CVE-2023-25676
TensorFlow has null dereference on ParallelConcat with XLA
TensorFlow is an open source machine learning platform. When running versions prior to 2.12.0 and 2.11.1 with XLA, tf.raw_ops.ParallelConcat segfaults with a nullptr dereference when given a parameter shape with rank that is not greater than zero. A fix is available in TensorFlow 2.12.0 and 2.11.1.
Attack profile
How easy it is to exploit
- Attack vector
- Network
- Complexity
- Low
- Privileges needed
- None
- User interaction
- None
What an attacker can affect
- Confidentiality
- None
- Integrity
- None
- Availability
- High
Exploit likelihood
What each source reports
CVE List Score used
7.5
TensorFlow has null dereference on ParallelConcat with XLA
TensorFlow is an open source machine learning platform. When running versions prior to 2.12.0 and 2.11.1 with XLA, tf.raw_ops.ParallelConcat segfaults with a nullptr dereference when given a parameter shape with rank that is not greater than zero. A fix is available in TensorFlow 2.12.0 and 2.11.1.
- Record
CVE-2023-25676- 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-476
- Updated
- 2026-11-02
EUVDEUVD-2023-0913
7.5
TensorFlow is an open source machine learning platform. When running versions prior to 2.12.0 and 2.11.1 with XLA, tf.raw_ops.ParallelConcat segfaults with a nullptr dereference when given a parameter shape with rank that is not greater than zero. A fix is available in TensorFlow 2.12.0 and 2.11.1.
- Record
EUVD-2023-0913- 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
GitHub AdvisoriesGHSA-6wfh-89q8-44jq
7.5
TensorFlow has null dereference on ParallelConcat with XLA
Impact
When running with XLA, tf.raw_ops.ParallelConcat segfaults with a nullptr dereference when given a parameter shape with rank that is not greater than zero.
import tensorflow as tf
func = tf.raw_ops.ParallelConcat
para = {'shape': 0, 'values': [1]}
@tf.function(jit_compile=True)
def test():
y = func(**para)
return y
test()
Patches
We have patched the issue in GitHub commit da66bc6d5ff466aee084f9e7397980a24890cd15.
The fix will be included in TensorFlow 2.12. We will also cherrypick this commit on TensorFlow 2.11.1.
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 r3pwnx of 360 AIVul Team
- Record
GHSA-6wfh-89q8-44jq- 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-476
- Updated
- 2026-11-02
NVD
7.5
TensorFlow is an open source machine learning platform. When running versions prior to 2.12.0 and 2.11.1 with XLA, tf.raw_ops.ParallelConcat segfaults with a nullptr dereference when given a parameter shape with rank that is not greater than zero. A fix is available in TensorFlow 2.12.0 and 2.11.1.
- Record
CVE-2023-25676- 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-476
- Updated
- 2026-11-02
OSVAZL-31203
7.5
CVE-2023-25676 affecting package tensorflow for versions less than 2.11.1-1
TensorFlow is an open source machine learning platform. When running versions prior to 2.12.0 and 2.11.1 with XLA, tf.raw_ops.ParallelConcat segfaults with a nullptr dereference when given a parameter shape with rank that is not greater than zero. A fix is available in TensorFlow 2.12.0 and 2.11.1.
- Record
AZL-31203- 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
OSVAZL-35321
7.5
CVE-2023-25676 affecting package tensorflow for versions less than 2.11.1-1
TensorFlow is an open source machine learning platform. When running versions prior to 2.12.0 and 2.11.1 with XLA, tf.raw_ops.ParallelConcat segfaults with a nullptr dereference when given a parameter shape with rank that is not greater than zero. A fix is available in TensorFlow 2.12.0 and 2.11.1.
- Record
AZL-35321- 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
Show 6 moreShow less
OSV
7.5
TensorFlow has null dereference on ParallelConcat with XLA
TensorFlow is an open source machine learning platform. When running versions prior to 2.12.0 and 2.11.1 with XLA, tf.raw_ops.ParallelConcat segfaults with a nullptr dereference when given a parameter shape with rank that is not greater than zero. A fix is available in TensorFlow 2.12.0 and 2.11.1.
- Record
CVE-2023-25676- 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-476
- Updated
- 2026-11-02
OSVGHSA-6wfh-89q8-44jq
7.5
TensorFlow has null dereference on ParallelConcat with XLA
Impact
When running with XLA, tf.raw_ops.ParallelConcat segfaults with a nullptr dereference when given a parameter shape with rank that is not greater than zero.
import tensorflow as tf
func = tf.raw_ops.ParallelConcat
para = {'shape': 0, 'values': [1]}
@tf.function(jit_compile=True)
def test():
y = func(**para)
return y
test()
Patches
We have patched the issue in GitHub commit da66bc6d5ff466aee084f9e7397980a24890cd15.
The fix will be included in TensorFlow 2.12. We will also cherrypick this commit on TensorFlow 2.11.1.
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 r3pwnx of 360 AIVul Team
- Record
GHSA-6wfh-89q8-44jq- 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-476
- Updated
- 2026-11-02
OSVPYSEC-2026-3123
7.5
TensorFlow has null dereference on ParallelConcat with XLA
Impact
When running with XLA, tf.raw_ops.ParallelConcat segfaults with a nullptr dereference when given a parameter shape with rank that is not greater than zero.
import tensorflow as tf
func = tf.raw_ops.ParallelConcat
para = {'shape': 0, 'values': [1]}
@tf.function(jit_compile=True)
def test():
y = func(**para)
return y
test()
Patches
We have patched the issue in GitHub commit da66bc6d5ff466aee084f9e7397980a24890cd15.
The fix will be included in TensorFlow 2.12. We will also cherrypick this commit on TensorFlow 2.11.1.
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 r3pwnx of 360 AIVul Team
- Record
PYSEC-2026-3123- 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
OSVPYSEC-2026-3287
7.5
TensorFlow has null dereference on ParallelConcat with XLA
Impact
When running with XLA, tf.raw_ops.ParallelConcat segfaults with a nullptr dereference when given a parameter shape with rank that is not greater than zero.
import tensorflow as tf
func = tf.raw_ops.ParallelConcat
para = {'shape': 0, 'values': [1]}
@tf.function(jit_compile=True)
def test():
y = func(**para)
return y
test()
Patches
We have patched the issue in GitHub commit da66bc6d5ff466aee084f9e7397980a24890cd15.
The fix will be included in TensorFlow 2.12. We will also cherrypick this commit on TensorFlow 2.11.1.
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 r3pwnx of 360 AIVul Team
- Record
PYSEC-2026-3287- 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
OSVPYSEC-2026-961
7.5
TensorFlow has null dereference on ParallelConcat with XLA
Impact
When running with XLA, tf.raw_ops.ParallelConcat segfaults with a nullptr dereference when given a parameter shape with rank that is not greater than zero.
import tensorflow as tf
func = tf.raw_ops.ParallelConcat
para = {'shape': 0, 'values': [1]}
@tf.function(jit_compile=True)
def test():
y = func(**para)
return y
test()
Patches
We have patched the issue in GitHub commit da66bc6d5ff466aee084f9e7397980a24890cd15.
The fix will be included in TensorFlow 2.12. We will also cherrypick this commit on TensorFlow 2.11.1.
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 r3pwnx of 360 AIVul Team
- Record
PYSEC-2026-961- 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
OSVBIT-tensorflow-2023-25676 No score
TensorFlow has null dereference on ParallelConcat with XLA
TensorFlow is an open source machine learning platform. When running versions prior to 2.12.0 and 2.11.1 with XLA, tf.raw_ops.ParallelConcat segfaults with a nullptr dereference when given a parameter shape with rank that is not greater than zero. A fix is available in TensorFlow 2.12.0 and 2.11.1.
- Record
BIT-tensorflow-2023-25676- Updated
- 2026-11-02
Affected products
Affected packages
| Package | Affected | Fixed |
|---|---|---|
tensorflowPyPI |
before 2.11.1 | 2.11.1 |
tensorflow-cpuPyPI |
before 2.11.1 | 2.11.1 |
tensorflow-gpuPyPI |
before 2.11.1 | 2.11.1 |
tensorflowAzure Linux:2 |
before 2.11.1-1 | 2.11.1-1 |
tensorflowAzure Linux:3 |
before 2.11.1-1 | 2.11.1-1 |
tensorflowBitnami |
before 2.12.0 | 2.12.0 |
tensorflowPyPI |
before 2.11.1, plus listed versions 0.12.00.12.11.0.01.0.11.1.0 Show 45 moreShow less1.10.01.10.11.11.01.12.01.12.21.12.31.13.11.13.21.14.01.15.01.15.21.15.31.15.41.15.51.2.01.2.11.3.01.4.01.4.11.5.01.5.11.6.01.7.01.7.11.8.01.9.02.0.02.0.12.0.22.0.32.0.42.1.02.1.12.1.22.1.32.1.42.10.02.10.0rc02.10.0rc12.10.0rc22.10.0rc32.10.12.11.02.11.0rc02.11.0rc1 |
2.11.1 |
tensorflow-cpuPyPI |
before 2.11.1, plus listed versions 1.15.02.1.02.1.12.1.22.1.3 Show 45 moreShow less2.1.42.10.02.10.0rc02.10.0rc12.10.0rc22.10.0rc32.10.12.11.02.11.0rc02.11.0rc12.11.0rc22.2.02.2.12.2.22.2.32.3.02.3.12.3.22.3.32.3.42.4.02.4.12.4.22.4.32.4.42.5.02.5.12.5.22.5.32.6.02.6.12.6.22.6.32.6.42.6.52.7.02.7.12.7.22.7.32.7.42.8.02.8.12.8.22.8.32.8.4 |
2.11.1 |
tensorflow-gpuPyPI |
before 2.11.1, plus listed versions 0.12.00.12.11.0.01.0.11.1.0 Show 45 moreShow less1.10.01.10.11.11.01.12.01.12.21.12.31.13.11.13.21.14.01.15.01.15.21.15.31.15.41.15.51.2.01.2.11.3.01.4.01.4.11.5.01.5.11.6.01.7.01.7.11.8.01.9.02.0.02.0.12.0.22.0.32.0.42.1.02.1.12.1.22.1.32.1.42.10.02.10.0rc02.10.0rc12.10.0rc22.10.0rc32.10.12.11.02.11.0rc02.11.0rc1 |
2.11.1 |
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-2023-25676 is a high vulnerability (CVSS 7.5) in Google Tensorflow, published March 24, 2023. No source lists public exploit code. EPSS puts the chance of exploitation in the next 30 days at 0.39%, the 33rd percentile. Fixed in tensorflow 2.11.1.
References
github.com/tensorflow/tensorflow/security/advisories/GHSA-6wfh-89q8-44jq
github.com/tensorflow/tensorflow/commit/da66bc6d5ff466aee084f9e7397980a24890cd15
nvd.nist.gov/vuln/detail/CVE-2023-25676
github.com/advisories/GHSA-6wfh-89q8-44jq
github.com/CVEProject/cvelistV5/tree/main/cves/2023/25xxx/CVE-2023-25676.json
github.com/tensorflow/tensorflow
pypi.org/project/tensorflow
pypi.org/project/tensorflow-cpu
pypi.org/project/tensorflow-gpu
Left out here: 102 versions. The JSON record has them.