performing-malware-triage-with-yara

Performs rapid malware triage and classification using YARA rules to match file patterns, strings, byte sequences, and structural characteristics against known malware families and suspicious indicators. Covers rule writing, scanning, and integration with analysis pipelines. Activates for requests involving YARA rule creation, malware classification, pattern matching, sample triage, or signature-based detection.

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Repositório: autohandai/community-skills
Última atividade na origem: 16 de março de 2026 às 00:59
Idioma detectado do SKILL.md: inglês
Estrelas: 10
Forks: 3

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name	performing-malware-triage-with-yara
description	Performs rapid malware triage and classification using YARA rules to match file patterns, strings, byte sequences, and structural characteristics against known malware families and suspicious indicators. Covers rule writing, scanning, and integration with analysis pipelines. Activates for requests involving YARA rule creation, malware classification, pattern matching, sample triage, or signature-based detection.
domain	cybersecurity
subdomain	malware-analysis
tags	["malware","YARA","triage","classification","pattern-matching"]
version	1.0.0
author	mahipal
license	Apache-2.0

Performing Malware Triage with YARA

When to Use

Rapidly classifying a large batch of malware samples against known family signatures
Writing detection rules for a newly analyzed malware family based on unique byte patterns
Scanning file shares, endpoints, or memory dumps for indicators of a specific threat
Building automated triage pipelines that classify samples before manual analysis
Hunting for variants of a known threat across an enterprise using YARA scans

Do not use as the sole analysis method; YARA triage identifies known patterns but does not reveal new or unknown malware behaviors.

Prerequisites

YARA 4.x installed (apt install yara or pip install yara-python)
YARA rule repositories (YARA-Rules, awesome-yara, Malpedia rules, Florian Roth's signature-base)
Python 3.8+ with yara-python for scripted scanning
Sample collection organized in a directory structure for batch scanning
Understanding of PE file format, hex patterns, and regular expressions for rule writing

Workflow

Step 1: Scan Samples with Existing Rule Sets

Apply community and commercial YARA rules to classify samples:

# Scan a single file
yara -s malware_rules.yar suspect.exe

# Scan a directory of samples
yara -r malware_rules.yar /path/to/samples/

# Scan with multiple rule files
yara -r rules/apt_rules.yar rules/ransomware_rules.yar rules/trojan_rules.yar suspect.exe

# Scan with timeout (prevent hanging on large files)
yara -t 30 malware_rules.yar suspect.exe

# Scan and show matching strings
yara -s -r malware_rules.yar suspect.exe

# Scan with compiled rules (faster for repeated scans)
yarac malware_rules.yar compiled_rules.yarc
yara compiled_rules.yarc suspect.exe

# Download community rule sets
git clone https://github.com/Yara-Rules/rules.git yara-community-rules
git clone https://github.com/Neo23x0/signature-base.git signature-base

# Scan with signature-base
yara -r signature-base/yara/*.yar suspect.exe

Step 2: Write Rules for Unique String Patterns

Create YARA rules based on strings extracted during malware analysis:

rule MalwareX_Strings {
    meta:
        description = "Detects MalwareX based on unique strings"
        author = "analyst"
        date = "2025-09-15"
        reference = "Internal Analysis Report #1547"
        hash = "e3b0c44298fc1c149afbf4c8996fb924"
        tlp = "WHITE"

    strings:
        // C2 URL pattern
        $url1 = "/gate.php?id=" ascii
        $url2 = "/panel/connect.php" ascii

        // Unique mutex name
        $mutex = "Global\\CryptLocker_2025" ascii wide

        // User-Agent string
        $ua = "Mozilla/5.0 (compatible; MSIE 10.0)" ascii

        // Registry persistence path
        $reg = "Software\\Microsoft\\Windows\\CurrentVersion\\Run\\WindowsUpdate" ascii

        // Campaign identifier
        $campaign = "campaign_2025_q3" ascii

    condition:
        uint16(0) == 0x5A4D and      // PE file (MZ header)
        filesize < 500KB and          // Size constraint
        ($url1 or $url2) and          // At least one C2 URL
        ($mutex or $campaign) and     // Campaign identifier
        $ua                           // Specific User-Agent
}

rule MalwareX_Decryptor {
    meta:
        description = "Detects MalwareX XOR decryption routine"
        author = "analyst"
        date = "2025-09-15"

    strings:
        // XOR decryption loop (x86 assembly)
        // mov al, [esi+ecx]
        // xor al, [edi+ecx]
        // mov [esi+ecx], al
        // inc ecx
        // cmp ecx, edx
        // jl loop
        $xor_loop = { 8A 04 0E 32 04 0F 88 04 0E 41 3B CA 7C F3 }

        // RC4 KSA initialization (256-byte loop)
        $rc4_ksa = { 33 C0 88 04 ?8 40 3D 00 01 00 00 7? }

        // Embedded RSA public key marker
        $rsa_key = { 06 02 00 00 00 A4 00 00 52 53 41 31 }  // PUBLICKEYBLOB

    condition:
        uint16(0) == 0x5A4D and
        ($xor_loop or $rc4_ksa) and
        $rsa_key
}

import "pe"
import "hash"
import "math"

rule MalwareX_PE_Characteristics {
    meta:
        description = "Detects MalwareX by PE structure and imports"
        author = "analyst"

    condition:
        pe.is_pe and

        // Compiled within specific timeframe
        pe.timestamp > 1693526400 and   // After 2023-09-01
        pe.timestamp < 1727740800 and   // Before 2024-10-01

        // Specific import hash
        pe.imphash() == "a1b2c3d4e5f6a7b8c9d0e1f2a3b4c5d6" or

        // Suspicious import combination
        (
            pe.imports("kernel32.dll", "VirtualAllocEx") and
            pe.imports("kernel32.dll", "WriteProcessMemory") and
            pe.imports("kernel32.dll", "CreateRemoteThread") and
            pe.imports("wininet.dll", "InternetOpenA")
        ) or

        // High entropy .text section (packed)
        (
            for any section in pe.sections : (
                section.name == ".text" and
                math.entropy(section.raw_data_offset, section.raw_data_size) > 7.0
            )
        )
}

rule MalwareX_Rich_Header {
    meta:
        description = "Detects MalwareX by Rich header hash"

    condition:
        pe.is_pe and
        hash.md5(pe.rich_signature.clear_data) == "abc123def456abc123def456abc123de"
}

import yara
import os
import json
import hashlib
from datetime import datetime

# Compile all rule files
rule_files = {
    "apt": "rules/apt_rules.yar",
    "ransomware": "rules/ransomware_rules.yar",
    "trojan": "rules/trojan_rules.yar",
    "custom": "rules/custom_rules.yar",
}
rules = yara.compile(filepaths=rule_files)

# Scan sample directory
results = []
sample_dir = "/path/to/samples"

for filename in os.listdir(sample_dir):
    filepath = os.path.join(sample_dir, filename)
    if not os.path.isfile(filepath):
        continue

    with open(filepath, "rb") as f:
        data = f.read()
        sha256 = hashlib.sha256(data).hexdigest()

    matches = rules.match(filepath)

    result = {
        "filename": filename,
        "sha256": sha256,
        "size": len(data),
        "matches": [],
        "classification": "UNKNOWN",
    }

    for match in matches:
        result["matches"].append({
            "rule": match.rule,
            "namespace": match.namespace,
            "tags": match.tags,
            "strings": [(hex(s[0]), s[1], s[2].decode("utf-8", errors="replace")[:100])
                       for s in match.strings] if match.strings else []
        })

    if result["matches"]:
        result["classification"] = result["matches"][0]["namespace"].upper()

    results.append(result)

# Summary
classified = sum(1 for r in results if r["classification"] != "UNKNOWN")
print(f"Scanned: {len(results)} samples")
print(f"Classified: {classified} ({classified/len(results)*100:.1f}%)")
print(f"Unknown: {len(results)-classified}")

# Export results
with open("triage_results.json", "w") as f:
    json.dump(results, f, indent=2)

# Test rule syntax
yara -C custom_rules.yar

# Scan known-clean directory to check false positives
yara -r custom_rules.yar /path/to/clean_files/ > false_positives.txt
wc -l false_positives.txt

# Benchmark rule performance
time yara -r custom_rules.yar /path/to/large_sample_collection/

# Profile individual rule performance
yara -p custom_rules.yar suspect.exe

Term	Definition
YARA Rule	Pattern matching rule defining strings, byte sequences, and conditions that identify a specific file or malware family
Condition	Boolean expression combining string matches, file properties, and module functions to determine if a rule matches
Hex String	Byte pattern with optional wildcards (??) and jumps ([N-M]) for matching machine code or binary data
PE Module	YARA module providing access to PE file properties (imports, sections, timestamps, resources) for structural matching
Imphash	MD5 hash of a PE file's import table; samples from the same family often share import hashes
Rich Header	Undocumented PE structure containing compiler/linker metadata; consistent within malware build environments
YARA-C	Compiled YARA rule format enabling faster scanning by pre-compiling rules for repeated use

YARA TRIAGE RESULTS
=====================
Scan Date:        2025-09-15
Rule Sets:        apt_rules (847 rules), ransomware_rules (312 rules),
                  trojan_rules (1,204 rules), custom_rules (45 rules)
Samples Scanned:  2,500
Processing Time:  47 seconds

CLASSIFICATION SUMMARY
APT:              12 samples (0.5%)
Ransomware:       187 samples (7.5%)
Trojan:           423 samples (16.9%)
Unknown:          1,878 samples (75.1%)

TOP MATCHING RULES
Rule                         Matches  Family
MalwareX_C2_Beacon           45       MalwareX
LockBit3_Ransom_Note         38       LockBit 3.0
Emotet_Epoch5_Loader         32       Emotet
CobaltStrike_Beacon_Config   28       Cobalt Strike
QakBot_DLL_Loader            25       QakBot

SAMPLE DETAIL
File:    suspect.exe
SHA-256: e3b0c44298fc1c149afbf4c8996fb924...
Matches:
  [1] MalwareX_Strings (custom)
      - $url1 at 0x4A20: "/gate.php?id="
      - $mutex at 0x5100: "Global\\CryptLocker_2025"
  [2] MalwareX_Decryptor (custom)
      - $xor_loop at 0x401200: { 8A 04 0E 32 04 0F ... }
  [3] MalwareX_PE_Characteristics (custom)
      - PE import combination matched
Classification: MALWAREX (HIGH CONFIDENCE)