CaptfEncoder
MemLabs
Our great sponsors
CaptfEncoder | MemLabs | |
---|---|---|
6 | 6 | |
1,136 | 1,520 | |
- | - | |
3.7 | 2.6 | |
6 months ago | about 3 years ago | |
JavaScript | Shell | |
MIT License | MIT License |
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CaptfEncoder
MemLabs
- Platform for training digital forensics
- MemLabs: Learn Memory Forensics through CTF-styled labs
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Best site for memory forensic test
MemLabs https://github.com/stuxnet999/MemLabs
- New to Forensics, Drop some Forensics tools/training content
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forensics volatility
Volatility Foundation Volatility Framework 2.6 Usage: Volatility - A memory forensics analysis platform. Options: -h, --help list all available options and their default values. Default values may be set in the configuration file (/etc/volatilityrc) --conf-file=/root/.volatilityrc User based configuration file -d, --debug Debug volatility --plugins=PLUGINS Additional plugin directories to use (colon separated) --info Print information about all registered objects --cache-directory=/root/.cache/volatility Directory where cache files are stored --cache Use caching --tz=TZ Sets the (Olson) timezone for displaying timestamps using pytz (if installed) or tzset -f FILENAME, --filename=FILENAME Filename to use when opening an image --profile=WinXPSP2x86 Name of the profile to load (use --info to see a list of supported profiles) -l LOCATION, --location=LOCATION A URN location from which to load an address space -w, --write Enable write support --dtb=DTB DTB Address --shift=SHIFT Mac KASLR shift address --output=text Output in this format (support is module specific, see the Module Output Options below) --output-file=OUTPUT_FILE Write output in this file -v, --verbose Verbose information --physical_shift=PHYSICAL_SHIFT Linux kernel physical shift address --virtual_shift=VIRTUAL_SHIFT Linux kernel virtual shift address -g KDBG, --kdbg=KDBG Specify a KDBG virtual address (Note: for 64-bit Windows 8 and above this is the address of KdCopyDataBlock) ... LABS SET UP This scenario will be using MemLabs cloned from https://github.com/stuxnet999/MemLabs. The labs contain the CTF memory images as referenced earlier.
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I saw my definition of a worst case scenario today, all because the client didn't want to spend a little bit of money a couple years ago.
I think your best bet to start today is to start looking at self-education options (all over youtube, reddit, google) and start shopping for jobs that either have big training budgets or are at a service provider/vendor that offers IR and try to move laterally within it. You'd be surprised by what you get from just shooting your shot. You could consider some really basic certs like Sec + (avoid CEH like the plague unless you're gov't.) or Blue Team Level 1. I like to watch guys like 13cubed, or the surviving digital forensics podcasts and courses. Also just stay aware of infosec news from sources like brian krebs or cyberwire daily. Some other things to think about are ashemery.com/dfir.html and https://github.com/stuxnet999/MemLabs for some good exercises. Don't feel bad for using walkthroughs your first few times. SANS 3 minutes max is also great for quick topics in DFIR
What are some alternatives?
opencti - Open Cyber Threat Intelligence Platform
MemProcFS-Analyzer - MemProcFS-Analyzer - Automated Forensic Analysis of Windows Memory Dumps for DFIR
N1 - :love_letter: An extensible desktop mail app built on the modern web. Forks welcome!
mal_unpack - Dynamic unpacker based on PE-sieve
megahash - A super-fast C++ hash table with Node.js wrapper, tested up to 1 billion keys.
Kuiper - Digital Forensics Investigation Platform
StegCloak - Hide secrets with invisible characters in plain text securely using passwords 🧙🏻♂️⭐
hayabusa - Hayabusa (隼) is a sigma-based threat hunting and fast forensics timeline generator for Windows event logs.
SSHAgentSecureProxy - Secure SSH Agent proxy for linux/mac desktop environment.
my-arsenal-of-aws-security-tools - List of open source tools for AWS security: defensive, offensive, auditing, DFIR, etc.
haiti - :key: Hash type identifier (CLI & lib)
robot_hacking_manual - Robot Hacking Manual (RHM). From robotics to cybersecurity. Papers, notes and writeups from a journey into robot cybersecurity.