
This lesson requires Loopus Pro access. Upgrade to unlock all courses, labs, and challenges.
Beyond string matching, YARA modules provide structured access to file formats. The PE module analyzes Windows executables. Other modules handle ELF, Mach-O, and encrypted/obfuscated content.
The PE module parses Windows executable structure:
import "pe"
rule suspicious_packer {
condition:
pe.number_of_sections < 3 and
pe.entry_point > pe.sections[0].raw_data_size
}
Common PE module features:
pe.number_of_sections - Section count (few sections may indicate packing)
pe.entry_point - Entry point offset
pe.sections - Array of sections with name, characteristics, size
pe.imports - Imported functions by DLL
pe.exports - Exported functions
pe.signatures - Digital signature information
Family-specific rules target known characteristics:
rule emotet_loader {
meta:
description = "Detects Emotet loader"
family = "Emotet"
strings:
$enc_routine = { 8B ?? 24 ?? 35 ?? ?? ?? ?? 89 }
$api_hash = { 68 ?? ?? ?? ?? E8 ?? ?? ?? ?? 85 C0 }
$string1 = "Microsoft\Windows"
condition:
uint16(0) == 0x5A4D and
($enc_routine or $api_hash) and
$string1
}
Combine:
Organize rules into sets by purpose:
yarGen generates rules from sample sets automatically, extracting unique strings.
yaraQA validates rules and checks for common errors.
Test against goodware. A rule matching Windows system files produces constant false positives. Build test sets of legitimate files to verify clean scan.
Update rules as malware evolves. Version control tracks changes. Review threat intelligence for new variants requiring rule updates.
How do you run YARA scans?
What command scans a folder with YARA?
How do you optimize YARA rules?
What term describes an accurate malware match?
Found the flag? Submit it below to complete this lesson.
Format: LOOPUS{...}