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CVE-2021-29566Heap OOB access in `Dilation2DBackpropInput`

Description

TensorFlow is an end-to-end open source platform for machine learning. An attacker can write outside the bounds of heap allocated arrays by passing invalid arguments to `tf.raw_ops.Dilation2DBackpropInput`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/afd954e65f15aea4d438d0a219136fc4a63a573d/tensorflow/core/kernels/dilation_ops.cc#L321-L322) does not validate before writing to the output array. The values for `h_out` and `w_out` are guaranteed to be in range for `out_backprop` (as they are loop indices bounded by the size of the array). However, there are no similar guarantees relating `h_in_max`/`w_in_max` and `in_backprop`. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

Timeline

  1. ID reserved

    By GitHub_M

  2. · 45 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-2021-29566, by who scored it
Scored byCVSSScoreVector
GitHub_MCNA (assigner)3.1Low2.5CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L
NVDNVD · Modified3.1High7.8CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
EPSS (exploitation in 30 days)
0.20% · top 90% 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: Low 2.5.

Affected products

  • tensorflow · tensorflow

    • affected < 2.1.4
    • affected >= 2.2.0, < 2.2.3
    • affected >= 2.3.0, < 2.3.3
    • affected >= 2.4.0, < 2.4.2

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.

Badge for a README or a ticket

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Record last updated .