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HIGH severity

CVE-2021-41224 — tensorflow

HIGHFix: tensorflow/tensorflow@67bfd9f

CVE-2021-41224 is a high-severity (CVSS 7.1) Out-of-bounds Read vulnerability in tensorflow. 1 public exploit reference exists, so weaponization risk is real. A fix is available for tensorflow — see the affected versions and patch details below.

`SparseFillEmptyRows` heap OOB

Also known asBIT-tensorflow-2021-41224GHSA-rg3m-hqc5-344vPYSEC-2021-416PYSEC-2021-633PYSEC-2021-831
Published
Updated
Affected
9 pkgs
Patched
9 / 9
Exploits
1 known
Exploitation data as of Oct 12, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

EPSS Exploitation Probability

via FIRST.org ↗
0.2%probability of exploitation in next 30 days
Lower Risk0.00%
Lower risk than most CVEs10th percentile — riskier than 10% of all scored CVEsHighest risk
0.00%0.24%0.47%0.71%0.0%0.2%Apr 26Aug 26Oct 26

Probability of exploitation in the next 30 days, from FIRST.org EPSS.

How urgent is this, really

CVE-2021-41224 by exploitation likelihood (EPSS) against impact (CVSS). Outside the shaded patch-first corner.

Where this sits among everything scored

Of 385,987 CVEs with a current EPSS score, this one falls in the < 10% band (highlighted). Counts from FIRST.org, log-scaled.

Real-World Exposure

9 pkgs affected
🐍tensorflow🐍tensorflow🐍tensorflow🐍tensorflow-cpu🐍tensorflow-cpu🐍tensorflow-cpu🐍tensorflow-gpu🐍tensorflow-gpu+1 more

Real-time download stats are indexed for npm and PyPI packages. This vulnerability affects PyPI packages — download data is not available via public APIs for these ecosystems.

Description

Impact

The implementation of SparseFillEmptyRows can be made to trigger a heap OOB access:

import tensorflow as tf
  
data=tf.raw_ops.SparseFillEmptyRows(
  indices=[[0,0],[0,0],[0,0]],
  values=['sssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss'],
  dense_shape=[5,3],
  default_value='o')

This occurs whenever the size of indices does not match the size of values.

Patches

We have patched the issue in GitHub commit 67bfd9feeecfb3c61d80f0e46d89c170fbee682b.

The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Attribution

This vulnerability has been reported by members of the Aivul Team from Qihoo 360.

Affected Packages

9 total 9 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPItensorflow≥ 2.6.0&&< 2.6.12.6.1pip install --upgrade 'tensorflow==2.6.1'
🐍PyPItensorflow≥ 2.5.0&&< 2.5.22.5.2pip install --upgrade 'tensorflow==2.5.2'
🐍PyPItensorflowall versions2.4.4pip install --upgrade 'tensorflow==2.4.4'
🐍PyPItensorflow-cpu≥ 2.6.0&&< 2.6.12.6.1pip install --upgrade 'tensorflow-cpu==2.6.1'
🐍PyPItensorflow-cpu≥ 2.5.0&&< 2.5.22.5.2pip install --upgrade 'tensorflow-cpu==2.5.2'
🐍PyPItensorflow-cpuall versions2.4.4pip install --upgrade 'tensorflow-cpu==2.4.4'

Affected Products

1 product · 3 configurations
Application
tensorflowgoogle
≥ 2.6.0 && < 2.6.1
range
Exploits & PoCs
1

Research use only. For defensive security, authorized penetration testing, and academic research only. Never execute exploit code against systems without explicit written authorization.

Detection & mitigation playbook

Open-source dependency
  1. Detect

    Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for tensorflow, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.

  2. Fix

    Update tensorflow to 2.6.1 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms CVE-2021-41224 is resolved across your whole dependency graph.

  3. Workarounds

    Stop feeding it untrusted input: reject or quarantine files and payloads from unverified sources until you can upgrade, restrict accepted formats to the ones you actually need, and run the parsing or decoding step in a least-privileged sandbox or short-lived worker so a crash or corrupted read cannot reach the rest of the process.

Frequently Asked Questions

### Impact The [implementation](https://github.com/tensorflow/tensorflow/blob/e71b86d47f8bc1816bf54d7bddc4170e47670b97/tensorflow/core/kernels/sparse_fill_empty_rows_op.cc#L194-L241) of `SparseFillEmptyRows` can be made to trigger a heap OOB access: ```python import tensorflow as tf data=tf.raw_ops.SparseFillEmptyRows( indices=[[0,0],[0,0],[0,0]], values=['sssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss'], dense_shape=[5,3], default_value='o') ``` This occurs whenever the size of `indices` does not match the size of `values`. ### Patches We have patched the issu
O3 Security · Impact-Aware SCA

Is CVE-2021-41224 in your dependencies?

Find it across PyPI, including transitive dependencies.

CVE-2021-41224: tensorflow — Fixed in 2.6.1