Low severity3.7NVD Advisory· Published Oct 21, 2020· Updated Jun 17, 2026
CVE-2020-15266
CVE-2020-15266
Description
In Tensorflow before version 2.4.0, when the boxes argument of tf.image.crop_and_resize has a very large value, the CPU kernel implementation receives it as a C++ nan floating point value. Attempting to operate on this is undefined behavior which later produces a segmentation fault. The issue is patched in eccb7ec454e6617738554a255d77f08e60ee0808 and TensorFlow 2.4.0 will be released containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved.
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 | < 2.4.0 | 2.4.0 |
tensorflow-cpuPyPI | < 2.4.0 | 2.4.0 |
tensorflow-gpuPyPI | < 2.4.0 | 2.4.0 |
Affected products
6- osv-coords4 versions
< 2.4.0+ 3 more
- (no CPE)range: < 2.4.0
- (no CPE)range: < 2.4.0
- (no CPE)range: < 2.4.0
- (no CPE)range: < 2.4.0
- Range: < 2.4.0
Patches
Vulnerability mechanics
References
8- github.com/tensorflow/tensorflow/pull/42143/commits/3ade2efec2e90c6237de32a19680caaa3ebc2845nvdPatchThird Party AdvisoryWEB
- github.com/tensorflow/tensorflow/security/advisories/GHSA-xwhf-g6j5-j5gcnvdPatchThird Party AdvisoryWEB
- github.com/tensorflow/tensorflow/issues/42129nvdExploitPatchThird Party AdvisoryWEB
- github.com/advisories/GHSA-xwhf-g6j5-j5gcghsaADVISORY
- nvd.nist.gov/vuln/detail/CVE-2020-15266ghsaADVISORY
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2020-296.yamlghsaWEB
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2020-331.yamlghsaWEB
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2020-139.yamlghsaWEB
News mentions
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