CVE-2021-29597
Division by zero in TFLite's implementation of `SpaceToBatchNd`
TensorFlow is an end-to-end open source platform for machine learning. The implementation of the SpaceToBatchNd TFLite operator is vulnerable to a division by zero error. An attacker can craft a model such that one dimension of the block input is 0. Hence, the corresponding value in block_shape is 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
What each source reports
CVE List Score used
2.5
Division by zero in TFLite's implementation of `SpaceToBatchNd`
TensorFlow is an end-to-end open source platform for machine learning. The implementation of the SpaceToBatchNd TFLite operator is vulnerable to a division by zero error. An attacker can craft a model such that one dimension of the block input is 0. Hence, the corresponding value in block_shape is 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-2021-29597- CVSS 3.1
- 2.5 Low
CVSS: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-2021-0338
2.5
TensorFlow is an end-to-end open source platform for machine learning. The implementation of the SpaceToBatchNd TFLite operator is vulnerable to a division by zero error. An attacker can craft a model such that one dimension of the block input is 0. Hence, the corresponding value in block_shape is 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-2021-0338- CVSS 3.1
- 2.5 Low
CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L - Updated
- 2026-11-03
GitHub AdvisoriesGHSA-v52p-hfjf-wg88
2.0
Division by zero in TFLite's implementation of `SpaceToBatchNd`
Impact
The implementation of the SpaceToBatchNd TFLite operator is vulnerable to a division by zero error:
TF_LITE_ENSURE_EQ(context, final_dim_size % block_shape[dim], 0);
output_size->data[dim + 1] = final_dim_size / block_shape[dim];
An attacker can craft a model such that one dimension of the block input is 0. Hence, the corresponding value in block_shape is 0.
Patches
We have patched the issue in GitHub commit 6d36ba65577006affb272335b7c1abd829010708.
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-v52p-hfjf-wg88- CVSS 4.0
- 2.0 Low
CVSS: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 Low
CVSS: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 SpaceToBatchNd TFLite operator is vulnerable to a division by zero error. An attacker can craft a model such that one dimension of the block input is 0. Hence, the corresponding value in block_shape is 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-2021-29597- CVSS 3.1
- 2.5 Low
CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L - CVSS 3.1
- 7.8 High
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H - CVSS 2.0
- 4.6 Medium
AV: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 SpaceToBatchNd TFLite operator is vulnerable to a division by zero error. An attacker can craft a model such that one dimension of the block input is 0. Hence, the corresponding value in block_shape is 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-2021-29597- CVSS 3.1
- 7.8 High
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H - Updated
- 2026-11-02
OSVGHSA-v52p-hfjf-wg88
2.0
Division by zero in TFLite's implementation of `SpaceToBatchNd`
Impact
The implementation of the SpaceToBatchNd TFLite operator is vulnerable to a division by zero error:
TF_LITE_ENSURE_EQ(context, final_dim_size % block_shape[dim], 0);
output_size->data[dim + 1] = final_dim_size / block_shape[dim];
An attacker can craft a model such that one dimension of the block input is 0. Hence, the corresponding value in block_shape is 0.
Patches
We have patched the issue in GitHub commit 6d36ba65577006affb272335b7c1abd829010708.
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-v52p-hfjf-wg88- CVSS 4.0
- 2.0 Low
CVSS: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 Low
CVSS: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-2021-29597 No score
Division by zero in TFLite's implementation of `SpaceToBatchNd`
TensorFlow is an end-to-end open source platform for machine learning. The implementation of the SpaceToBatchNd TFLite operator is vulnerable to a division by zero error. An attacker can craft a model such that one dimension of the block input is 0. Hence, the corresponding value in block_shape is 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-2021-29597- Updated
- 2026-11-02
OSVPYSEC-2021-234 No score
TensorFlow is an end-to-end open source platform for machine learning. The implementation of the SpaceToBatchNd TFLite operator is vulnerable to a division by zero error. An attacker can craft a model such that one dimension of the block input is 0. Hence, the corresponding value in block_shape is 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-2021-234- Updated
- 2026-11-02
OSVPYSEC-2021-525 No score
TensorFlow is an end-to-end open source platform for machine learning. The implementation of the SpaceToBatchNd TFLite operator is vulnerable to a division by zero error. An attacker can craft a model such that one dimension of the block input is 0. Hence, the corresponding value in block_shape is 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-2021-525- Updated
- 2026-11-02
OSVPYSEC-2021-723 No score
TensorFlow is an end-to-end open source platform for machine learning. The implementation of the SpaceToBatchNd TFLite operator is vulnerable to a division by zero error. An attacker can craft a model such that one dimension of the block input is 0. Hence, the corresponding value in block_shape is 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-2021-723- Updated
- 2026-11-02
Affected products
Affected packages
| Package | Affected | Fixed |
|---|---|---|
tensorflowPyPI |
before 2.1.4 | 2.1.4 |
tensorflowPyPI |
2.2.0 up to 2.2.3 | 2.2.3 |
tensorflowPyPI |
2.3.0 up to 2.3.3 | 2.3.3 |
tensorflowPyPI |
2.4.0 up to 2.4.2 | 2.4.2 |
tensorflow-cpuPyPI |
before 2.1.4 | 2.1.4 |
tensorflow-cpuPyPI |
2.2.0 up to 2.2.3 | 2.2.3 |
tensorflow-cpuPyPI |
2.3.0 up to 2.3.3 | 2.3.3 |
tensorflow-cpuPyPI |
2.4.0 up to 2.4.2 | 2.4.2 |
tensorflow-gpuPyPI |
before 2.1.4 | 2.1.4 |
tensorflow-gpuPyPI |
2.2.0 up to 2.2.3 | 2.2.3 |
Show 18 moreShow less
| Package | Affected | Fixed |
|---|---|---|
tensorflow-gpuPyPI |
2.3.0 up to 2.3.3 | 2.3.3 |
tensorflow-gpuPyPI |
2.4.0 up to 2.4.2 | 2.4.2 |
tensorflowBitnami |
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 |
tensorflowPyPI |
before 2.1.4, plus listed versions 0.12.00.12.11.0.01.0.11.1.0 Show 35 moreShow less1.10.01.10.11.11.01.12.01.12.21.12.31.13.11.13.21.14.01.15.01.15.21.15.31.15.41.15.51.2.01.2.11.3.01.4.01.4.11.5.01.5.11.6.01.7.01.7.11.8.01.9.02.0.02.0.12.0.22.0.32.0.42.1.02.1.12.1.22.1.3 |
2.1.4 |
tensorflowPyPI |
2.2.0 up to 2.2.3, plus listed versions 2.2.12.2.2 |
2.2.3 |
tensorflowPyPI |
2.3.0 up to 2.3.3, plus listed versions 2.3.12.3.2 |
2.3.3 |
tensorflowPyPI |
2.4.0 up to 2.4.2, plus listed versions 2.4.1 |
2.4.2 |
tensorflow-cpuPyPI |
before 2.1.4, plus listed versions 1.15.02.1.02.1.12.1.22.1.3 |
2.1.4 |
tensorflow-cpuPyPI |
2.2.0 up to 2.2.3, plus listed versions 2.2.12.2.2 |
2.2.3 |
tensorflow-cpuPyPI |
2.3.0 up to 2.3.3, plus listed versions 2.3.12.3.2 |
2.3.3 |
tensorflow-cpuPyPI |
2.4.0 up to 2.4.2, plus listed versions 2.4.1 |
2.4.2 |
tensorflow-gpuPyPI |
before 2.1.4, plus listed versions 0.12.00.12.11.0.01.0.11.1.0 Show 35 moreShow less1.10.01.10.11.11.01.12.01.12.21.12.31.13.11.13.21.14.01.15.01.15.21.15.31.15.41.15.51.2.01.2.11.3.01.4.01.4.11.5.01.5.11.6.01.7.01.7.11.8.01.9.02.0.02.0.12.0.22.0.32.0.42.1.02.1.12.1.22.1.3 |
2.1.4 |
tensorflow-gpuPyPI |
2.2.0 up to 2.2.3, plus listed versions 2.2.12.2.2 |
2.2.3 |
tensorflow-gpuPyPI |
2.3.0 up to 2.3.3, plus listed versions 2.3.12.3.2 |
2.3.3 |
tensorflow-gpuPyPI |
2.4.0 up to 2.4.2, plus listed versions 2.4.1 |
2.4.2 |
tensorflowPyPI |
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 less1.0.11.1.01.1.0rc01.1.0rc11.1.0rc21.10.01.10.0rc01.10.0rc11.10.11.11.01.11.0rc01.11.0rc11.11.0rc21.12.01.12.0rc01.12.0rc11.12.0rc21.12.21.12.31.13.0rc01.13.0rc11.13.0rc21.13.11.13.21.14.01.14.0rc01.14.0rc11.15.01.15.0rc01.15.0rc11.15.0rc21.15.0rc31.15.21.15.31.15.41.15.51.2.01.2.0rc01.2.0rc11.2.0rc21.2.11.3.01.3.0rc01.3.0rc11.3.0rc2 |
2.1.42.2.32.3.32.4.2 |
tensorflow-cpuPyPI |
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 less2.2.12.2.22.3.12.3.22.4.1 |
2.1.42.2.32.3.32.4.2 |
tensorflow-gpuPyPI |
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 less1.10.01.10.11.11.01.12.01.12.21.12.31.13.11.13.21.14.01.15.01.15.21.15.31.15.41.15.51.2.01.2.11.3.01.4.01.4.11.5.01.5.11.6.01.7.01.7.11.8.01.9.02.0.02.0.12.0.22.0.32.0.42.1.02.1.12.1.22.1.32.2.12.2.22.3.12.3.22.4.1 |
2.1.42.2.32.3.32.4.2 |
History
| Recorded | Changed | Sources |
|---|---|---|
| aliases | EUVD | |
| first indexed | CVE List, GitHub Advisories, NVD, OSV |
Dates are when Every CVE recorded each change. Upstream dates may differ.
In short
CVE-2021-29597 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
github.com/tensorflow/tensorflow/security/advisories/GHSA-v52p-hfjf-wg88
github.com/tensorflow/tensorflow/commit/6d36ba65577006affb272335b7c1abd829010708
nvd.nist.gov/vuln/detail/CVE-2021-29597
github.com/tensorflow/tensorflow/blob/412c7d9bb8f8a762c5b266c9e73bfa165f29aac8/tensorflow/lite/kernels/space_to_batch_nd.cc
github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-525.yaml
github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-723.yaml
github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-234.yaml
github.com/advisories/GHSA-v52p-hfjf-wg88
github.com/tensorflow/tensorflow
Left out here: 45 versions. The JSON record has them.