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CVE-2020-15208Data corruption 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, 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.

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-2020-15208, by who scored it
Scored byCVSSScoreVector
GitHub_MCNA (assigner)3.1High7.4CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:N
NVDNVD · Modified3.1Critical9.8CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
EPSS (exploitation in 30 days)
0.91% · top 40% of all CVEs (13 Nov 2026)
Loading the EPSS history…

The list uses the assigner's score when there is one, then CISA's, then NVD's: High 7.4.

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.

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Record last updated .