Description
TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can generate undefined behavior via a reference binding to nullptr in `BoostedTreesCalculateBestGainsPerFeature` and similar attack can occur in `BoostedTreesCalculateBestFeatureSplitV2`. The [implementation](https://github.com/tensorflow/tensorflow/blob/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/boosted_trees/stats_ops.cc) does not validate the input values. We have patched the issue in GitHub commit 9c87c32c710d0b5b53dc6fd3bfde4046e1f7a5ad and in commit 429f009d2b2c09028647dd4bb7b3f6f414bbaad7. 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-f5cx-5wr3-5qrc |
| PyPI | tensorflow | >= 2.4.0, < 2.4.3 | 2.4.3 | GHSA-f5cx-5wr3-5qrc |
| PyPI | tensorflow | >= 2.5.0, < 2.5.1 | 2.5.1 | GHSA-f5cx-5wr3-5qrc |
| PyPI | tensorflow | >= 2.3.0, < 2.3.4 · >= 2.4.0, < 2.4.3 | 2.3.4, 2.4.3 | PYSEC-2021-284 |
| PyPI | tensorflow-cpu | < 2.3.4 | 2.3.4 | GHSA-f5cx-5wr3-5qrc |
| PyPI | tensorflow-cpu | >= 2.4.0, < 2.4.3 | 2.4.3 | GHSA-f5cx-5wr3-5qrc |
| PyPI | tensorflow-cpu | >= 2.5.0, < 2.5.1 | 2.5.1 | GHSA-f5cx-5wr3-5qrc |
| PyPI | tensorflow-cpu | >= 2.3.0, < 2.3.4 · >= 2.4.0, < 2.4.3 | 2.3.4, 2.4.3 | PYSEC-2021-575 |
| PyPI | tensorflow-gpu | < 2.3.4 | 2.3.4 | GHSA-f5cx-5wr3-5qrc |
| PyPI | tensorflow-gpu | >= 2.4.0, < 2.4.3 | 2.4.3 | GHSA-f5cx-5wr3-5qrc |
| PyPI | tensorflow-gpu | >= 2.5.0, < 2.5.1 | 2.5.1 | GHSA-f5cx-5wr3-5qrc |
| PyPI | tensorflow-gpu | >= 2.3.0, < 2.3.4 · >= 2.4.0, < 2.4.3 | 2.3.4, 2.4.3 | PYSEC-2021-773 |
Advisories 1
- openSUSE-SU-2022:10014-1 Security update for tensorflow2 SUSE / openSUSE Security Updates · Feb 4, 2026