CVE-2022-41891
Segfault in `tf.raw_ops.TensorListConcat` in Tensorflow
TensorFlow is an open source platform for machine learning. If tf.raw_ops.TensorListConcat is given element_shape=[], it results segmentation fault which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit fc33f3dc4c14051a83eec6535b608abe1d355fde. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
Attack profile
How easy it is to exploit
- Attack vector
- Network
- Complexity
- High
- Privileges needed
- Low
- User interaction
- Required
What an attacker can affect
- Confidentiality
- None
- Integrity
- None
- Availability
- High
Exploit likelihood
What each source reports
CVE List Score used
4.8
Segfault in `tf.raw_ops.TensorListConcat` in Tensorflow
TensorFlow is an open source platform for machine learning. If tf.raw_ops.TensorListConcat is given element_shape=[], it results segmentation fault which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit fc33f3dc4c14051a83eec6535b608abe1d355fde. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
- Record
CVE-2022-41891- CVSS 3.1
- 4.8 Medium
CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H - Weakness
- CWE-20
- Updated
- 2026-11-02
EUVDEUVD-2022-7252
4.8
TensorFlow is an open source platform for machine learning. If tf.raw_ops.TensorListConcat is given element_shape=[], it results segmentation fault which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit fc33f3dc4c14051a83eec6535b608abe1d355fde. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
- Record
EUVD-2022-7252- CVSS 3.1
- 4.8 Medium
CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H - Updated
- 2026-11-02
GitHub AdvisoriesGHSA-66vq-54fq-6jvv
4.8
Segfault in `tf.raw_ops.TensorListConcat`
Impact
If tf.raw_ops.TensorListConcat is given element_shape=[], it results segmentation fault which can be used to trigger a denial of service attack.
import tensorflow as tf
tf.raw_ops.TensorListConcat(
input_handle=tf.data.experimental.to_variant(tf.data.Dataset.from_tensor_slices([1, 2, 3])),
element_dtype=tf.dtypes.float32,
element_shape=[]
)
Patches
We have patched the issue in GitHub commit fc33f3dc4c14051a83eec6535b608abe1d355fde.
The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, 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 Tong Liu, ShanghaiTech University
- Record
GHSA-66vq-54fq-6jvv- CVSS 3.1
- 4.8 Medium
CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H - Weakness
- CWE-20
- Updated
- 2026-11-02
NVD
4.8
TensorFlow is an open source platform for machine learning. If tf.raw_ops.TensorListConcat is given element_shape=[], it results segmentation fault which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit fc33f3dc4c14051a83eec6535b608abe1d355fde. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
- Record
CVE-2022-41891- CVSS 3.1
- 4.8 Medium
CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H - CVSS 3.1
- 7.5 High
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H - Weakness
- CWE-20
- Updated
- 2026-11-02
OSVAZL-11530
7.5
CVE-2022-41891 affecting package tensorflow for versions less than 2.11.0-1
TensorFlow is an open source platform for machine learning. If tf.raw_ops.TensorListConcat is given element_shape=[], it results segmentation fault which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit fc33f3dc4c14051a83eec6535b608abe1d355fde. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
- Record
AZL-11530- CVSS 3.1
- 7.5 High
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H - Updated
- 2026-11-02
OSV
4.8
Segfault in `tf.raw_ops.TensorListConcat` in Tensorflow
TensorFlow is an open source platform for machine learning. If tf.raw_ops.TensorListConcat is given element_shape=[], it results segmentation fault which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit fc33f3dc4c14051a83eec6535b608abe1d355fde. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
- Record
CVE-2022-41891- CVSS 3.1
- 4.8 Medium
CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H - Weakness
- CWE-20
- Updated
- 2026-11-02
Show 5 moreShow less
OSVGHSA-66vq-54fq-6jvv
4.8
Segfault in `tf.raw_ops.TensorListConcat`
Impact
If tf.raw_ops.TensorListConcat is given element_shape=[], it results segmentation fault which can be used to trigger a denial of service attack.
import tensorflow as tf
tf.raw_ops.TensorListConcat(
input_handle=tf.data.experimental.to_variant(tf.data.Dataset.from_tensor_slices([1, 2, 3])),
element_dtype=tf.dtypes.float32,
element_shape=[]
)
Patches
We have patched the issue in GitHub commit fc33f3dc4c14051a83eec6535b608abe1d355fde.
The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, 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 Tong Liu, ShanghaiTech University
- Record
GHSA-66vq-54fq-6jvv- CVSS 3.1
- 4.8 Medium
CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H - Weakness
- CWE-20
- Updated
- 2026-11-02
OSVPYSEC-2026-3117
4.8
Segfault in `tf.raw_ops.TensorListConcat`
Impact
If tf.raw_ops.TensorListConcat is given element_shape=[], it results segmentation fault which can be used to trigger a denial of service attack.
import tensorflow as tf
tf.raw_ops.TensorListConcat(
input_handle=tf.data.experimental.to_variant(tf.data.Dataset.from_tensor_slices([1, 2, 3])),
element_dtype=tf.dtypes.float32,
element_shape=[]
)
Patches
We have patched the issue in GitHub commit fc33f3dc4c14051a83eec6535b608abe1d355fde.
The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, 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 Tong Liu, ShanghaiTech University
- Record
PYSEC-2026-3117- CVSS 3.1
- 4.8 Medium
CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H - Updated
- 2026-11-02
OSVPYSEC-2026-3283
4.8
Segfault in `tf.raw_ops.TensorListConcat`
Impact
If tf.raw_ops.TensorListConcat is given element_shape=[], it results segmentation fault which can be used to trigger a denial of service attack.
import tensorflow as tf
tf.raw_ops.TensorListConcat(
input_handle=tf.data.experimental.to_variant(tf.data.Dataset.from_tensor_slices([1, 2, 3])),
element_dtype=tf.dtypes.float32,
element_shape=[]
)
Patches
We have patched the issue in GitHub commit fc33f3dc4c14051a83eec6535b608abe1d355fde.
The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, 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 Tong Liu, ShanghaiTech University
- Record
PYSEC-2026-3283- CVSS 3.1
- 4.8 Medium
CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H - Updated
- 2026-11-02
OSVPYSEC-2026-957
4.8
Segfault in `tf.raw_ops.TensorListConcat`
Impact
If tf.raw_ops.TensorListConcat is given element_shape=[], it results segmentation fault which can be used to trigger a denial of service attack.
import tensorflow as tf
tf.raw_ops.TensorListConcat(
input_handle=tf.data.experimental.to_variant(tf.data.Dataset.from_tensor_slices([1, 2, 3])),
element_dtype=tf.dtypes.float32,
element_shape=[]
)
Patches
We have patched the issue in GitHub commit fc33f3dc4c14051a83eec6535b608abe1d355fde.
The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, 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 Tong Liu, ShanghaiTech University
- Record
PYSEC-2026-957- CVSS 3.1
- 4.8 Medium
CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H - Updated
- 2026-11-02
OSVBIT-tensorflow-2022-41891 No score
Segfault in `tf.raw_ops.TensorListConcat` in Tensorflow
TensorFlow is an open source platform for machine learning. If tf.raw_ops.TensorListConcat is given element_shape=[], it results segmentation fault which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit fc33f3dc4c14051a83eec6535b608abe1d355fde. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
- Record
BIT-tensorflow-2022-41891- Updated
- 2026-11-02
Affected products
Affected packages
| Package | Affected | Fixed |
|---|---|---|
tensorflowPyPI |
before 2.8.4 | 2.8.4 |
tensorflowPyPI |
2.9.0 up to 2.9.3 | 2.9.3 |
tensorflowPyPI |
2.10.0 up to 2.10.1 | 2.10.1 |
tensorflow-cpuPyPI |
before 2.8.4 | 2.8.4 |
tensorflow-gpuPyPI |
before 2.8.4 | 2.8.4 |
tensorflow-cpuPyPI |
2.9.0 up to 2.9.3 | 2.9.3 |
tensorflow-gpuPyPI |
2.9.0 up to 2.9.3 | 2.9.3 |
tensorflow-cpuPyPI |
2.10.0 up to 2.10.1 | 2.10.1 |
tensorflow-gpuPyPI |
2.10.0 up to 2.10.1 | 2.10.1 |
tensorflowAzure Linux:2 |
before 2.11.0-1 | 2.11.0-1 |
Show 10 moreShow less
| Package | Affected | Fixed |
|---|---|---|
tensorflowBitnami |
before 2.8.4, 2.9.0 up to 2.9.3, 2.10.0 up to 2.10.1 | 2.8.42.9.32.10.1 |
tensorflowPyPI |
before 2.8.4, plus listed versions 0.12.00.12.11.0.01.0.11.1.0 Show 45 moreShow less1.10.01.10.11.11.01.12.01.12.21.12.31.13.11.13.21.14.01.15.01.15.21.15.31.15.41.15.51.2.01.2.11.3.01.4.01.4.11.5.01.5.11.6.01.7.01.7.11.8.01.9.02.0.02.0.12.0.22.0.32.0.42.1.02.1.12.1.22.1.32.1.42.2.02.2.12.2.22.2.32.3.02.3.12.3.22.3.32.3.4 |
2.8.4 |
tensorflowPyPI |
2.9.0 up to 2.9.3, plus listed versions 2.9.12.9.2 |
2.9.3 |
tensorflow-cpuPyPI |
before 2.8.4, plus listed versions 1.15.02.1.02.1.12.1.22.1.3 Show 34 moreShow less2.1.42.2.02.2.12.2.22.2.32.3.02.3.12.3.22.3.32.3.42.4.02.4.12.4.22.4.32.4.42.5.02.5.12.5.22.5.32.6.02.6.12.6.22.6.32.6.42.6.52.7.02.7.12.7.22.7.32.7.42.8.02.8.12.8.22.8.3 |
2.8.4 |
tensorflow-gpuPyPI |
before 2.8.4, plus listed versions 0.12.00.12.11.0.01.0.11.1.0 Show 45 moreShow less1.10.01.10.11.11.01.12.01.12.21.12.31.13.11.13.21.14.01.15.01.15.21.15.31.15.41.15.51.2.01.2.11.3.01.4.01.4.11.5.01.5.11.6.01.7.01.7.11.8.01.9.02.0.02.0.12.0.22.0.32.0.42.1.02.1.12.1.22.1.32.1.42.2.02.2.12.2.22.2.32.3.02.3.12.3.22.3.32.3.4 |
2.8.4 |
tensorflow-cpuPyPI |
2.9.0 up to 2.9.3, plus listed versions 2.9.12.9.2 |
2.9.3 |
tensorflow-gpuPyPI |
2.9.0 up to 2.9.3, plus listed versions 2.9.12.9.2 |
2.9.3 |
tensorflowPyPI |
before 2.8.4, 2.9.0 up to 2.9.3, 2.10.0 up to 2.10.1, plus listed versions 0.12.00.12.11.0.01.0.11.1.0 Show 45 moreShow less1.10.01.10.11.11.01.12.01.12.21.12.31.13.11.13.21.14.01.15.01.15.21.15.31.15.41.15.51.2.01.2.11.3.01.4.01.4.11.5.01.5.11.6.01.7.01.7.11.8.01.9.02.0.02.0.12.0.22.0.32.0.42.1.02.1.12.1.22.1.32.1.42.2.02.2.12.2.22.2.32.3.02.3.12.3.22.3.32.3.4 |
2.8.42.9.32.10.1 |
tensorflow-cpuPyPI |
before 2.8.4, 2.9.0 up to 2.9.3, 2.10.0 up to 2.10.1, plus listed versions 1.15.02.1.02.1.12.1.22.1.3 Show 36 moreShow less2.1.42.2.02.2.12.2.22.2.32.3.02.3.12.3.22.3.32.3.42.4.02.4.12.4.22.4.32.4.42.5.02.5.12.5.22.5.32.6.02.6.12.6.22.6.32.6.42.6.52.7.02.7.12.7.22.7.32.7.42.8.02.8.12.8.22.8.32.9.12.9.2 |
2.8.42.9.32.10.1 |
tensorflow-gpuPyPI |
before 2.8.4, 2.9.0 up to 2.9.3, 2.10.0 up to 2.10.1, plus listed versions 0.12.00.12.11.0.01.0.11.1.0 Show 45 moreShow less1.10.01.10.11.11.01.12.01.12.21.12.31.13.11.13.21.14.01.15.01.15.21.15.31.15.41.15.51.2.01.2.11.3.01.4.01.4.11.5.01.5.11.6.01.7.01.7.11.8.01.9.02.0.02.0.12.0.22.0.32.0.42.1.02.1.12.1.22.1.32.1.42.2.02.2.12.2.22.2.32.3.02.3.12.3.22.3.32.3.4 |
2.8.42.9.32.10.1 |
History
| Recorded | Changed | Sources |
|---|---|---|
| first indexed | CVE List, EUVD, GitHub Advisories, NVD, OSV |
Dates are when Every CVE recorded each change. Upstream dates may differ.
In short
CVE-2022-41891 is a medium vulnerability (CVSS 4.8) in Google Tensorflow, published November 18, 2022. No source lists public exploit code. EPSS puts the chance of exploitation in the next 30 days at 0.48%, the 41st percentile. Fixed in tensorflow 2.8.4.
References
github.com/tensorflow/tensorflow/security/advisories/GHSA-66vq-54fq-6jvv
github.com/tensorflow/tensorflow/commit/fc33f3dc4c14051a83eec6535b608abe1d355fde
github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/list_kernels.h
nvd.nist.gov/vuln/detail/CVE-2022-41891
github.com/advisories/GHSA-66vq-54fq-6jvv
github.com/CVEProject/cvelistV5/tree/main/cves/2022/41xxx/CVE-2022-41891.json
Left out here: 122 versions. The JSON record has them.