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CVE-2020-15210Segmentation fault in tensorflow-lite

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.

Timeline

  1. ID reserved

    By GitHub_M

  2. · 3 months later

    Published

  3. · 4 years later

    Record updated

Changes after publication (a new score, a public exploit, EPSS crossing 1, 10 or 50 %, leaving KEV) are kept since November 2026; earlier ones are not known.

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 (14 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.

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

References4

Sources

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

Badge for a README or a ticket

CVE-2020-15210 badge
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Record last updated .