awesome-yara
PEpper
Our great sponsors
| awesome-yara | PEpper | |
|---|---|---|
| 7 | 2 | |
| 3,253 | 302 | |
| 3.1% | - | |
| 7.1 | 0.0 | |
| 19 days ago | 11 months ago | |
| YARA | ||
| GNU General Public License v3.0 or later | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
awesome-yara
- XSOAR Yara Feeds
- Incorporating YARA Into Security Processes?
-
Cybersecurity Repositories
YARA
-
YARA Rules for Malware
Check out the myriad of resources available here: https://github.com/InQuest/awesome-yara
-
Identifying packers, crypters or protectors
A signature-based approach with YARA can work to fingerprint the specific software used to obfuscate the malware. A lot of YARA rules for a variety of purposes can be found here, and it might be useful to aggregate ones you care about into your own little detection pipeline.
-
What are the best FOSS YARA rules you would recommend to deploy?
https://github.com/InQuest/awesome-yara#rules
- InQuest/awesome-yara - A curated list of awesome YARA rules, tools, and people.
PEpper
-
Identifying packers, crypters or protectors
As others have mentioned, looking at entropy is a good metric to generically determine whether or not a given sample is being packed / obfuscated in some way. Doing static analysis on the binary format itself (I'm assuming PE for Windows is the goal) is also useful, such as checking whether or not a section's raw size on disk is much smaller than the virtual size allocated in-memory for that section, which is a reliable indication of packing behavior. This project looks useful for introspecting such behaviors.
- blackeko/PEpper - An open source script to perform malware static analysis on Portable Executable
What are some alternatives?
malware-ioc - Indicators of Compromises (IOC) of our various investigations
Mobile-Security-Framework-MobSF - Mobile Security Framework (MobSF) is an automated, all-in-one mobile application (Android/iOS/Windows) pen-testing, malware analysis and security assessment framework capable of performing static and dynamic analysis.
signature-base - YARA signature and IOC database for my scanners and tools
Detect-It-Easy - Program for determining types of files for Windows, Linux and MacOS.
awesome-malware-analysis - Defund the Police.
Qu1cksc0pe - All-in-One malware analysis tool.
yara - The pattern matching swiss knife
audit-node-modules-with-yara - Audit Node Module folder with YARA rules to identify possible malicious packages hiding in node_moudles
rules - Repository of yara rules