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    <title>Most recent entries from all</title>
    <link>https://cve.radiocsirt.org</link>
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    <lastBuildDate>Sun, 18 Oct 2026 11:22:15 +0000</lastBuildDate>
    <item>
      <title>CVE-2021-29513 — Type confusion during tensor casts lead to dereferencing null pointers</title>
      <link>https://cve.radiocsirt.org/vuln/cve-2021-29513</link>
      <description>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; tensorflow&lt;/p&gt;
&lt;p&gt;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.&lt;/p&gt;</description>
      <content:encoded>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; tensorflow&lt;/p&gt;
&lt;p&gt;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.&lt;/p&gt;</content:encoded>
      <guid isPermaLink="false">https://cve.radiocsirt.org/vuln/cve-2021-29513</guid>
    </item>
    <item>
      <title>GHSA-452g-f7fp-9jf7 — Type confusion during tensor casts lead to dereferencing null pointers</title>
      <link>https://cve.radiocsirt.org/vuln/ghsa-452g-f7fp-9jf7</link>
      <description>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; PyPI: tensorflow, PyPI: tensorflow-cpu, PyPI: tensorflow-gpu&lt;/p&gt;
&lt;p&gt;### Impact
Calling TF operations with tensors of non-numeric types when the operations expect numeric tensors result in null pointer dereferences.&lt;/p&gt;
&lt;p&gt;There are multiple ways to reproduce this, listing a few examples here:&lt;/p&gt;
&lt;p&gt;```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)
```&lt;/p&gt;
&lt;p&gt;```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)
```&lt;/p&gt;
&lt;p&gt;```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)
```&lt;/p&gt;
&lt;p&gt;```python
import tensorflow as tf
import numpy as np
data = tf.range(start=np.int32(214),limit=660,delta=129,dtype=20)
```&lt;/p&gt;
&lt;p&gt;```python
import tensorflow as tf
import numpy as np
data = tf.raw_ops.ResourceCountUpTo(resource=np.int32(30), limit=872, T=3)
```&lt;/p&gt;
&lt;p&gt;```python
import tensorflow as tf
import numpy as np&lt;/p&gt;
&lt;p&gt;writer_array = np.array([1,2],dtype=np.int32)
writer_tensor = tf.convert_to_tensor(writer_array,dtype=tf.resource)
```&lt;/p&gt;
&lt;p&gt;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:&lt;/p&gt;
&lt;p&gt;```cc
  int pyarray_type = PyArray_TYPE(array);
  PyArray_Descr* descr…&lt;/p&gt;</description>
      <content:encoded>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; PyPI: tensorflow, PyPI: tensorflow-cpu, PyPI: tensorflow-gpu&lt;/p&gt;
&lt;p&gt;### Impact
Calling TF operations with tensors of non-numeric types when the operations expect numeric tensors result in null pointer dereferences.&lt;/p&gt;
&lt;p&gt;There are multiple ways to reproduce this, listing a few examples here:&lt;/p&gt;
&lt;p&gt;```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)
```&lt;/p&gt;
&lt;p&gt;```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)
```&lt;/p&gt;
&lt;p&gt;```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)
```&lt;/p&gt;
&lt;p&gt;```python
import tensorflow as tf
import numpy as np
data = tf.range(start=np.int32(214),limit=660,delta=129,dtype=20)
```&lt;/p&gt;
&lt;p&gt;```python
import tensorflow as tf
import numpy as np
data = tf.raw_ops.ResourceCountUpTo(resource=np.int32(30), limit=872, T=3)
```&lt;/p&gt;
&lt;p&gt;```python
import tensorflow as tf
import numpy as np&lt;/p&gt;
&lt;p&gt;writer_array = np.array([1,2],dtype=np.int32)
writer_tensor = tf.convert_to_tensor(writer_array,dtype=tf.resource)
```&lt;/p&gt;
&lt;p&gt;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:&lt;/p&gt;
&lt;p&gt;```cc
  int pyarray_type = PyArray_TYPE(array);
  PyArray_Descr* descr…&lt;/p&gt;</content:encoded>
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