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      <title>CVE-2022-23558 — Integer overflow in TFLite array creation</title>
      <link>https://cve.radiocsirt.org/vuln/cve-2022-23558</link>
      <description>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; tensorflow&lt;/p&gt;
&lt;p&gt;Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause an integer overflow in `TfLiteIntArrayCreate`. The `TfLiteIntArrayGetSizeInBytes` returns an `int` instead of a `size_t. An attacker can control model inputs such that `computed_size` overflows the size of `int` datatype. 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;&lt;strong&gt;Affected:&lt;/strong&gt; tensorflow&lt;/p&gt;
&lt;p&gt;Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause an integer overflow in `TfLiteIntArrayCreate`. The `TfLiteIntArrayGetSizeInBytes` returns an `int` instead of a `size_t. An attacker can control model inputs such that `computed_size` overflows the size of `int` datatype. 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-2022-23558</guid>
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    <item>
      <title>GHSA-9gwq-6cwj-47h3 — Integer overflow in TFLite array creation</title>
      <link>https://cve.radiocsirt.org/vuln/ghsa-9gwq-6cwj-47h3</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 
An attacker can craft a TFLite model that would cause an integer overflow [in `TfLiteIntArrayCreate`](https://github.com/tensorflow/tensorflow/blob/ca6f96b62ad84207fbec580404eaa7dd7403a550/tensorflow/lite/c/common.c#L53-L60):&lt;/p&gt;
&lt;p&gt;```cc
TfLiteIntArray* TfLiteIntArrayCreate(int size) {
  int alloc_size = TfLiteIntArrayGetSizeInBytes(size);
  // ...
  TfLiteIntArray* ret = (TfLiteIntArray*)malloc(alloc_size);
  // ...
} 
```&lt;/p&gt;
&lt;p&gt;The [`TfLiteIntArrayGetSizeInBytes`](https://github.com/tensorflow/tensorflow/blob/ca6f96b62ad84207fbec580404eaa7dd7403a550/tensorflow/lite/c/common.c#L24-L33) returns an `int` instead of a `size_t`:&lt;/p&gt;
&lt;p&gt;```cc
int TfLiteIntArrayGetSizeInBytes(int size) {
  static TfLiteIntArray dummy;&lt;/p&gt;
&lt;p&gt;int computed_size = sizeof(dummy) + sizeof(dummy.data[0]) * size;
#if defined(_MSC_VER)
  // Context for why this is needed is in http://b/189926408#comment21
  computed_size -= sizeof(dummy.data[0]);
#endif
  return computed_size;
}
```&lt;/p&gt;
&lt;p&gt;An attacker can control model inputs such that `computed_size` overflows the size of `int` datatype.&lt;/p&gt;
&lt;p&gt;### Patches
We have patched the issue in GitHub commit [a1e1511dde36b3f8aa27a6ec630838e7ea40e091](https://github.com/tensorflow/tensorflow/commit/a1e1511dde36b3f8aa27a6ec630838e7ea40e091).&lt;/p&gt;
&lt;p&gt;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;
&lt;p&gt;### For more information
Please consult [our…&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 
An attacker can craft a TFLite model that would cause an integer overflow [in `TfLiteIntArrayCreate`](https://github.com/tensorflow/tensorflow/blob/ca6f96b62ad84207fbec580404eaa7dd7403a550/tensorflow/lite/c/common.c#L53-L60):&lt;/p&gt;
&lt;p&gt;```cc
TfLiteIntArray* TfLiteIntArrayCreate(int size) {
  int alloc_size = TfLiteIntArrayGetSizeInBytes(size);
  // ...
  TfLiteIntArray* ret = (TfLiteIntArray*)malloc(alloc_size);
  // ...
} 
```&lt;/p&gt;
&lt;p&gt;The [`TfLiteIntArrayGetSizeInBytes`](https://github.com/tensorflow/tensorflow/blob/ca6f96b62ad84207fbec580404eaa7dd7403a550/tensorflow/lite/c/common.c#L24-L33) returns an `int` instead of a `size_t`:&lt;/p&gt;
&lt;p&gt;```cc
int TfLiteIntArrayGetSizeInBytes(int size) {
  static TfLiteIntArray dummy;&lt;/p&gt;
&lt;p&gt;int computed_size = sizeof(dummy) + sizeof(dummy.data[0]) * size;
#if defined(_MSC_VER)
  // Context for why this is needed is in http://b/189926408#comment21
  computed_size -= sizeof(dummy.data[0]);
#endif
  return computed_size;
}
```&lt;/p&gt;
&lt;p&gt;An attacker can control model inputs such that `computed_size` overflows the size of `int` datatype.&lt;/p&gt;
&lt;p&gt;### Patches
We have patched the issue in GitHub commit [a1e1511dde36b3f8aa27a6ec630838e7ea40e091](https://github.com/tensorflow/tensorflow/commit/a1e1511dde36b3f8aa27a6ec630838e7ea40e091).&lt;/p&gt;
&lt;p&gt;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;
&lt;p&gt;### For more information
Please consult [our…&lt;/p&gt;</content:encoded>
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