The TFLite code for allocating TFLiteIntArray
s is vulnerable to an integer overflow issue:
int TfLiteIntArrayGetSizeInBytes(int size) {
static TfLiteIntArray dummy;
return sizeof(dummy) + sizeof(dummy.data[0]) * size;
}
An attacker can craft a model such that the size
multiplier is so large that the return value overflows the int
datatype and becomes negative. In turn, this results in invalid value being given to malloc
:
TfLiteIntArray* TfLiteIntArrayCreate(int size) {
TfLiteIntArray* ret = (TfLiteIntArray*)malloc(TfLiteIntArrayGetSizeInBytes(size));
ret->size = size;
return ret;
}
In this case, ret->size
would dereference an invalid pointer.
We have patched the issue in GitHub commit 7c8cc4ec69cd348e44ad6a2699057ca88faad3e5.
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.
Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.
This vulnerability has been reported by members of the Aivul Team from Qihoo 360.
{ "nvd_published_at": "2021-05-14T20:15:00Z", "cwe_ids": [ "CWE-190" ], "severity": "MODERATE", "github_reviewed": true, "github_reviewed_at": "2021-05-17T22:25:58Z" }