CWE-908

The gf_hinter_track_finalize function in GPAC 1.0.1 allows attackers to cause a denial of service via a crafted file in the MP4Box command.

When parsing a file that is submitted to the DPDecoder service as a job, the R3D SDK will mistakenly skip over the assignment of a property containing an object referring to a UUID that was parsed from a frame within the video container. Upon destruction of the object that owns it, the uninitialized member will be dereferenced and then destroyed using the object’s virtual destructor. Due to the object property being uninitialized, this can result in dereferencing an arbitrary pointer for the object’s virtual method table, which can result in code execution under the context of the application.

In sec_SHA256_Transform of sha256_core.c, there is a possible way to read heap data due to uninitialized data. This could lead to local information disclosure with System execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android kernelAndroid ID: A-197965864References: N/A

In code generated by aidl_const_expressions.cpp, there is a possible out of bounds read due to uninitialized data. This could lead to information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-12Android ID: A-206718630

TensorFlow is an end-to-end open source platform for machine learning. In affected versions all TFLite operations that use quantization can be made to use unitialized values. [For example](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/lite/kernels/depthwise_conv.cc#L198-L200). The issue stems from the fact that `quantization.params` is only valid if `quantization.type` is different that `kTfLiteNoQuantization`. However, these checks are missing in large parts of the code. We have patched the issue in GitHub commits 537bc7c723439b9194a358f64d871dd326c18887, 4a91f2069f7145aab6ba2d8cfe41be8a110c18a5 and 8933b8a21280696ab119b63263babdb54c298538. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

An issue was discovered in function scanallsubs in src/sbbs3/scansubs.cpp in Synchronet BBS, which may allow attackers to view sensitive information due to an uninitialized value.