# Malware Report Writing Best Practices ## Report Writing Principles ### Clarity and Precision - Use clear, unambiguous language - Define technical terms when first used - Avoid assumptions about reader's technical knowledge - Be specific with details (exact timestamps, full file paths, complete hashes) ### Completeness - Document all analysis steps taken - Include negative findings (what wasn't found is also important) - Provide sufficient context for each finding - Link behaviors to specific evidence ### Objectivity - Report facts, not opinions - Use evidence-based statements - Clearly distinguish between observations and inferences - Acknowledge limitations or uncertainties in analysis ### Actionability - Provide clear IOCs that can be operationalized - Include detection rules that are tested and validated - Give specific, prioritized remediation steps - Consider the audience (technical team, management, stakeholders) ## Structure Guidelines ### Executive Summary **Purpose:** Provide non-technical decision-makers with key information **Include:** - What the malware does (in plain language) - How critical the threat is - Immediate actions needed - Business impact if applicable **Avoid:** - Technical jargon without explanation - Excessive detail - Assumptions about reader's technical knowledge **Length:** 2-4 paragraphs maximum ### Technical Analysis Sections **Purpose:** Provide detailed evidence and technical findings **Include:** - Step-by-step methodology - Evidence with context - Screenshots/hex dumps when relevant - Analysis tool outputs - Timestamps and version information **Organize by:** - Analysis phase (static → dynamic) - System area (file system → registry → network) - Chronological order of behaviors ### IOCs Section **Purpose:** Provide immediately usable indicators **Format Guidelines:** - Group by type (file, network, host) - Include context for each IOC - Note confidence levels if uncertain - Provide expiration guidance for time-sensitive IOCs **Quality Checks:** - Remove personal/environment-specific artifacts - Verify IOCs aren't common legitimate values - Test that IOCs actually match the malware - Include both specific and generic indicators ### Detection Rules **Purpose:** Enable ongoing detection **YARA Rules:** - Test against sample to verify detection - Test against clean files to avoid false positives - Use meaningful string names and comments - Include metadata (author, date, description, hash) - Set appropriate conditions (avoid over-matching) **Sigma Rules (if applicable):** - Target specific behaviors not easily evaded - Consider false positive scenarios - Test with sample logs if possible - Document expected log sources ## Common Pitfalls to Avoid ### Over-reliance on Automated Tools - Don't just copy-paste tool output - Interpret and contextualize findings - Verify automated findings manually when critical - Acknowledge tool limitations ### Missing Context - Don't list IOCs without explaining their significance - Connect behaviors to malware capabilities - Explain why something is malicious - Provide the "so what?" for technical findings ### Incomplete IOCs - Don't provide just one hash type - Include full paths, not just filenames - Capture complete URLs, not just domains - Document registry value data, not just keys ### Poor Detection Rules - Rules that match too broadly (false positives) - Rules that are too specific (easily evaded) - Untested rules - Rules without context/comments ### Weak Remediation Guidance - Vague recommendations ("improve security") - No prioritization of actions - Steps that aren't actually actionable - Missing consideration of operational impact ## Writing Style Guide ### Technical Accuracy - Use precise technical terminology - Include version numbers for software/tools - Specify architectures (x86/x64) - Use full protocol names first mention (HTTP/HTTPS/DNS) ### Tense and Voice - Use past tense for observations ("The malware created...") - Use present tense for general facts ("The malware is a trojan...") - Prefer active voice ("The malware connected to..." vs "A connection was made...") ### Formatting Standards - Use code blocks for file paths, registry keys, commands - Use tables for structured data (sample information, IOCs) - Use bullet points for lists, not paragraphs - Bold or italicize key terms sparingly - Use consistent heading hierarchy ### Evidence Documentation - Include timestamps with timezone - Provide full file paths - Include process IDs (PIDs) for process activity - Document tool versions used - Include return codes/error messages when relevant ## Audience Considerations ### For Technical Teams - Include detailed technical evidence - Provide analysis methodology - Share tool commands used - Include raw indicators ### For Management - Focus on business impact - Translate technical findings to risk - Provide clear recommendations - Include cost/effort estimates for remediation ### For Incident Response - Prioritize IOCs and detection rules - Include timeline of events - Provide containment guidance - Document lateral movement paths ## Sample Report Improvements ### Before (Poor) "The malware is bad and does network stuff. Found some registry keys. Use this YARA rule." ### After (Good) "The malware is a backdoor trojan that establishes C2 communication with 192[.]168[.]1[.]100:8080. It achieves persistence through a registry Run key at HKCU\Software\Microsoft\Windows\CurrentVersion\Run\Update with value C:\Users\Public\svchost.exe. The included YARA rule detects based on unique API call sequences and embedded C2 configuration strings." ## Time Management Strategies ### Phase 1-2: Analysis - Perform thorough analysis - Take detailed notes - Capture all evidence (screenshots, logs) - Document as you go ### Phase 3: Detection Engineering - Finish any remaining analysis - Create detection rules - Test YARA rules - Organize all findings ### Phase 4: Report Writing - Draft all technical sections - Refine technical sections - Write executive summary and review - Final quality check before delivery **Pro Tip:** Don't wait until the end to start writing. Document findings during analysis to save time.