Segfault and heap buffer overflow in `{Experimental,}DatasetToTFRecord` in TensorFlow
Description
TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation for tf.raw_ops.ExperimentalDatasetToTFRecord and tf.raw_ops.DatasetToTFRecord can trigger heap buffer overflow and segmentation fault. The implementation assumes that all records in the dataset are of string type. However, there is no check for that, and the example given above uses numeric types. We have patched the issue in GitHub commit e0b6e58c328059829c3eb968136f17aa72b6c876. 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.
AI Insight
LLM-synthesized narrative grounded in this CVE's description and references.
Affected packages
Versions sourced from the GitHub Security Advisory.
| Package | Affected versions | Patched versions |
|---|---|---|
tensorflowPyPI | < 2.3.4 | 2.3.4 |
tensorflowPyPI | >= 2.4.0, < 2.4.3 | 2.4.3 |
tensorflowPyPI | >= 2.5.0, < 2.5.1 | 2.5.1 |
tensorflow-cpuPyPI | < 2.3.4 | 2.3.4 |
tensorflow-cpuPyPI | >= 2.4.0, < 2.4.3 | 2.4.3 |
tensorflow-cpuPyPI | >= 2.5.0, < 2.5.1 | 2.5.1 |
tensorflow-gpuPyPI | < 2.3.4 | 2.3.4 |
tensorflow-gpuPyPI | >= 2.4.0, < 2.4.3 | 2.4.3 |
tensorflow-gpuPyPI | >= 2.5.0, < 2.5.1 | 2.5.1 |
Affected products
17- osv-coords16 versionspkg:bitnami/tensorflowpkg:pypi/tensorflowpkg:pypi/tensorflow-cpupkg:pypi/tensorflow-gpupkg:rpm/opensuse/bazel3.7&distro=openSUSE%20Leap%2015.3pkg:rpm/opensuse/bazel-skylib1.0.3&distro=openSUSE%20Leap%2015.3pkg:rpm/opensuse/tensorflow2_2_6_0-gnu-hpc&distro=openSUSE%20Leap%2015.3pkg:rpm/opensuse/tensorflow2_2_6_0-gnu-openmpi2-hpc&distro=openSUSE%20Leap%2015.3pkg:rpm/opensuse/tensorflow2&distro=openSUSE%20Leap%2015.3pkg:rpm/opensuse/tensorflow2-lite&distro=openSUSE%20Leap%2015.3pkg:rpm/suse/bazel3.7&distro=SUSE%20Package%20Hub%2015%20SP3pkg:rpm/suse/bazel-skylib1.0.3&distro=SUSE%20Package%20Hub%2015%20SP3pkg:rpm/suse/tensorflow2_2_6_0-gnu-hpc&distro=SUSE%20Package%20Hub%2015%20SP3pkg:rpm/suse/tensorflow2_2_6_0-gnu-openmpi2-hpc&distro=SUSE%20Package%20Hub%2015%20SP3pkg:rpm/suse/tensorflow2&distro=SUSE%20Package%20Hub%2015%20SP3pkg:rpm/suse/tensorflow2-lite&distro=SUSE%20Package%20Hub%2015%20SP3
>= 2.3.0, < 2.3.4+ 15 more
- (no CPE)range: >= 2.3.0, < 2.3.4
- (no CPE)range: < 2.3.4
- (no CPE)range: < 2.3.4
- (no CPE)range: < 2.3.4
- (no CPE)range: < 3.7.2-bp153.4.1
- (no CPE)range: < 1.0.3-bp153.2.1
- (no CPE)range: < 2.6.0-bp153.2.3.1
- (no CPE)range: < 2.6.0-bp153.2.3.1
- (no CPE)range: < 2.6.0-bp153.2.3.1
- (no CPE)range: < 2.6.0-bp153.2.3.1
- (no CPE)range: < 3.7.2-bp153.4.1
- (no CPE)range: < 1.0.3-bp153.2.1
- (no CPE)range: < 2.6.0-bp153.2.3.1
- (no CPE)range: < 2.6.0-bp153.2.3.1
- (no CPE)range: < 2.6.0-bp153.2.3.1
- (no CPE)range: < 2.6.0-bp153.2.3.1
- Range: >= 2.5.0, < 2.5.1
Patches
Vulnerability mechanics
References
7- github.com/advisories/GHSA-f8h4-7rgh-q2gmghsaADVISORY
- nvd.nist.gov/vuln/detail/CVE-2021-37650ghsaADVISORY
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-563.yamlghsaWEB
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-761.yamlghsaWEB
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-272.yamlghsaWEB
- github.com/tensorflow/tensorflow/commit/e0b6e58c328059829c3eb968136f17aa72b6c876ghsax_refsource_MISCWEB
- github.com/tensorflow/tensorflow/security/advisories/GHSA-f8h4-7rgh-q2gmghsax_refsource_CONFIRMWEB
News mentions
0No linked articles in our index yet.