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CVE-2021-29563

CHECK-fail in `tf.raw_ops.RFFT`

2.5 LowFix available

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a denial of service by exploiting a CHECK-failure coming from the implementation of tf.raw_ops.RFFT. Eigen code operating on an empty matrix can trigger on an assertion and will cause program termination. 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

0.19%Down 0.6 points since May 15, 2021
90%50%10%1%

What each source reports

CVE List Score used 2.5

CHECK-fail in `tf.raw_ops.RFFT`

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a denial of service by exploiting a CHECK-failure coming from the implementation of tf.raw_ops.RFFT. Eigen code operating on an empty matrix can trigger on an assertion and will cause program termination. 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-2021-29563
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-617
Updated
2026-11-02
EUVDEUVD-2021-0304 2.5

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a denial of service by exploiting a CHECK-failure coming from the implementation of tf.raw_ops.RFFT. Eigen code operating on an empty matrix can trigger on an assertion and will cause program termination. 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-2021-0304
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-ph87-fvjr-v33w 2.0

CHECK-fail in `tf.raw_ops.RFFT`

Impact

An attacker can cause a denial of service by exploiting a CHECK-failure coming from the implementation of tf.raw_ops.RFFT:

import tensorflow as tf

inputs = tf.constant([1], shape=[1], dtype=tf.float32)
fft_length = tf.constant([0], shape=[1], dtype=tf.int32)

tf.raw_ops.RFFT(input=inputs, fft_length=fft_length)

The above example causes Eigen code to operate on an empty matrix. This triggers on an assertion and causes program termination.

Patches

We have patched the issue in GitHub commit 31bd5026304677faa8a0b77602c6154171b9aec1.

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 Yakun Zhang and Ying Wang of Baidu X-Team.

Record
GHSA-ph87-fvjr-v33w
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-617
Updated
2026-11-02
NVD 2.5

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a denial of service by exploiting a CHECK-failure coming from the implementation of tf.raw_ops.RFFT. Eigen code operating on an empty matrix can trigger on an assertion and will cause program termination. 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-2021-29563
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
5.5 MediumCVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
CVSS 2.0
2.1 LowAV:L/AC:L/Au:N/C:N/I:N/A:P
Weakness
CWE-617
Updated
2026-11-02
OSV 5.5

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a denial of service by exploiting a CHECK-failure coming from the implementation of tf.raw_ops.RFFT. Eigen code operating on an empty matrix can trigger on an assertion and will cause program termination. 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-2021-29563
CVSS 3.1
5.5 MediumCVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Updated
2026-11-02
OSVGHSA-ph87-fvjr-v33w 2.0

CHECK-fail in `tf.raw_ops.RFFT`

Impact

An attacker can cause a denial of service by exploiting a CHECK-failure coming from the implementation of tf.raw_ops.RFFT:

import tensorflow as tf

inputs = tf.constant([1], shape=[1], dtype=tf.float32)
fft_length = tf.constant([0], shape=[1], dtype=tf.int32)

tf.raw_ops.RFFT(input=inputs, fft_length=fft_length)

The above example causes Eigen code to operate on an empty matrix. This triggers on an assertion and causes program termination.

Patches

We have patched the issue in GitHub commit 31bd5026304677faa8a0b77602c6154171b9aec1.

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 Yakun Zhang and Ying Wang of Baidu X-Team.

Record
GHSA-ph87-fvjr-v33w
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-617
Updated
2026-11-02
Show 4 moreShow less
OSVBIT-tensorflow-2021-29563 No score

CHECK-fail in `tf.raw_ops.RFFT`

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a denial of service by exploiting a CHECK-failure coming from the implementation of tf.raw_ops.RFFT. Eigen code operating on an empty matrix can trigger on an assertion and will cause program termination. 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-2021-29563
Updated
2026-11-02
OSVPYSEC-2021-200 No score

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a denial of service by exploiting a CHECK-failure coming from the implementation of tf.raw_ops.RFFT. Eigen code operating on an empty matrix can trigger on an assertion and will cause program termination. 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-2021-200
Updated
2026-11-02
OSVPYSEC-2021-491 No score

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a denial of service by exploiting a CHECK-failure coming from the implementation of tf.raw_ops.RFFT. Eigen code operating on an empty matrix can trigger on an assertion and will cause program termination. 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-2021-491
Updated
2026-11-02
OSVPYSEC-2021-689 No score

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a denial of service by exploiting a CHECK-failure coming from the implementation of tf.raw_ops.RFFT. Eigen code operating on an empty matrix can trigger on an assertion and will cause program termination. 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-2021-689
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 2.2.0rc0, 2.2.0 up to 2.3.0rc0, 2.3.0 up to 2.3.4, 2.4.0 up to 2.4.3, 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
2.2.0rc02.3.0rc02.3.42.4.3
tensorflow-cpu
PyPI
 before 2.2.0rc0, 2.2.0 up to 2.3.0rc0, 2.3.0 up to 2.3.4, 2.4.0 up to 2.4.3, plus listed versions
1.15.02.1.02.1.12.1.22.1.3
Show 9 moreShow less
2.1.42.2.12.2.22.2.32.3.12.3.22.3.32.4.12.4.2
2.2.0rc02.3.0rc02.3.42.4.3
tensorflow-gpu
PyPI
 before 2.2.0rc0, 2.2.0 up to 2.3.0rc0, 2.3.0 up to 2.3.4, 2.4.0 up to 2.4.3, plus listed versions
0.12.00.12.11.0.01.0.11.1.0
Show 44 moreShow less
1.10.01.10.11.11.01.12.01.12.21.12.31.13.11.13.21.14.01.15.01.15.21.15.31.15.41.15.51.2.01.2.11.3.01.4.01.4.11.5.01.5.11.6.01.7.01.7.11.8.01.9.02.0.02.0.12.0.22.0.32.0.42.1.02.1.12.1.22.1.32.1.42.2.12.2.22.2.32.3.12.3.22.3.32.4.12.4.2
2.2.0rc02.3.0rc02.3.42.4.3

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-2021-29563 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 0.19%, the 8th percentile. Fixed in tensorflow 2.1.4.

References

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Left out here: 49 versions. The JSON record has them.

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