Home/CVE/In Tensorflow before version 2.4.0, when the `boxes` argument of `tf.image.crop_and_resize` has a very large value, the
CVE

CVE-2020-15266

In Tensorflow before version 2.4.0, when the `boxes` argument of `tf.image.crop_and_resize` has a very large value, the

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.

LOW · CVSS 3.7 EPSS 0.00129
Schedule remediation
  • Public exploit or PoC is available
Sigma rules0 YARA rules0
⬡

Weakness Classification

CWE-119Improper Restriction of Operations within the Bounds of a Memory Buffer
CWE-119Improper Restriction of Operations within the Bounds of a Memory Buffer
▤

Affected Products & Versions

1
google tensorflow< 2.4.0
▤

Affected Packages

3
Language-ecosystem packages (from OSV) tied to this CVE, with the version that fixes it - the dependency-level detail NVD doesn’t carry.
PyPI tensorflow MODERATE fixed in 2.4.0
PyPI tensorflow-cpu MODERATE fixed in 2.4.0
PyPI tensorflow-gpu MODERATE fixed in 2.4.0
⚠

Public Exploits & PoCs

1
pocgithub.com · 42129github.com
▣

Scoring & Timeline

3.7
LOW · CVSS v3.1 · security-advisories@github.com
View on NVD
Attack Vector
Network Adjacent Local Physical
Attack Complexity
Low High
Privileges Required
None Low High
User Interaction
None Required
Scope
Unchanged Changed
Confidentiality
None Low High
Integrity
None Low High
Availability
None Low High
Published to NVD21 Oct 2020 · 09:15 PM
CVSS VectorCVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:L
🔗

References & Sources

2
Source URLs (vendor pages, mailing lists, write-ups). Exploit/PoC links are in their own section above to avoid duplication.
https://github.com/tensorflow/tensorflow/pull/42143/commits/3ade2efec2e90c6237de32a19680caaa3ebc2845PatchThird Party Advisory
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xwhf-g6j5-j5gcPatchThird Party Advisory
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