https://cve.radiocsirt.org/rss/recent/all/10 Most recent entries from all 2026-10-25T17:31:53.126151+00:00 Vulnerability-Lookup csirt@opendfir.org python-feedgen Contains only the most 10 recent entries. https://cve.radiocsirt.org/vuln/bit-tensorflow-2021-29582 BIT-tensorflow-2021-29582 — Heap OOB read in `tf.raw_ops.Dequantize` 2026-10-25T17:31:53.134325+00:00

Affected: Bitnami: tensorflow

TensorFlow is an end-to-end open source platform for machine learning. Due to lack of validation in `tf.raw_ops.Dequantize`, an attacker can trigger a read from outside of bounds of heap allocated data. The implementation(https://github.com/tensorflow/tensorflow/blob/26003593aa94b1742f34dc22ce88a1e17776a67d/tensorflow/core/kernels/dequantize_op.cc#L106-L131) accesses the `min_range` and `max_range` tensors in parallel but fails to check that they have the same shape. 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-2021-37651 cnvd-2021-37651 2026-10-25T17:31:53.134381+00:00 cnvd-2021-37651 https://cve.radiocsirt.org/vuln/euvd-2026-26518 EUVD-2026-26518 2026-10-25T17:31:53.134399+00:00 EUVD-2026-26518 https://cve.radiocsirt.org/vuln/fkie_cve-2021-29582 fkie_cve-2021-29582 2026-10-25T17:31:53.134411+00:00

TensorFlow is an end-to-end open source platform for machine learning. Due to lack of validation in `tf.raw_ops.Dequantize`, an attacker can trigger a read from outside of bounds of heap allocated data. The implementation(https://github.com/tensorflow/tensorflow/blob/26003593aa94b1742f34dc22ce88a1e17776a67d/tensorflow/core/kernels/dequantize_op.cc#L106-L131) accesses the `min_range` and `max_range` tensors in parallel but fails to check that they have the same shape. 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-c45w-2wxr-pp53 GHSA-c45w-2wxr-pp53 — Heap OOB read in `tf.raw_ops.Dequantize` 2026-10-25T17:31:53.134434+00:00

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

### Impact Due to lack of validation in `tf.raw_ops.Dequantize`, an attacker can trigger a read from outside of bounds of heap allocated data:

```python import tensorflow as tf

input_tensor=tf.constant( [75, 75, 75, 75, -6, -9, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10,\ -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10,\ -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10,\ -10, -10, -10, -10], shape=[5, 10], dtype=tf.int32) input_tensor=tf.cast(input_tensor, dtype=tf.quint8) min_range = tf.constant([-10], shape=[1], dtype=tf.float32) max_range = tf.constant([24, 758, 758, 758, 758], shape=[5], dtype=tf.float32) tf.raw_ops.Dequantize( input=input_tensor, min_range=min_range, max_range=max_range, mode='SCALED', narrow_range=True, axis=0, dtype=tf.dtypes.float32) ```

The [implementation](https://github.com/tensorflow/tensorflow/blob/26003593aa94b1742f34dc22ce88a1e17776a67d/tensorflow/core/kernels/dequantize_op.cc#L106-L131) accesses the `min_range` and `max_range` tensors in parallel but fails to check that they have the same shape:

```cc if (num_slices == 1) { const float min_range = input_min_tensor.flat<float>()(0); const float max_range = input_max_tensor.flat<float>()(0); DequantizeTensor(ctx, input, min_range, max_range, &float_output); } else { ... auto min_ranges = input_min_tensor.vec<float>(); auto max_ranges = input_max_tensor.vec<float>(); for (int i = 0; i < num_slices; ++i) {…

 https://cve.radiocsirt.org/vuln/gsd-2021-29582 gsd-2021-29582 2026-10-25T17:31:53.134488+00:00 gsd-2021-29582 https://cve.radiocsirt.org/vuln/pysec-2021-219 PYSEC-2021-219 2026-10-25T17:31:53.134501+00:00

Affected: PyPI: tensorflow

TensorFlow is an end-to-end open source platform for machine learning. Due to lack of validation in `tf.raw_ops.Dequantize`, an attacker can trigger a read from outside of bounds of heap allocated data. The implementation(https://github.com/tensorflow/tensorflow/blob/26003593aa94b1742f34dc22ce88a1e17776a67d/tensorflow/core/kernels/dequantize_op.cc#L106-L131) accesses the `min_range` and `max_range` tensors in parallel but fails to check that they have the same shape. 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.