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Applies plugins like pslist, psscan, vadinfo, malfind, and dlllist to extract forensic artifacts from Windows memory images. Use during incident response memory analysis.","henriquescastilho\u002Fmy-claude","henriquescastilho","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F153296945?v=4","01M6ESH7EXPXTH9CVQ4K16SRG8","Henrique Scheer","01M6ESH7JHEK2PTNNH4HEH787Z",0,"Apache-2.0","https:\u002F\u002Fgithub.com\u002Fhenriquescastilho\u002Fmy-claude\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fextracting-memory-artifacts-with-rekall\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43],"rekall","with","extracting memory artifacts with rekall","memory","artifacts","code","security-operations","memory-forensics","t1078","t1059","windows","incident response","analysis","analyze","use","memory forensics","cm","images","incident","cybersecurity","2026-11-10 10:12:30",false,"---\nname: extracting-memory-artifacts-with-rekall\ndescription: 'Uses Rekall memory forensics framework to analyze memory dumps for process\n  hollowing, injected code via VAD anomalies, hidden processes, and rootkit detection.\n  Applies plugins like pslist, psscan, vadinfo, malfind, and dlllist to extract forensic\n  artifacts from Windows memory images. Use during incident response memory analysis.\n\n  '\ndomain: cybersecurity\nsubdomain: security-operations\ntags:\n- memory-forensics\n- rekall\n- process-hollowing\n- code-injection\n- vad-analysis\n- incident-response\n- security-operations\nversion: '1.0'\nauthor: mahipal\nlicense: Apache-2.0\nnist_csf:\n- DE.CM-01\n- RS.MA-01\n- GV.OV-01\n- DE.AE-02\nmitre_attack:\n- T1078\n- T1190\n- T1059\n- T1055\n- T1005\n---\n\n# Extracting Memory Artifacts with Rekall\n\n\n## When to Use\n\n- When performing authorized security testing that involves extracting memory artifacts with rekall\n- When analyzing malware samples or attack artifacts in a controlled environment\n- When conducting red team exercises or penetration testing engagements\n- When building detection capabilities based on offensive technique understanding\n\n## Prerequisites\n\n- Familiarity with security operations concepts and tools\n- Access to a test or lab environment for safe execution\n- Python 3.8+ with required dependencies installed\n- Appropriate authorization for any testing activities\n\n## Instructions\n\nUse Rekall to analyze memory dumps for signs of compromise including process\ninjection, hidden processes, and suspicious network connections.\n\n```python\nfrom rekall import session\nfrom rekall import plugins\n\n# Create a Rekall session with a memory image\ns = session.Session(\n    filename=\"\u002Fpath\u002Fto\u002Fmemory.raw\",\n    autodetect=[\"rsds\"],\n    profile_path=[\"https:\u002F\u002Fgithub.com\u002Fgoogle\u002Frekall-profiles\u002Fraw\u002Fmaster\"]\n)\n\n# List processes\nfor proc in s.plugins.pslist():\n    print(proc)\n\n# Detect injected code\nfor result in s.plugins.malfind():\n    print(result)\n```\n\nKey analysis steps:\n1. Load memory image and auto-detect profile\n2. Run pslist and psscan to find hidden processes\n3. Use malfind to detect injected\u002Fhollowed code in process VADs\n4. Examine network connections with netscan\n5. Extract suspicious DLLs and drivers with dlllist\u002Fmodules\n\n## Examples\n\n```python\nfrom rekall import session\ns = session.Session(filename=\"memory.raw\")\n# Compare pslist vs psscan for hidden processes\npslist_pids = set(p.pid for p in s.plugins.pslist())\npsscan_pids = set(p.pid for p in s.plugins.psscan())\nhidden = psscan_pids - pslist_pids\nprint(f\"Hidden PIDs: {hidden}\")\n```\n","# Extracting Memory Artifacts with Rekall\n\n\n## When to Use\n\n- When performing authorized security testing that involves extracting memory artifacts with rekall\n- When analyzing malware samples or attack artifacts in a controlled environment\n- When conducting red team exercises or penetration testing engagements\n- When building detection capabilities based on offensive technique understanding\n\n## Prerequisites\n\n- Familiarity with security operations concepts and tools\n- Access to a test or lab environment for safe execution\n- Python 3.8+ with required dependencies installed\n- Appropriate authorization for any testing activities\n\n## Instructions\n\nUse Rekall to analyze memory dumps for signs of compromise including process\ninjection, hidden processes, and suspicious network connections.\n\n```python\nfrom rekall import session\nfrom rekall import plugins\n\n# Create a Rekall session with a memory image\ns = session.Session(\n    filename=\"\u002Fpath\u002Fto\u002Fmemory.raw\",\n    autodetect=[\"rsds\"],\n    profile_path=[\"https:\u002F\u002Fgithub.com\u002Fgoogle\u002Frekall-profiles\u002Fraw\u002Fmaster\"]\n)\n\n# List processes\nfor proc in s.plugins.pslist():\n    print(proc)\n\n# Detect injected code\nfor result in s.plugins.malfind():\n    print(result)\n```\n\nKey analysis steps:\n1. Load memory image and auto-detect profile\n2. Run pslist and psscan to find hidden processes\n3. Use malfind to detect injected\u002Fhollowed code in process VADs\n4. Examine network connections with netscan\n5. Extract suspicious DLLs and drivers with dlllist\u002Fmodules\n\n## Examples\n\n```python\nfrom rekall import session\ns = session.Session(filename=\"memory.raw\")\n# Compare pslist vs psscan for hidden processes\npslist_pids = set(p.pid for p in s.plugins.pslist())\npsscan_pids = set(p.pid for p in s.plugins.psscan())\nhidden = psscan_pids - pslist_pids\nprint(f\"Hidden PIDs: {hidden}\")\n```\n",{"name":5,"tags":49,"author":54,"domain":43,"license":15,"version":55,"nist_csf":56,"subdomain":30,"description":61,"mitre_attack":62},[31,24,50,51,52,53,30],"process-hollowing","code-injection","vad-analysis","incident-response","mahipal","1.0",[57,58,59,60],"DE.CM-01","RS.MA-01","GV.OV-01","DE.AE-02","Uses Rekall memory forensics framework to analyze memory dumps for process hollowing, injected code via VAD anomalies, hidden processes, and rootkit detection. Applies plugins like pslist, psscan, vadinfo, malfind, and dlllist to extract forensic artifacts from Windows memory images. Use during incident response memory analysis.\n",[63,64,65,66,67],"T1078","T1190","T1059","T1055","T1005","main","7925716f065257435fdb12e97f7e52842147d5ad",".claude\u002Fskills\u002Fextracting-memory-artifacts-with-rekall","https:\u002F\u002Fgithub.com\u002Fhenriquescastilho\u002Fmy-claude","https:\u002F\u002Fclaude.com\u002Fclaude-code","https:\u002F\u002Fgithub.com\u002Fhenriquescastilho","Software · Applied AI · Quantitative Modeling · Building with Claude.","2026-06-10 12:24:46",{"source":8,"skillName":5,"commands":77,"prompt":87,"zipAvailable":88},[78,81,84],{"tool":79,"command":80},"npx","npx skills add henriquescastilho\u002Fmy-claude --skill extracting-memory-artifacts-with-rekall",{"tool":82,"command":83},"bunx","bunx skills add henriquescastilho\u002Fmy-claude --skill extracting-memory-artifacts-with-rekall",{"tool":85,"command":86},"pnpm","pnpm dlx skills add henriquescastilho\u002Fmy-claude --skill extracting-memory-artifacts-with-rekall","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fhenriquescastilho\u002Fmy-claude\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fextracting-memory-artifacts-with-rekall\u002FSKILL.md",true,[90,95,101],{"path":91,"resourceType":91,"resourceTypeDesc":92,"sizeBytes":93,"sourceHtmlUrl":94},"LICENSE","许可证",11255,"https:\u002F\u002Fgithub.com\u002Fhenriquescastilho\u002Fmy-claude\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fextracting-memory-artifacts-with-rekall\u002FLICENSE",{"path":96,"resourceType":97,"resourceTypeDesc":98,"sizeBytes":99,"sourceHtmlUrl":100},"references\u002Fapi-reference.md","REFERENCE","参考文档",1650,"https:\u002F\u002Fgithub.com\u002Fhenriquescastilho\u002Fmy-claude\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fextracting-memory-artifacts-with-rekall\u002Freferences\u002Fapi-reference.md",{"path":102,"resourceType":103,"resourceTypeDesc":104,"sizeBytes":105,"sourceHtmlUrl":106},"scripts\u002Fagent.py","SCRIPT","脚本",5830,"https:\u002F\u002Fgithub.com\u002Fhenriquescastilho\u002Fmy-claude\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fextracting-memory-artifacts-with-rekall\u002Fscripts\u002Fagent.py",[108,147,156,165,187,214],{"skillNo":109,"name":110,"nameZh":6,"description":111,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":112,"licenseFileUrl":6,"sourceHtmlUrl":113,"categories":114,"keywords":129,"publishedAt":44},"01M6F0B6XPQ65AX2X0DWK8KT3E","markitdown","Convert files and office documents to Markdown. 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