update lists

terminal/malwareanalysis

@@ -1,4 +1,4 @@
-                             Awesome Malware Analysis !Awesome (https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg) (https://github.com/sindresorhus/awesome)
+                                  Awesome Malware Analysis !Awesome (https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg) (https://github.com/sindresorhus/awesome)
 
 A curated list of awesome malware analysis tools and resources. Inspired by
 awesome-python (https://github.com/vinta/awesome-python) and
@@ -35,7 +35,7 @@
 
 View Chinese translation: 恶意软件分析大合集.md (恶意软件分析大合集.md).
 
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 Malware Collection
 
@@ -61,7 +61,7 @@
 ⟡ Dionaea (https://github.com/DinoTools/dionaea) - Honeypot designed to trap malware.
 ⟡ Glastopf (https://github.com/mushorg/glastopf) - Web application honeypot.
 ⟡ Honeyd (http://www.honeyd.org/) - Create a virtual honeynet.
-⟡ HoneyDrive (http://bruteforcelab.com/honeydrive) - Honeypot bundle Linux distro.
+⟡ HoneyDrive (https://bruteforce.gr/honeydrive/) - Honeypot bundle Linux distro.
 ⟡ Honeytrap (https://github.com/honeytrap/honeytrap) - Opensource system for running, monitoring and managing honeypots.
 ⟡ MHN (https://github.com/pwnlandia/mhn) - MHN is a centralized server for management and data collection of honeypots. MHN allows you to deploy sensors quickly and to collect data immediately, viewable from a neat web interface.
 ⟡ Mnemosyne (https://github.com/johnnykv/mnemosyne) - A normalizer for
@@ -74,7 +74,7 @@
 
 Malware samples collected for analysis.
 
-⟡ Clean MX (http://support.clean-mx.de/clean-mx/viruses.php) - Realtime
+⟡ Clean MX (http://support.clean-mx.com/clean-mx/viruses.php) - Realtime
   database of malware and malicious domains.
 ⟡ Contagio (http://contagiodump.blogspot.com/) - A collection of recent
   malware samples and analyses.
@@ -87,8 +87,6 @@
   rapid identification and actionable context for malware investigations.
 ⟡ Malshare (https://malshare.com) - Large repository of malware actively
   scrapped from malicious sites.
-⟡ Open Malware Project (http://openmalware.org/) - Sample information and
-  downloads. Formerly Offensive Computing.
 ⟡ Ragpicker (https://github.com/robbyFux/Ragpicker) - Plugin based malware
   crawler with pre-analysis and reporting functionalities
 ⟡ theZoo (https://github.com/ytisf/theZoo) - Live malware samples for
@@ -304,6 +302,7 @@
   traffic analysis of Linux malwares and capturing IOCs.
 ⟡ DRAKVUF (https://github.com/tklengyel/drakvuf) - Dynamic malware analysis
   system.
+⟡ filescan.io (https://www.filescan.io/) - Static malware analysis, VBA/Powershell/VBS/JS Emulation  
 ⟡ firmware.re (http://firmware.re/) - Unpacks, scans and analyzes almost any
   firmware package.
 ⟡ HaboMalHunter (https://github.com/Tencent/HaboMalHunter) - An Automated Malware
@@ -649,8 +648,7 @@
   for x86 and x86_64.
 ⟡ Vivisect (https://github.com/vivisect/vivisect) - Python tool for
   malware analysis.
-⟡ WinDbg (https://developer.microsoft.com/en-us/windows/hardware/download-windbg) - multipurpose debugger for the Microsoft Windows computer operating system, used to debug user mode applications, device drivers, and the kernel-mode 
-memory dumps.
+⟡ WinDbg (https://developer.microsoft.com/en-us/windows/hardware/download-windbg) - multipurpose debugger for the Microsoft Windows computer operating system, used to debug user mode applications, device drivers, and the kernel-mode memory dumps.
 ⟡ X64dbg (https://github.com/x64dbg/) - An open-source x64/x32 debugger for windows.
 
 Network
@@ -802,7 +800,7 @@
 ⟡ Santoku Linux (https://santoku-linux.com/) - Linux distribution for mobile
   forensics, malware analysis, and security.
 
-                                                                                                                 Resources
+                                                                                                                      Resources
 
 Books
 
@@ -811,8 +809,7 @@
 ⟡ Learning Malware Analysis (https://www.packtpub.com/networking-and-servers/learning-malware-analysis) - Learning Malware Analysis: Explore the concepts, tools, and techniques to analuze and investigate Windows malware
 ⟡ Malware Analyst's Cookbook and DVD (https://amzn.com/dp/0470613033) -
   Tools and Techniques for Fighting Malicious Code.
-⟡ Mastering Malware Analysis
- (https://www.packtpub.com/networking-and-servers/mastering-malware-analysis) - Mastering Malware Analysis: The complete malware analyst's guide to combating malicious software, APT, cybercime, and IoT attacks
+⟡ Mastering Malware Analysis (https://www.packtpub.com/networking-and-servers/mastering-malware-analysis) - Mastering Malware Analysis: The complete malware analyst's guide to combating malicious software, APT, cybercime, and IoT attacks
 ⟡ Mastering Reverse Engineering (https://www.packtpub.com/networking-and-servers/mastering-reverse-engineering) - Mastering Reverse Engineering: Re-engineer your ethical hacking skills
 ⟡ Practical Malware Analysis (https://amzn.com/dp/1593272901) - The Hands-On
   Guide to Dissecting Malicious Software.
@@ -878,11 +875,12 @@
 
 
 
-                                                                                                           Related Awesome Lists
+                                                                                                                Related Awesome Lists
 
 ⟡ Android Security (https://github.com/ashishb/android-security-awesome)
 ⟡ AppSec (https://github.com/paragonie/awesome-appsec)
 ⟡ CTFs (https://github.com/apsdehal/awesome-ctf)
+⟡ Executable Packing (https://github.com/dhondta/awesome-executable-packing)
 ⟡ Forensics (https://github.com/Cugu/awesome-forensics)
 ⟡ "Hacking" (https://github.com/carpedm20/awesome-hacking)
 ⟡ Honeypots (https://github.com/paralax/awesome-honeypots)
@@ -895,12 +893,12 @@
 ⟡ Threat Intelligence (https://github.com/hslatman/awesome-threat-intelligence)
 ⟡ YARA (https://github.com/InQuest/awesome-yara)
 
-                                                                                                       Contributing (CONTRIBUTING.md)
+                                                                                                            Contributing (CONTRIBUTING.md)
 
 Pull requests and issues with suggestions are welcome! Please read the
 CONTRIBUTING (CONTRIBUTING.md) guidelines before submitting a PR.
 
-                                                                                                                   Thanks
+                                                                                                                        Thanks
 
 This list was made possible by:
 
@@ -912,3 +910,5 @@
 ⟡ And everyone else who has sent pull requests or suggested links to add here!
 
 Thanks!
+
+malwareanalysis Github: https://github.com/rshipp/awesome-malware-analysis