CVE & CISA-KEV Catalog

CVE-2020-15208

HIGH
7.4
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, when determining the common dimension size of two tensors, TFLite uses a `DCHECK` which is no-op outside of debug compilation modes. Since the function always returns the dimension of the first tensor, malicious attackers can craft cases where this is larger than that of the second tensor. In turn, this would result in reads/writes outside of bounds since the interpreter will wrongly assume that there is enough data in both tensors. The issue is patched in commit 8ee24e7949a203d234489f9da2c5bf45a7d5157d, and is released in TensorFlow versions 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-2020-15208derived 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

ConfidentialityHigh
IntegrityHigh
AvailabilityNone

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

Exploit Intelligence

0.89%probability of exploitation in 30 days
55thpercentile

Moderate risk: more likely to be exploited than 55% of all known CVEs.

References

Exploit1
Third-Party Advisory2

Related Vulnerabilities

Other CWE-125 (Out-of-bounds Read) vulnerabilities, ordered by exploit likelihood. View all

CVESeverityCVSSEPSSExploitedFix
CVE-2014-0160High7.5100%KEVFix
CVE-2025-5777High7.5100%KEV + RansomFix
CVE-2021-4034High7.895%KEVFix
CVE-2023-21769High7.592%-Fix
CVE-2023-49285High8.689%-Fix
CVE-2020-8794Critical9.889%-Fix
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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.