Description
TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can trigger a read from outside of bounds of heap allocated data by sending invalid arguments to `tf.raw_ops.ResourceScatterUpdate`. The [implementation](https://github.com/tensorflow/tensorflow/blob/f24faa153ad31a4b51578f8181d3aaab77a1ddeb/tensorflow/core/kernels/resource_variable_ops.cc#L919-L923) has an incomplete validation of the relationship between the shapes of `indices` and `updates`: instead of checking that the shape of `indices` is a prefix of the shape of `updates` (so that broadcasting can happen), code only checks that the number of elements in these two tensors are in a divisibility relationship. We have patched the issue in GitHub commit 01cff3f986259d661103412a20745928c727326f. 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 products
| Vendor | Product | Affected | Fixed |
|---|---|---|---|
| tensorflow | tensorflow | >= 2.5.0, < 2.5.1, >= 2.4.0, < 2.4.3, < 2.3.4 | — |
Fixed in Linux distributions
Distributions backport fixes, so the version that fixes this vulnerability differs per release — upgrade to at least the version shown. From the distributions' security trackers and advisories.
SUSE
Security tracker ↗| Release | Package | Fixed in | Advisory |
|---|---|---|---|
| SUSE Package Hub 15 SP3 | bazel-skylib1.0.3 | 1.0.3-bp153.2.1 | openSUSE-SU-2022:10014-1 |
| SUSE Package Hub 15 SP3 | bazel3.7 | 3.7.2-bp153.4.1 | openSUSE-SU-2022:10014-1 |
| SUSE Package Hub 15 SP3 | tensorflow2 +3 | 2.6.0-bp153.2.3.1 | openSUSE-SU-2022:10014-1 |
openSUSE
Security tracker ↗| Release | Package | Fixed in | Advisory |
|---|---|---|---|
| openSUSE Leap 15.3 | bazel-skylib1.0.3 | 1.0.3-bp153.2.1 | openSUSE-SU-2022:10014-1 |
| openSUSE Leap 15.3 | bazel3.7 | 3.7.2-bp153.4.1 | openSUSE-SU-2022:10014-1 |
| openSUSE Leap 15.3 | tensorflow2 +3 | 2.6.0-bp153.2.3.1 | openSUSE-SU-2022:10014-1 |
Affected packages
| Ecosystem | Package | Affected | Fixed | Record |
|---|---|---|---|---|
| PyPI | tensorflow | < 2.3.4 | 2.3.4 | GHSA-7fvx-3jfc-2cpc |
| PyPI | tensorflow | >= 2.4.0, < 2.4.3 | 2.4.3 | GHSA-7fvx-3jfc-2cpc |
| PyPI | tensorflow | >= 2.5.0, < 2.5.1 | 2.5.1 | GHSA-7fvx-3jfc-2cpc |
| PyPI | tensorflow | >= 2.3.0, < 2.3.4 · >= 2.4.0, < 2.4.3 | 2.3.4, 2.4.3 | PYSEC-2021-277 |
| PyPI | tensorflow-cpu | < 2.3.4 | 2.3.4 | GHSA-7fvx-3jfc-2cpc |
| PyPI | tensorflow-cpu | >= 2.4.0, < 2.4.3 | 2.4.3 | GHSA-7fvx-3jfc-2cpc |
| PyPI | tensorflow-cpu | >= 2.5.0, < 2.5.1 | 2.5.1 | GHSA-7fvx-3jfc-2cpc |
| PyPI | tensorflow-cpu | >= 2.3.0, < 2.3.4 · >= 2.4.0, < 2.4.3 | 2.3.4, 2.4.3 | PYSEC-2021-568 |
| PyPI | tensorflow-gpu | < 2.3.4 | 2.3.4 | GHSA-7fvx-3jfc-2cpc |
| PyPI | tensorflow-gpu | >= 2.4.0, < 2.4.3 | 2.4.3 | GHSA-7fvx-3jfc-2cpc |
| PyPI | tensorflow-gpu | >= 2.5.0, < 2.5.1 | 2.5.1 | GHSA-7fvx-3jfc-2cpc |
| PyPI | tensorflow-gpu | >= 2.3.0, < 2.3.4 · >= 2.4.0, < 2.4.3 | 2.3.4, 2.4.3 | PYSEC-2021-766 |
Advisories 1
- openSUSE-SU-2022:10014-1 Security update for tensorflow2 SUSE / openSUSE Security Updates · Feb 4, 2026