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CVE-2021-41211Heap OOB read in shape inference for `QuantizeV2`

Description

TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for `QuantizeV2` can trigger a read outside of bounds of heap allocated array. This occurs whenever `axis` is a negative value less than `-1`. In this case, we are accessing data before the start of a heap buffer. The code allows `axis` to be an optional argument (`s` would contain an `error::NOT_FOUND` error code). Otherwise, it assumes that `axis` is a valid index into the dimensions of the `input` tensor. If `axis` is less than `-1` then this results in a heap OOB read. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, as this version is the only one that is also affected.

Timeline

  1. ID reserved

    By GitHub_M

  2. · 51 days later

    Published

  3. · 3 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-2021-41211, by who scored it
Scored byCVSSScoreVector
GitHub_MCNA (assigner)3.1High7.1CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H
NVDNVD · Modified3.1High7.1CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H
EPSS (exploitation in 30 days)
0.21% · top 89% of all CVEs (13 Nov 2026)
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The list uses the assigner's score when there is one, then CISA's, then NVD's: High 7.1.

Affected products

Affected packages

From reviewed advisories of the GitHub Advisory Database.

References

References2

Sources

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

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Record last updated .