CVE-2022-23558: Integer overflow in TFLite array creation

Impact An attacker can craft a TFLite model that would cause an integer overflow in TfLiteIntArrayCreate:

cc TfLiteIntArray TfLiteIntArrayCreate(int size) { int allocsize = TfLiteIntArrayGetSizeInBytes(size); // ... TfLiteIntArray ret = (TfLiteIntArray)malloc(allocsize); // ... }

The TfLiteIntArrayGetSizeInBytes returns an int instead of a sizet:

cc int TfLiteIntArrayGetSizeInBytes(int size) { static TfLiteIntArray dummy;

int computedsize = sizeof(dummy) + sizeof(dummy.data[0]) size; #if defined(MSCVER) // Context for why this is needed is in http://b/189926408#comment21 computedsize -= sizeof(dummy.data[0]); #endif return computedsize; }

An attacker can control model inputs such that computedsize overflows the size of int datatype.

Patches We have patched the issue in GitHub commit a1e1511dde36b3f8aa27a6ec630838e7ea40e091.

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.

For more information Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Attribution This vulnerability has been reported by Wang Xuan of Qihoo 360 AIVul Team.