Null pointer dereference in TensorFlow Lite MLIR optimizations
Description
TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can craft a TFLite model that would trigger a null pointer dereference, which would result in a crash and denial of service. This is caused by the MLIR optimization of L2NormalizeReduceAxis operator. The implementation unconditionally dereferences a pointer to an iterator to a vector without checking that the vector has elements. We have patched the issue in GitHub commit d6b57f461b39fd1aa8c1b870f1b974aac3554955. 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
8- github.com/advisories/GHSA-wf5p-c75w-w3whghsaADVISORY
- nvd.nist.gov/vuln/detail/CVE-2021-37689ghsaADVISORY
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-602.yamlghsaWEB
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-800.yamlghsaWEB
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-311.yamlghsaWEB
- github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/compiler/mlir/lite/transforms/optimize.ccghsaWEB
- github.com/tensorflow/tensorflow/commit/d6b57f461b39fd1aa8c1b870f1b974aac3554955ghsax_refsource_MISCWEB
- github.com/tensorflow/tensorflow/security/advisories/GHSA-wf5p-c75w-w3whghsax_refsource_CONFIRMWEB
News mentions
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