malware-analysis
Skill35 starsChanged 44 days agoMITView on GitHub
Use when characterising a malware sample, the user asks "what does this binary do?" / "analyse this hash deeply", or `/hash-investigation` flags a novel sample warranting deeper review. Static + dynamic methodology, behavioural indicators, sandbox interpretation.
14 other projects use a version of this.
Adopted by
Most recently taken up by
- lza6/claw-code-tingfengtheir own version, first seen Nov 1, 2026
- lushun2014/lushibo-skillstheir own version, first seen Oct 15, 2026
- 2233admin/reverse-skill-evolvertheir own version, first seen Oct 15, 2026
- zhaoxuya520/reverse-skill-privatetheir own version, first seen Oct 8, 2026
- DorianGallo/reverse-skilltheir own version, first seen Oct 8, 2026
- z91772524-ai/pojia-next-mactheir own version, first seen Sep 28, 2026
Used with
Projects with it also use attack-chain, binary-diff and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
DorianGalloSkillattack-chain
Also in 6 projects that use this
DorianGalloSkillbinary-diff
跨版本符号迁移与二进制差分。当你有旧版本的符号/逆向结果,需要快速迁移到新版本时使用。 适用场景:内核缺 PDB 用旧版符号推导、程序更新后批量迁移函数名、应用更新后快速定位新偏移。 核心方法:用 LLM 做结构化差异比对,程序化输入输出,成本极低(200 函数 ~1 元)。 触发关键词:符号迁移、bindiff、跨版本、PDB 缺失、函数偏移迁移、symbol migration、binary diff、版本对比。
Also in 6 projects that use this
Roshu18Skillpentest-tools
Tool selection policy for BearStrike based on target type, scan risk, and signal strength.
Also in 6 projects that use this
hardw00tSkillllm-security
LLM and AI application security testing skill for prompt injection (direct, indirect, multimodal), system-prompt extraction, RAG poisoning, memory poisoning, MCP server injection, skill-file injection, agentic tool misuse, computer-use UI injection, and excessive agency. Authorization required — this skill tests AI systems you are explicitly permitted to assess. Triggers on requests to test LLM / AI-agent / RAG / MCP / computer-use security, perform prompt injection, extract system prompts, poison RAG or memory, audit agent tool use, or evaluate AI guardrails.
Also in 6 projects that use this
- +8 more from DorianGallo
Other versions14 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 14
- zhaoxuya520/reverse-skill-private★ 40ksame name
- zhaoxuya520/reverse-skill★ 38ksame name
- hypnguyen1209/offensive-claude★ 401same name
- tsale/awesome-dfir-skills★ 323same name
- gl0bal01/malware-analysis-claude-skills★ 46same name
- z91772524-ai/pojia-next-mac★ 39same name
- 2233admin/reverse-skill-evolver★ 26same name
- Snausage0x45/ClaudeSkills★ 6same name
- lza6/claw-code-tingfeng★ 5same name
- DorianGallo/reverse-skill★ 2same name
4 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository79 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
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- lookup-liberty91Skill
- lookup-mispSkill
- lookup-openctiSkill
- lookup-otxSkill
- lookup-ransomwareliveSkill
- lookup-reversinglabsSkill
- lookup-sentinelSkill
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- lookup-virustotalSkill
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- osint-methodologySkill
- otx-apiSkill
- phishing-social-engineeringSkill
- pir-managementSkill
- quality-controlSkill
- quality-of-information-checkSkill
- ransomware-ecosystemSkill
- reversinglabs-apiSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
2 rules. 0 are common, 2 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 6 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 16
Compilation timestamp: When was it compiled? Anomalous dates suggest timestomping.
- Distinctive: line 59
Run/RunOnce keys (persistence)
“Common” is measured: kept by at least 6 in 10 of the 6 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Malware Analysis Guide
This skill provides analytical guidance for understanding malware samples. It does NOT execute malware — it tells you what to look for in analysis reports, sandbox results, and VirusTotal data.
Static Analysis
PE Header Analysis
- Compilation timestamp: When was it compiled? Anomalous dates suggest timestomping.
- Sections: Unusual section names (not .text/.data/.rss/.reloc) suggest packing or custom builders.
- Entropy: High entropy (>7.0) in sections suggests encryption or compression (packed).
- Imports: Key suspicious imports indicate behavior:
| Import | Indicates |
| VirtualAlloc, VirtualProtect | Memory manipulation (injection, unpacking) |
| CreateRemoteThread, WriteProcessMemory | Process injection (T1055) |
| RegSetValueEx, RegCreateKeyEx | Registry persistence (T1547) |
| InternetOpenUrl, HttpSendRequest | Network communication (T1071) |
| CryptEncrypt, CryptDecrypt | Encryption (ransomware or C2 encryption) |
| CreateService, StartService | Service persistence (T1543) |
| AdjustTokenPrivileges | Privilege escalation (T1134) |
| IsDebuggerPresent, CheckRemoteDebuggerPresent | Anti-analysis (T1622) |
String Analysis
Look for:
- URLs, IP addresses, domain names (C2 infrastructure)
- File paths (drop locations, persistence targets)
- Registry keys (persistence mechanisms)
- User-Agent strings (C2 communication patterns)
- Encryption keys or encoded data
- Error messages or debug strings (developer artifacts)
- Mutex names (used to prevent multiple instances)
Packer Identification
Common packers: UPX, Themida, VMProtect, ASPack, MPRESS. Packed samples need unpacking before full static analysis. High entropy + few meaningful strings = likely packed.
Dynamic Analysis (Sandbox Interpretation)
Process Behavior
- Child processes spawned (especially cmd.exe, powershell.exe, wscript.exe)
- Process injection into legitimate processes (svchost, explorer, lsass)
- Privilege escalation attempts
- Anti-analysis checks (VM detection, sandbox detection, timing checks)
File System Activity
- Files dropped (where? what type?)
- Files modified (host files, configuration files)
- Files deleted (covering tracks, removing competitors)
Registry Activity
- Run/RunOnce keys (persistence)
- Service creation (persistence)
- Firewall rule modification (defense evasion)
- Security tool disabling
Network Activity
- DNS queries (C2 domains, DGA-generated domains)
- HTTP/HTTPS connections (C2 communication, data exfiltration)
- Raw TCP/UDP connections (custom protocol C2)
- Certificate information (self-signed = suspicious)
Analysis Output Template
## Malware Analysis: [Sample Name/Hash]
### Sample Information
- SHA-256: [hash]
- File type: [PE/ELF/document/script]
- File size: [bytes]
- First seen: [date]
- Detection ratio: [X/Y from VT]
- Family: [if identified]
### Static Analysis Findings
- Compilation: [timestamp, language, compiler]
- Packing: [packer identified or unpacked]
- Key imports: [suspicious APIs]
- Notable strings: [C2, paths, keys, mutexes]
### Dynamic Behavior
- Execution chain: [parent → child processes]
- Persistence: [mechanism and location]
- C2 communication: [protocol, destination, pattern]
- Data collection: [what data is targeted]
- Defense evasion: [anti-analysis, obfuscation]
### MITRE ATT&CK Mapping
| Tactic | Technique | Observed Behavior |
|--------|-----------|-------------------|
### IOCs Extracted
| Type | Value | Context |
|------|-------|---------|
### Assessment
[What is this malware? What does it do? Who might use it? Confidence level.]Tooling for the sections above
When the sample is available in ReversingLabs Spectra Analyze (A1000), /lookup-reversinglabs report <hash> --detailed is the single richest source for almost everything on this page — it returns vendor-authoritative classification, TitaniumCore static analysis (headers, imports, strings, packer detection), attack (auto-mapped MITRE ATT&CK tactics + techniques from observed behaviour), rl_cloud_sandbox (dynamic analysis output), and networkthreatintelligence (C2 indicators extracted from the sample). Use it to pre-fill the MITRE ATT&CK Mapping and IOCs Extracted tables in the output template before doing your own analysis. Pivot to siblings in the same family with /lookup-reversinglabs search 'threatname:<family> classification:malicious', and to parent/child relationships with containers / extracted.
Related skills
- Sample triage before deep analysis —
/hash-investigationfor VT detection ratio, family attribution, behaviour tags, and pre-existing community context. If detection is high and family is known, the lookup may be sufficient. - Vendor-authoritative analysis —
/lookup-reversinglabs report <hash> --detailedfor classification, MITRE ATT&CK mapping, sandbox, and network indicators in a single call. Run this whenever RL credentials are configured — it shortcuts most of the manual static + dynamic interpretation below. - C2 and infrastructure extraction —
/lookup-virustotal file <hash> --relationships contacted_ips,contacted_domains,contacted_urls,communicating_files,dropped_files,parent_files(VT) and/lookup-reversinglabs report <hash> --fields networkthreatintelligence(RL); pivot each via/indicator-pivoting - Vendor actor attribution —
/lookup-crowdstrike indicator <hash>for the threat actors and malware family CrowdStrike Falcon Intel links to the sample, plus report references; then/lookup-crowdstrike ttps <actor>to pull that actor's ATT&CK technique set into the MITRE ATT&CK Mapping table. Run whenever CrowdStrike credentials are configured. - Community attribution —
/lookup-otx file <hash>for pulses and YARA matches - First-party correlation —
/lookup-liberty91 ioc-lookup <hash>for the platform's own verdict, thenlibrary malware --name "<family>"(or--aliasfor a vendor's name) andentity malware <id> --section techniques|iocs|threat-eventsfor the canonical family record: dated ATT&CK observations, associated indicators, and the occurrences the family has been named in - Internal correlation —
/lookup-misp search-attributes --value <hash>and/or/lookup-opencti lookup <hash>to surface prior catalogued intel; if the analysis produces new indicators worth keeping,/lookup-misp add-attribute/create-eventand/or/lookup-opencti create-indicator - Ransomware-family lineage —
/lookup-ransomwarelive yara <group>andiocs <group>provide a curated reference set if VT family classification points to a known group - Detection authoring —
/yara-writingfor family/sample rules;/sigma-writingfor behavioural detection - Apply rigor —
/score-source,/apply-tlp,/confidence-language
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