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    <lastBuildDate>Tue, 06 Oct 2026 16:44:40 +0000</lastBuildDate>
    <item>
      <title>CVE-2022-21728 — Out of bounds read in Tensorflow</title>
      <link>https://cve.radiocsirt.org/vuln/cve-2022-21728</link>
      <description>&lt;p&gt;Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `ReverseSequence` does not fully validate the value of `batch_dim` and can result in a heap OOB read. There is a check to make sure the value of `batch_dim` does not go over the rank of the input, but there is no check for negative values. Negative dimensions are allowed in some cases to mimic Python&amp;#39;s negative indexing (i.e., indexing from the end of the array), however if the value is too negative then the implementation of `Dim` would access elements before the start of an array. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.&lt;/p&gt;</description>
      <content:encoded>&lt;p&gt;Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `ReverseSequence` does not fully validate the value of `batch_dim` and can result in a heap OOB read. There is a check to make sure the value of `batch_dim` does not go over the rank of the input, but there is no check for negative values. Negative dimensions are allowed in some cases to mimic Python&amp;#39;s negative indexing (i.e., indexing from the end of the array), however if the value is too negative then the implementation of `Dim` would access elements before the start of an array. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.&lt;/p&gt;</content:encoded>
      <guid isPermaLink="false">https://cve.radiocsirt.org/vuln/cve-2022-21728</guid>
    </item>
    <item>
      <title>GHSA-6gmv-pjp9-p8w8 — Out of bounds read in Tensorflow</title>
      <link>https://cve.radiocsirt.org/vuln/ghsa-6gmv-pjp9-p8w8</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 
The [implementation of shape inference for `ReverseSequence`](https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/ops/array_ops.cc#L1636-L1671) does not fully validate the value of `batch_dim` and can result in a heap OOB read:&lt;/p&gt;
&lt;p&gt;```python
import tensorflow as tf&lt;/p&gt;
&lt;p&gt;@tf.function
def test():
  y = tf.raw_ops.ReverseSequence(
    input = [&amp;#39;aaa&amp;#39;,&amp;#39;bbb&amp;#39;],
    seq_lengths = [1,1,1],
    seq_dim = -10,
    batch_dim = -10 )
  return y
    
test()
```&lt;/p&gt;
&lt;p&gt;There is a check to make sure the value of `batch_dim` does not go over the rank of the input, but there is no check for negative values:&lt;/p&gt;
&lt;p&gt;```cc
  const int32_t input_rank = c-&amp;gt;Rank(input);
  if (batch_dim &amp;gt;= input_rank) {
    return errors::InvalidArgument( 
        &amp;#34;batch_dim must be &amp;lt; input rank: &amp;#34;, batch_dim, &amp;#34; vs. &amp;#34;, input_rank);
  }
  // ...
  
  DimensionHandle batch_dim_dim = c-&amp;gt;Dim(input, batch_dim);
``` 
    
Negative dimensions are allowed in some cases to mimic Python&amp;#39;s negative indexing (i.e., indexing from the end of the array), however if the value is too negative then [the implementation of `Dim`](https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/framework/shape_inference.h#L415-L428) would access elements before the start of an array:&lt;/p&gt;
&lt;p&gt;```cc
  DimensionHandle Dim(ShapeHandle s, int64_t idx) {
    if (!s.Handle() || s-&amp;gt;rank_ == kUnknownRank) {
      return UnknownDim();
    }
    return DimKnownRank(s, idx);…&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 
The [implementation of shape inference for `ReverseSequence`](https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/ops/array_ops.cc#L1636-L1671) does not fully validate the value of `batch_dim` and can result in a heap OOB read:&lt;/p&gt;
&lt;p&gt;```python
import tensorflow as tf&lt;/p&gt;
&lt;p&gt;@tf.function
def test():
  y = tf.raw_ops.ReverseSequence(
    input = [&amp;#39;aaa&amp;#39;,&amp;#39;bbb&amp;#39;],
    seq_lengths = [1,1,1],
    seq_dim = -10,
    batch_dim = -10 )
  return y
    
test()
```&lt;/p&gt;
&lt;p&gt;There is a check to make sure the value of `batch_dim` does not go over the rank of the input, but there is no check for negative values:&lt;/p&gt;
&lt;p&gt;```cc
  const int32_t input_rank = c-&amp;gt;Rank(input);
  if (batch_dim &amp;gt;= input_rank) {
    return errors::InvalidArgument( 
        &amp;#34;batch_dim must be &amp;lt; input rank: &amp;#34;, batch_dim, &amp;#34; vs. &amp;#34;, input_rank);
  }
  // ...
  
  DimensionHandle batch_dim_dim = c-&amp;gt;Dim(input, batch_dim);
``` 
    
Negative dimensions are allowed in some cases to mimic Python&amp;#39;s negative indexing (i.e., indexing from the end of the array), however if the value is too negative then [the implementation of `Dim`](https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/framework/shape_inference.h#L415-L428) would access elements before the start of an array:&lt;/p&gt;
&lt;p&gt;```cc
  DimensionHandle Dim(ShapeHandle s, int64_t idx) {
    if (!s.Handle() || s-&amp;gt;rank_ == kUnknownRank) {
      return UnknownDim();
    }
    return DimKnownRank(s, idx);…&lt;/p&gt;</content:encoded>
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