CWE-125

In camera isp, there is a possible out of bounds read due to a missing bounds check. This could lead to local information disclosure with System execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS06479306; Issue ID: ALPS06479306.

In camera isp, there is a possible out of bounds read due to a missing bounds check. This could lead to local information disclosure with System execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS06478059; Issue ID: ALPS06478059.

elfspirit is an ELF static analysis and injection framework that parses, manipulates, and camouflages ELF files. When analyzing the ELF file format in versions prior to 1.1, there is an out-of-bounds read bug, which can lead to application crashes or information leakage. By constructing a special format ELF file, the information of any address can be leaked. elfspirit version 1.1 contains a patch for this issue.

PJSIP is a free and open source multimedia communication library written in C language implementing standard based protocols such as SIP, SDP, RTP, STUN, TURN, and ICE. In version 2.11.1 and prior, there are various cases where it is possible that certain incoming RTP/RTCP packets can potentially cause out-of-bound read access. This issue affects all users that use PJMEDIA and accept incoming RTP/RTCP. A patch is available as a commit in the `master` branch. There are no known workarounds.

PJSIP is a free and open source multimedia communication library written in C language implementing standard based protocols such as SIP, SDP, RTP, STUN, TURN, and ICE. In versions 2.11.1 and prior, parsing an incoming SIP message that contains a malformed multipart can potentially cause out-of-bound read access. This issue affects all PJSIP users that accept SIP multipart. The patch is available as commit in the `master` branch. There are no known workarounds.

Tensorflow is an Open Source Machine Learning Framework. The implementation of `Dequantize` does not fully validate the value of `axis` and can result in heap OOB accesses. The `axis` argument can be `-1` (the default value for the optional argument) or any other positive value at most the number of dimensions of the input. Unfortunately, the upper bound is not checked and this results in reading past the end of the array containing the dimensions of the input tensor. 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.