Vulnerability Monitor

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CVE-2020-15210

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.

Security Impact Summary

This vulnerability carries a MEDIUM severity rating with a CVSS v3.1 score of 6.5, indicating it can be exploited remotely over the network but requires specific conditions to be met without requiring user interaction and does not require pre-existing privileges . The vulnerability impacts limited integrity, and availability (service disruption) for affected systems. Impacting 2 products from google, from opensuse organizations running these solutions should prioritize assessment and patching.

Historical Context

Reported in 2020, this vulnerability emerged during an era marked by increased sophistication in supply chain attacks, cloud infrastructure vulnerabilities, and software-as-a-service (SaaS) security challenges. Security practices during this period emphasized zero-trust architectures, container security, and API protection.

Published

2020-09-25T19:15:16.307

Last Modified

2026-06-17T02:56:16.467

Status

Modified

Source

[email protected]

Severity

CVSSv3.1: 6.5 (MEDIUM)

CVSSv2 Vector

AV:N/AC:M/Au:N/C:N/I:P/A:P

Access Vector: NETWORK
Access Complexity: MEDIUM
Authentication: NONE
Confidentiality Impact: NONE
Integrity Impact: PARTIAL
Availability Impact: PARTIAL

Exploitability Score

8.6

Impact Score

4.9

Weaknesses

Type: Secondary
CWE-20
Type: Primary
CWE-787

Affected Vendors & Products

Type	Vendor	Product	Version/Range	Vulnerable?
Application	google	tensorflow	< 1.15.4	Yes
Application	google	tensorflow	< 2.0.3	Yes
Application	google	tensorflow	< 2.1.2	Yes
Application	google	tensorflow	< 2.2.1	Yes
Application	google	tensorflow	< 2.3.1	Yes
Operating System	opensuse	leap	15.2	Yes

References

http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.html Mailing List, Third Party Advisory ([email protected])
https://github.com/tensorflow/tensorflow/commit/d58c96946b2880991d63d1dacacb32f0a4dfa453 Patch, Third Party Advisory ([email protected])
https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1 Third Party Advisory ([email protected])
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-x9j7-x98r-r4w2 Exploit, Third Party Advisory ([email protected])
http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.html Mailing List, Third Party Advisory (af854a3a-2127-422b-91ae-364da2661108)
https://github.com/tensorflow/tensorflow/commit/d58c96946b2880991d63d1dacacb32f0a4dfa453 Patch, Third Party Advisory (af854a3a-2127-422b-91ae-364da2661108)
https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1 Third Party Advisory (af854a3a-2127-422b-91ae-364da2661108)
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-x9j7-x98r-r4w2 Exploit, Third Party Advisory (af854a3a-2127-422b-91ae-364da2661108)

How SecUtils Interprets This CVE

SecUtils normalizes and enriches National Vulnerability Database (NVD) records by standardizing vendor and product identifiers, aggregating vulnerability metadata from both NVD and MITRE sources, and providing structured context for security teams. For google's affected products, we extract Common Platform Enumeration (CPE) data, Common Weakness Enumeration (CWE) classifications, CVSS severity metrics, and reference data to enable rapid vulnerability prioritization and asset correlation. This record contains no exploit code, proof-of-concept instructions, or attack methodologies—only defensive intelligence necessary for patch management, risk assessment, and security operations.