![]() ![]() VQL is designed to deal with many rows (e.g. Performance issues in the OSQuery file table have been discussed previously (see ) and the advice is to just be more targeted in your queries, however if you need to know if a file exists anywhere on the disk then an exhaustive search is necessary.Īlthough being targeted is helpful, With VQL we can confidently run the exhaustive search because VQL has our back, in case our queries are more expensive than expected. Click on the top cell and add a new VQL cell where you can write arbitrary queries. Simply select Notebooks from the sidebar and add a new notebook. You can test the VQL in the Velociraptor notebook right in the GUI. SELECT * FROM glob(globs=”C:\\Windows\\System32\\*.dll”) SELECT * FROM file WHERE path like “C:\Windows\system32\%.dll” For example to return all dlls in the system32 directory: OSQuery allows us to specify a wildcard for filenames as well, however it uses the SQL like syntax. So far both queries simply return a single row for a specific file. (Note also that VQL does not use a semicolon “ ” as a statement separator - it is not needed, just string multiple statements together). wildcards) to search the filesystem directly. The VQL equivalent to the file table is the glob() plugin, which accepts a glob expression (i.e. Therefore VQL’s syntax requires “tables” to take arguments (in VQL these are termed plugins): OSQUERY REGEXP CODEThe main realization in VQL was that unlike in a relational database, tables are implemented by code, the code must be able to accept arguments. It is therefore required that a WHERE clause is provided and the path or directory be restricted in some way.Ĭompare this to VQL. OSQUERY REGEXP FULLTo avoid a full scan of the filesystem, OSQuery peeks at the WHERE clause to figure out what it needs to do. SELECT * FROM file WHERE path = “C:\Windows\notepad.exe” īecause OSQuery uses SQL as its underlying implementation, there is no way to tell the query that it is only interested in a single file (A naive implementation would scan all files on disk and compare the path by the condition eliminating all but one - a very expensive approach!). For example we can see information about a file: One of the most often used OSQuery table is the file table. ![]() ![]() This post does not compare the scalability, ease of deployment and management GUI of OSQuery‘s various fleet implementations with Velociraptor’s - we only look at the query language itself. This side by side comparison hopefully sheds some light on VQL and will encourage you to start writing new VQL artifacts. This post aims to help this migration by comparing typical OSQuery queries with native VQL Velociraptor queries. It is much better to write VQL queries within Velociraptor, since VQL is much more powerful and also much faster. This integration, however, is simply a stopgap measure during migration. I have written previously about Velociraptor’s OSQuery integration, allowing OSQuery queries to run directly inside Velociraptor. Many new Velociraptor users have existing OSQuery queries and installations and are migrating to Velociraptor for powerful and efficient endpoint visibility. OSQuery was historically a proof that a powerful query language was the way forward, and VQL was designed to improve on OSQuery and push the state of the art. Back in the day, it became clear to me that the way to provide unprecedented flexibility for endpoint visibility was to have a flexible and powerful query language. OSQuery has been around for a while now, and was actually the initial inspiration for Velociraptor. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |