is a large negative value (e.g., `-100000`), then after the first `if` it would still be negative. The check following the `if` statement will pass and the `for` loop would read one element before the start of `input_dims.data` (when `i = 0`). We have patched the issue in GitHub commit d94ffe08a65400f898241c0374e9edc6fa8ed257. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, Ten
No detection rules found.
No public exploits indexed.
No writeups or analysis indexed.
https://github.com/tensorflow/tensorflow/commit/d94ffe08a65400f898241c0374e9edc6fa8ed257https://github.com/tensorflow/tensorflow/security/advisories/GHSA-c545-c4f9-rf6vhttps://github.com/tensorflow/tensorflow/commit/d94ffe08a65400f898241c0374e9edc6fa8ed257https://github.com/tensorflow/tensorflow/security/advisories/GHSA-c545-c4f9-rf6v
2021-08-12
Published