https://cve.radiocsirt.org/rss/recent/all/10 Most recent entries from all 2026-10-09T00:45:57.649159+00:00 Vulnerability-Lookup csirt@opendfir.org python-feedgen Contains only the most 10 recent entries. https://cve.radiocsirt.org/vuln/bit-tensorflow-2021-29604 BIT-tensorflow-2021-29604 — Division by zero in TFLite's implementation of hashtable lookup 2026-10-09T00:45:57.658344+00:00

Affected: Bitnami: tensorflow

TensorFlow is an end-to-end open source platform for machine learning. The TFLite implementation of hashtable lookup is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/1a8e885b864c818198a5b2c0cbbeca5a1e833bc8/tensorflow/lite/kernels/hashtable_lookup.cc#L114-L115) An attacker can craft a model such that `values`'s first dimension 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.

 https://cve.radiocsirt.org/vuln/cnvd-2021-36349 cnvd-2021-36349 2026-10-09T00:45:57.658427+00:00 cnvd-2021-36349 https://cve.radiocsirt.org/vuln/euvd-2026-26467 EUVD-2026-26467 2026-10-09T00:45:57.658454+00:00 EUVD-2026-26467 https://cve.radiocsirt.org/vuln/fkie_cve-2021-29604 fkie_cve-2021-29604 2026-10-09T00:45:57.658472+00:00

TensorFlow is an end-to-end open source platform for machine learning. The TFLite implementation of hashtable lookup is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/1a8e885b864c818198a5b2c0cbbeca5a1e833bc8/tensorflow/lite/kernels/hashtable_lookup.cc#L114-L115) An attacker can craft a model such that `values`'s first dimension 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.

 https://cve.radiocsirt.org/vuln/ghsa-8rm6-75mf-7r7r GHSA-8rm6-75mf-7r7r — Division by zero in TFLite's implementation of hashtable lookup 2026-10-09T00:45:57.658511+00:00

Affected: PyPI: tensorflow, PyPI: tensorflow-cpu, PyPI: tensorflow-gpu

### Impact The TFLite implementation of hashtable lookup is [vulnerable to a division by zero error](https://github.com/tensorflow/tensorflow/blob/1a8e885b864c818198a5b2c0cbbeca5a1e833bc8/tensorflow/lite/kernels/hashtable_lookup.cc#L114-L115):

```cc const int num_rows = SizeOfDimension(value, 0); const int row_bytes = value->bytes / num_rows; ```

An attacker can craft a model such that `values`'s first dimension would be 0.

### Patches We have patched the issue in GitHub commit [5117e0851348065ed59c991562c0ec80d9193db2](https://github.com/tensorflow/tensorflow/commit/5117e0851348065ed59c991562c0ec80d9193db2).

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](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) 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.

 https://cve.radiocsirt.org/vuln/gsd-2021-29604 gsd-2021-29604 2026-10-09T00:45:57.658621+00:00 gsd-2021-29604 https://cve.radiocsirt.org/vuln/pysec-2021-241 PYSEC-2021-241 2026-10-09T00:45:57.658644+00:00

Affected: PyPI: tensorflow

TensorFlow is an end-to-end open source platform for machine learning. The TFLite implementation of hashtable lookup is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/1a8e885b864c818198a5b2c0cbbeca5a1e833bc8/tensorflow/lite/kernels/hashtable_lookup.cc#L114-L115) An attacker can craft a model such that `values`'s first dimension 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.