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CVE-2020-15210

Segmentation fault in tensorflow-lite

Medium6.5EPSS 0.74%
Published
Updated
Reserved
Assigned by
GitHub_M

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.

Scores

CVSS scores of CVE-2020-15210, by who scored it
Scored byCVSSScoreVector
GitHub_MCNA (assigner)3.1Medium6.5CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:L/A:H
NVDNVD · Modified3.1Medium6.5CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:L/A:H
EPSS (exploitation in 30 days)
0.74% · top 45% of all CVEs (7 Nov 2026)
Loading the EPSS history…

The list uses the assigner's score when there is one, then CISA's, then NVD's: Medium 6.5.

Weakness

Affected products

  • tensorflow · tensorflow

    • affected < 1.15.4
    • affected >= 2.0.0, < 2.0.3
    • affected >= 2.1.0, < 2.1.2
    • affected >= 2.2.0, < 2.2.1
    • affected >= 2.3.0, < 2.3.1

Affected packages

From reviewed advisories of the GitHub Advisory Database.

References (4)

Sources

The same CVE in the primary databases and aggregators, to check against.

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Record last updated .