https://cve.radiocsirt.org/rss/recent/all/10 Most recent entries from all 2026-10-18T11:34:27.514851+00:00 Vulnerability-Lookup csirt@opendfir.org python-feedgen Contains only the most 10 recent entries. https://cve.radiocsirt.org/vuln/cve-2021-29513 CVE-2021-29513 — Type confusion during tensor casts lead to dereferencing null pointers 2026-10-18T11:34:27.516471+00:00

Affected: tensorflow

TensorFlow is an end-to-end open source platform for machine learning. Calling TF operations with tensors of non-numeric types when the operations expect numeric tensors result in null pointer dereferences. The conversion from Python array to C++ array(https://github.com/tensorflow/tensorflow/blob/ff70c47a396ef1e3cb73c90513da4f5cb71bebba/tensorflow/python/lib/core/ndarray_tensor.cc#L113-L169) is vulnerable to a type confusion. 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-452g-f7fp-9jf7 GHSA-452g-f7fp-9jf7 — Type confusion during tensor casts lead to dereferencing null pointers 2026-10-18T11:34:27.516526+00:00

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

### Impact Calling TF operations with tensors of non-numeric types when the operations expect numeric tensors result in null pointer dereferences.

There are multiple ways to reproduce this, listing a few examples here:

```python import tensorflow as tf import numpy as np data = tf.random.truncated_normal(shape=1,mean=np.float32(20.8739),stddev=779.973,dtype=20,seed=64) ```

```python import tensorflow as tf import numpy as np data = tf.random.stateless_truncated_normal(shape=1,seed=[63,70],mean=np.float32(20.8739),stddev=779.973,dtype=20) ```

```python import tensorflow as tf import numpy as np data = tf.one_hot(indices=[62,50],depth=136,on_value=np.int32(237),off_value=158,axis=856,dtype=20) ```

```python import tensorflow as tf import numpy as np data = tf.range(start=np.int32(214),limit=660,delta=129,dtype=20) ```

```python import tensorflow as tf import numpy as np data = tf.raw_ops.ResourceCountUpTo(resource=np.int32(30), limit=872, T=3) ```

```python import tensorflow as tf import numpy as np

writer_array = np.array([1,2],dtype=np.int32) writer_tensor = tf.convert_to_tensor(writer_array,dtype=tf.resource) ```

All these examples and similar ones have the same behavior: the [conversion from Python array to C++ array](https://github.com/tensorflow/tensorflow/blob/ff70c47a396ef1e3cb73c90513da4f5cb71bebba/tensorflow/python/lib/core/ndarray_tensor.cc#L113-L169) is vulnerable to a type confusion:

```cc int pyarray_type = PyArray_TYPE(array); PyArray_Descr* descr…