CVE & CISA-KEV Catalog

CVE-2020-15210

MEDIUM
6.5
CVSS v3
NVD

Description

In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, if a TFLite saved model uses the same tensor as both input and output of an operator, then, depending on the operator, we can observe a segmentation fault or just memory corruption. We have patched the issue in d58c96946b and will release patch releases for all versions between 1.15 and 2.3. We recommend users to upgrade to TensorFlow 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.

How to fix

Remediation Available
tensorflowNVD
Affected:>= 2.3.0, < 2.3.1Fixed in:2.3.1CVE-2020-15210derived 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
IntegrityLow
AvailabilityHigh

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

Exploit Intelligence

0.73%probability of exploitation in 30 days
50thpercentile

Moderate risk: more likely to be exploited than 50% of all known CVEs.

References

Exploit1
Third-Party Advisory2

Related Vulnerabilities

Other CWE-20 (Improper Input Validation) vulnerabilities, ordered by exploit likelihood. View all

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CVE-2021-21985Critical9.8100%KEV + RansomFix
CVE-2018-7600Critical9.8100%KEV + RansomFix
CVE-2020-3452High7.5100%KEVFix
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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.