7.8
CVE-2021-37651
- EPSS 0.17%
- Veröffentlicht 12.08.2021 21:15:08
- Zuletzt bearbeitet 21.11.2024 06:15:36
- Erkennungen
Heap buffer overflow in `FractionalAvgPoolGrad` in TensorFlow
TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation for `tf.raw_ops.FractionalAvgPoolGrad` can be tricked into accessing data outside of bounds of heap allocated buffers. The [implementation](https://github.com/tensorflow/tensorflow/blob/f24faa153ad31a4b51578f8181d3aaab77a1ddeb/tensorflow/core/kernels/fractional_avg_pool_op.cc#L205) does not validate that the input tensor is non-empty. Thus, code constructs an empty `EigenDoubleMatrixMap` and then accesses this buffer with indices that are outside of the empty area. We have patched the issue in GitHub commit 0f931751fb20f565c4e94aa6df58d54a003cdb30. 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.
Daten sind bereitgestellt durch National Vulnerability Database (NVD)
Google ≫ Tensorflow Version >= 2.3.0 < 2.3.4
Google ≫ Tensorflow Version >= 2.4.0 < 2.4.3
Google ≫ Tensorflow Version 2.5.0
Google ≫ Tensorflow Version 2.6.0 Update rc0
Google ≫ Tensorflow Version 2.6.0 Update rc1
Google ≫ Tensorflow Version 2.6.0 Update rc2
| Typ | Quelle | Score | Percentile |
|---|---|---|---|
| EPSS | FIRST.org | 0.17% | 0.07 |
| Quelle | Base Score | Exploit Score | Impact Score | Vector String |
|---|---|---|---|---|
| NIST | 7.8 | 1.8 | 5.9 |
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
|
| NIST | 4.6 | 3.9 | 6.4 |
AV:L/AC:L/Au:N/C:P/I:P/A:P
|
| security-advisories@github.com | 7.1 | 1.8 | 5.2 |
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N
|
CWE-125 Out-of-bounds Read
The product reads data past the end, or before the beginning, of the intended buffer.
CWE-787 Out-of-bounds Write
The product writes data past the end, or before the beginning, of the intended buffer.
https://github.com/tensorflow/tensorflow/commit/0f931751fb20f565c4e94aa6df58d54a003cdb30
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-hpv4-7p9c-mvfr