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CLR Profiler is a free memory profiler provided by Microsoft for CLR applications. GlowCode is a performance and memory profiler for .NET applications using C# and other .NET languages. It identifies time-intensive functions and detects memory leaks and errors in native, managed and mixed Windows x64 and x86 applications. Visual Studio
CLR Profiler is a free and open-source memory profiler for the .NET Framework from Microsoft.It allows the user to investigate the contents of the managed heap, the behavior of the garbage collector, and the allocation patterns (including call-graph analysis) of the program being profiled.
Defect detection (buffer overruns, memory leaks, etc.), concurrency and security checks, architecture visualization and software metrics. GCC: 2023-4-26 (13.1) Yes; GPLv3+ with GCC Runtime Library Exception — C — — — — — Compiling with -fanalyzer flag (available from GCC 10) enables the static analyzer functionality [9]
IPCS (Interactive Problem Control System) is a z/OS component which can analyze unformatted application dumps dumps (SYSMDUMP) or snapshot dumps, or stand-alone system dumps (SADMP). IPCS can inspect any storage address in the dump and format system control blocks, providing labels for fields. It can be run interactively or as a batch job. [2]
.NET Reflector is a class browser, decompiler and static analyzer for software created with .NET Framework, originally written by Lutz Roeder. MSDN Magazine named it as one of the Ten Must-Have utilities for developers, [1] and Scott Hanselman listed it as part of his "Big Ten Life and Work-Changing Utilities".
Memory forensics is forensic analysis of a computer's memory dump. Its primary application is investigation of advanced computer attacks which are stealthy enough to avoid leaving data on the computer's hard drive. Consequently, the memory (e.g. RAM) must be analyzed for forensic information.
User-mode memory dump, also known as minidump, [23] is a memory dump of a single process. It contains selected data records: full or partial (filtered) process memory; list of the threads with their call stacks and state (such as registers or TEB); information about handles to the kernel objects; list of loaded and unloaded libraries.
Volatility is an open-source memory forensics framework for incident response and malware analysis. It is written in Python and supports Microsoft Windows, Mac OS X, and Linux (as of version 2.5 [1]). Volatility was created by Aaron Walters, drawing on academic research he did in memory forensics. [2] [3]