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CVE-2021-29598

Division by zero in TFLite's implementation of `SVDF`

2.5 LowFix available

TensorFlow is an end-to-end open source platform for machine learning. The implementation of the SVDF TFLite operator is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/7f283ff806b2031f407db64c4d3edcda8fb9f9f5/tensorflow/lite/kernels/svdf.cc#L99-L102). An attacker can craft a model such that params->rank would be 0. 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.

Attack profile

How easy it is to exploit

Attack vector
Local
Complexity
High
Privileges needed
Low
User interaction
None

What an attacker can affect

Confidentiality
None
Integrity
None
Availability
Low

Exploit likelihood

0.20%Down 0.4 points since May 15, 2021
90%50%10%1%

What each source reports

CVE List Score used 2.5

Division by zero in TFLite's implementation of `SVDF`

TensorFlow is an end-to-end open source platform for machine learning. The implementation of the SVDF TFLite operator is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/7f283ff806b2031f407db64c4d3edcda8fb9f9f5/tensorflow/lite/kernels/svdf.cc#L99-L102). An attacker can craft a model such that params->rank would be 0. 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.

Record
CVE-2021-29598
CVSS 3.1
2.5 LowCVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L
Weakness
CWE-369
Updated
2026-11-02
EUVDEUVD-2021-0339 2.5

TensorFlow is an end-to-end open source platform for machine learning. The implementation of the SVDF TFLite operator is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/7f283ff806b2031f407db64c4d3edcda8fb9f9f5/tensorflow/lite/kernels/svdf.cc#L99-L102). An attacker can craft a model such that params->rank would be 0. 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.

Record
EUVD-2021-0339
CVSS 3.1
2.5 LowCVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L
Updated
2026-11-03
GitHub AdvisoriesGHSA-pmpr-55fj-r229 2.0

Division by zero in TFLite's implementation of `SVDF`

Impact

The implementation of the SVDF TFLite operator is vulnerable to a division by zero error:

const int rank = params->rank;
...
TF_LITE_ENSURE_EQ(context, num_filters % rank, 0);

An attacker can craft a model such that params->rank would be 0.

Patches

We have patched the issue in GitHub commit 6841e522a3e7d48706a02e8819836e809f738682.

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.

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.

Record
GHSA-pmpr-55fj-r229
CVSS 4.0
2.0 LowCVSS:4.0/AV:L/AC:L/AT:P/PR:L/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N
CVSS 3.1
2.5 LowCVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L
Weakness
CWE-369
Updated
2026-11-02
NVD 2.5

TensorFlow is an end-to-end open source platform for machine learning. The implementation of the SVDF TFLite operator is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/7f283ff806b2031f407db64c4d3edcda8fb9f9f5/tensorflow/lite/kernels/svdf.cc#L99-L102). An attacker can craft a model such that params->rank would be 0. 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.

Record
CVE-2021-29598
CVSS 3.1
2.5 LowCVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L
CVSS 3.1
7.8 HighCVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
CVSS 2.0
4.6 MediumAV:L/AC:L/Au:N/C:P/I:P/A:P
Weakness
CWE-369
Updated
2026-11-02
OSV 7.8

TensorFlow is an end-to-end open source platform for machine learning. The implementation of the SVDF TFLite operator is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/7f283ff806b2031f407db64c4d3edcda8fb9f9f5/tensorflow/lite/kernels/svdf.cc#L99-L102). An attacker can craft a model such that params->rank would be 0. 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.

Record
CVE-2021-29598
CVSS 3.1
7.8 HighCVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Updated
2026-11-02
OSVGHSA-pmpr-55fj-r229 2.0

Division by zero in TFLite's implementation of `SVDF`

Impact

The implementation of the SVDF TFLite operator is vulnerable to a division by zero error:

const int rank = params->rank;
...
TF_LITE_ENSURE_EQ(context, num_filters % rank, 0);

An attacker can craft a model such that params->rank would be 0.

Patches

We have patched the issue in GitHub commit 6841e522a3e7d48706a02e8819836e809f738682.

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.

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.

Record
GHSA-pmpr-55fj-r229
CVSS 4.0
2.0 LowCVSS:4.0/AV:L/AC:L/AT:P/PR:L/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N
CVSS 3.1
2.5 LowCVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L
Weakness
CWE-369
Updated
2026-11-02
Show 4 moreShow less
OSVBIT-tensorflow-2021-29598 No score

Division by zero in TFLite's implementation of `SVDF`

TensorFlow is an end-to-end open source platform for machine learning. The implementation of the SVDF TFLite operator is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/7f283ff806b2031f407db64c4d3edcda8fb9f9f5/tensorflow/lite/kernels/svdf.cc#L99-L102). An attacker can craft a model such that params->rank would be 0. 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.

Record
BIT-tensorflow-2021-29598
Updated
2026-11-02
OSVPYSEC-2021-235 No score

TensorFlow is an end-to-end open source platform for machine learning. The implementation of the SVDF TFLite operator is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/7f283ff806b2031f407db64c4d3edcda8fb9f9f5/tensorflow/lite/kernels/svdf.cc#L99-L102). An attacker can craft a model such that params->rank would be 0. 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.

Record
PYSEC-2021-235
Updated
2026-11-02
OSVPYSEC-2021-526 No score

TensorFlow is an end-to-end open source platform for machine learning. The implementation of the SVDF TFLite operator is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/7f283ff806b2031f407db64c4d3edcda8fb9f9f5/tensorflow/lite/kernels/svdf.cc#L99-L102). An attacker can craft a model such that params->rank would be 0. 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.

Record
PYSEC-2021-526
Updated
2026-11-02
OSVPYSEC-2021-724 No score

TensorFlow is an end-to-end open source platform for machine learning. The implementation of the SVDF TFLite operator is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/7f283ff806b2031f407db64c4d3edcda8fb9f9f5/tensorflow/lite/kernels/svdf.cc#L99-L102). An attacker can craft a model such that params->rank would be 0. 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.

Record
PYSEC-2021-724
Updated
2026-11-02

Affected products

Affected packages

Affected packages
PackageAffectedFixed
tensorflow
PyPI
 before 2.1.4
2.1.4
tensorflow
PyPI
 2.2.0 up to 2.2.3
2.2.3
tensorflow
PyPI
 2.3.0 up to 2.3.3
2.3.3
tensorflow
PyPI
 2.4.0 up to 2.4.2
2.4.2
tensorflow-cpu
PyPI
 before 2.1.4
2.1.4
tensorflow-cpu
PyPI
 2.2.0 up to 2.2.3
2.2.3
tensorflow-cpu
PyPI
 2.3.0 up to 2.3.3
2.3.3
tensorflow-cpu
PyPI
 2.4.0 up to 2.4.2
2.4.2
tensorflow-gpu
PyPI
 before 2.1.4
2.1.4
tensorflow-gpu
PyPI
 2.2.0 up to 2.2.3
2.2.3
Show 18 moreShow less
Affected packages
PackageAffectedFixed
tensorflow-gpu
PyPI
 2.3.0 up to 2.3.3
2.3.3
tensorflow-gpu
PyPI
 2.4.0 up to 2.4.2
2.4.2
tensorflow
Bitnami
 before 2.1.4, 2.2.0 up to 2.2.3, 2.3.0 up to 2.3.3, 2.4.0 up to 2.4.2
2.1.42.2.32.3.32.4.2
tensorflow
PyPI
 before 2.1.4, plus listed versions
0.12.00.12.11.0.01.0.11.1.0
Show 35 moreShow less
1.10.01.10.11.11.01.12.01.12.21.12.31.13.11.13.21.14.01.15.01.15.21.15.31.15.41.15.51.2.01.2.11.3.01.4.01.4.11.5.01.5.11.6.01.7.01.7.11.8.01.9.02.0.02.0.12.0.22.0.32.0.42.1.02.1.12.1.22.1.3
2.1.4
tensorflow
PyPI
 2.2.0 up to 2.2.3, plus listed versions
2.2.12.2.2
2.2.3
tensorflow
PyPI
 2.3.0 up to 2.3.3, plus listed versions
2.3.12.3.2
2.3.3
tensorflow
PyPI
 2.4.0 up to 2.4.2, plus listed versions
2.4.1
2.4.2
tensorflow-cpu
PyPI
 before 2.1.4, plus listed versions
1.15.02.1.02.1.12.1.22.1.3
2.1.4
tensorflow-cpu
PyPI
 2.2.0 up to 2.2.3, plus listed versions
2.2.12.2.2
2.2.3
tensorflow-cpu
PyPI
 2.3.0 up to 2.3.3, plus listed versions
2.3.12.3.2
2.3.3
tensorflow-cpu
PyPI
 2.4.0 up to 2.4.2, plus listed versions
2.4.1
2.4.2
tensorflow-gpu
PyPI
 before 2.1.4, plus listed versions
0.12.00.12.11.0.01.0.11.1.0
Show 35 moreShow less
1.10.01.10.11.11.01.12.01.12.21.12.31.13.11.13.21.14.01.15.01.15.21.15.31.15.41.15.51.2.01.2.11.3.01.4.01.4.11.5.01.5.11.6.01.7.01.7.11.8.01.9.02.0.02.0.12.0.22.0.32.0.42.1.02.1.12.1.22.1.3
2.1.4
tensorflow-gpu
PyPI
 2.2.0 up to 2.2.3, plus listed versions
2.2.12.2.2
2.2.3
tensorflow-gpu
PyPI
 2.3.0 up to 2.3.3, plus listed versions
2.3.12.3.2
2.3.3
tensorflow-gpu
PyPI
 2.4.0 up to 2.4.2, plus listed versions
2.4.1
2.4.2
tensorflow
PyPI
 before 2.1.4, 2.2.0 up to 2.2.3, 2.3.0 up to 2.3.3, 2.4.0 up to 2.4.2, plus listed versions
0.12.00.12.0rc00.12.0rc10.12.11.0.0
Show 45 moreShow less
1.0.11.1.01.1.0rc01.1.0rc11.1.0rc21.10.01.10.0rc01.10.0rc11.10.11.11.01.11.0rc01.11.0rc11.11.0rc21.12.01.12.0rc01.12.0rc11.12.0rc21.12.21.12.31.13.0rc01.13.0rc11.13.0rc21.13.11.13.21.14.01.14.0rc01.14.0rc11.15.01.15.0rc01.15.0rc11.15.0rc21.15.0rc31.15.21.15.31.15.41.15.51.2.01.2.0rc01.2.0rc11.2.0rc21.2.11.3.01.3.0rc01.3.0rc11.3.0rc2
2.1.42.2.32.3.32.4.2
tensorflow-cpu
PyPI
 before 2.1.4, 2.2.0 up to 2.2.3, 2.3.0 up to 2.3.3, 2.4.0 up to 2.4.2, plus listed versions
1.15.02.1.02.1.12.1.22.1.3
Show 5 moreShow less
2.2.12.2.22.3.12.3.22.4.1
2.1.42.2.32.3.32.4.2
tensorflow-gpu
PyPI
 before 2.1.4, 2.2.0 up to 2.2.3, 2.3.0 up to 2.3.3, 2.4.0 up to 2.4.2, plus listed versions
0.12.00.12.11.0.01.0.11.1.0
Show 40 moreShow less
1.10.01.10.11.11.01.12.01.12.21.12.31.13.11.13.21.14.01.15.01.15.21.15.31.15.41.15.51.2.01.2.11.3.01.4.01.4.11.5.01.5.11.6.01.7.01.7.11.8.01.9.02.0.02.0.12.0.22.0.32.0.42.1.02.1.12.1.22.1.32.2.12.2.22.3.12.3.22.4.1
2.1.42.2.32.3.32.4.2

History

History
RecordedChangedSources
aliasesEUVD
first indexedCVE List, GitHub Advisories, NVD, OSV

Dates are when Every CVE recorded each change. Upstream dates may differ.

In short

CVE-2021-29598 is a low vulnerability (CVSS 2.5) in Google Tensorflow, published May 14, 2021. No source lists public exploit code. EPSS puts the chance of exploitation in the next 30 days at 0.20%, the 10th percentile. Fixed in tensorflow 2.1.4.

References

This page doesn't list everything

Left out here: 45 versions. The JSON record has them.

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