Binary Library, or “BinLib”, is a collection of data and metadata pertaining to executable binaries, such as EXE or ELF files, that have been observed within your organization(s). When enabled, this extension collects observed data into your own private collection of historical executables, then subsequently available for searching, tagging, and analysis. BinLib also features YARA scanning, allowing you to import rules and search across observed executables - all without impacting system resources or production systems.

With BinLib, LimaCharlie customers can realize their own private corpus of historical executable data, as observed across their environment(s). Furthermore, LimaCharlie’s multi-platform parity enables analysis across Windows, Linux, and Mac executables. Binaries can be tagged and historical searches can help identify the presence of malicious files within an organization(s).

To learn more about how you can create your own private executable library with LimaCharlie, you can begin by using our full-featured free tier (https://app.limacharlie.io/signup) or schedule a demo with our solution engineers (https://info.limacharlie.io/demo).