CVE & CISA-KEV Catalog

CVE-2020-15266

LOW
3.7
CVSS v3
NVD

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.

How to fix

Remediation Available
tensorflowNVD
Affected:< 2.4.0Fixed in:2.4.0CVE-2020-15266derived from NVD

Remediation is compiled from vendor and distribution security advisories. Always confirm against the linked source for your exact version and platform.

CVSS v3 Vector

Exploitability

Attack VectorNetwork
Attack ComplexityHigh
Privileges RequiredNone
User InteractionNone
ScopeUnchanged

Impact

ConfidentialityNone
IntegrityNone
AvailabilityLow

CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:L

Exploit Intelligence

0.92%probability of exploitation in 30 days
56thpercentile

Moderate risk: more likely to be exploited than 56% of all known CVEs.

References

Related Vulnerabilities

Other CWE-119 (Buffer Overflow) vulnerabilities, ordered by exploit likelihood. View all

CVESeverityCVSSEPSSExploitedFix
CVE-2023-4966Critical9.4100%KEV + RansomFix
CVE-2017-11882High7.8100%KEV + Ransom-
CVE-2020-0796Critical10.0100%KEV + Ransom-
CVE-2008-4250Critical9.899%KEV-
CVE-2017-15944Critical9.898%KEVFix
CVE-2015-0014High10.097%--
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This product uses NVD data but is not endorsed or certified by the NVD. EPSS scores courtesy of FIRST.org (https://www.first.org/epss). Source: CISA KEV Catalog. Data as of 2024-11-21.