[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M73C86A09DP257574WHJ2GVB":3,"skill-same:01M73C86A09DP257574WHJ2GVB":113},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":16,"sourceHtmlUrl":17,"categories":18,"keywords":19,"publishedAt":20,"linkOnly":21,"markdownContent":22,"markdownBody":23,"frontMatter":24,"refName":55,"commitSha":56,"skillDirectory":57,"forksCount":58,"repositoryHtmlUrl":59,"repositoryHomepageUrl":60,"ownerHtmlUrl":61,"ownerBlogUrl":62,"ownerDescription":63,"updatedAt":64,"install":65,"resources":78},"01M73C86A09DP257574WHJ2GVB","hunting-for-shadow-copy-deletion",null,"Hunt for Volume Shadow Copy deletion activity that indicates ransomware preparation or anti-forensics by monitoring vssadmin, wmic, and PowerShell shadow copy commands.","Horonomos-laps\u002FYana-AI","Horonomos-laps","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F355299122?v=4","01M76B3QPXE88ET2SQPDPVATZT"," Horonomos-laps","01M72ZQRJPCYPSSWT4D00VJR2A",13,"Apache-2.0","https:\u002F\u002Fgithub.com\u002Fyanacuti1121\u002FYana-AI\u002Fblob\u002Fmain\u002Fcore\u002Fskills\u002Fhunting-for-shadow-copy-deletion\u002FLICENSE","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002Fcore\u002Fskills\u002Fhunting-for-shadow-copy-deletion\u002FSKILL.md",[],[],"2026-11-11 15:11:14",false,"---\nname: hunting-for-shadow-copy-deletion\ndescription: Hunt for Volume Shadow Copy deletion activity that indicates ransomware\n  preparation or anti-forensics by monitoring vssadmin, wmic, and PowerShell shadow\n  copy commands.\ndomain: cybersecurity\nsubdomain: threat-hunting\ntags:\n- threat-hunting\n- mitre-attack\n- shadow-copy\n- ransomware\n- anti-forensics\n- t1490\n- proactive-detection\nversion: '1.0'\nauthor: mahipal\nlicense: Apache-2.0\nd3fend_techniques:\n- Platform Hardening\n- Restore Object\n- Restore Configuration\n- Restore Software\n- Software Update\nnist_csf:\n- DE.CM-01\n- DE.AE-02\n- DE.AE-07\n- ID.RA-05\nmitre_attack:\n- T1046\n- T1057\n- T1082\n- T1083\n- T1486\nsource: https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\nsource_commit: 04450304b12645cb2b974ab96d28c0664758a88d\n---\n\n# Hunting For Shadow Copy Deletion\n\n## When to Use\n\n- When proactively hunting for indicators of hunting for shadow copy deletion in the environment\n- After threat intelligence indicates active campaigns using these techniques\n- During incident response to scope compromise related to these techniques\n- When EDR or SIEM alerts trigger on related indicators\n- During periodic security assessments and purple team exercises\n\n## Prerequisites\n\n- EDR platform with process and network telemetry (CrowdStrike, MDE, SentinelOne)\n- SIEM with relevant log data ingested (Splunk, Elastic, Sentinel)\n- Sysmon deployed with comprehensive configuration\n- Windows Security Event Log forwarding enabled\n- Threat intelligence feeds for IOC correlation\n\n## Workflow\n\n1. **Formulate Hypothesis**: Define a testable hypothesis based on threat intelligence or ATT&CK gap analysis.\n2. **Identify Data Sources**: Determine which logs and telemetry are needed to validate or refute the hypothesis.\n3. **Execute Queries**: Run detection queries against SIEM and EDR platforms to collect relevant events.\n4. **Analyze Results**: Examine query results for anomalies, correlating across multiple data sources.\n5. **Validate Findings**: Distinguish true positives from false positives through contextual analysis.\n6. **Correlate Activity**: Link findings to broader attack chains and threat actor TTPs.\n7. **Document and Report**: Record findings, update detection rules, and recommend response actions.\n\n## Key Concepts\n\n| Concept | Description |\n|---------|-------------|\n| T1490 | Inhibit System Recovery |\n| T1486 | Data Encrypted for Impact |\n| T1485 | Data Destruction |\n\n## Tools & Systems\n\n| Tool | Purpose |\n|------|---------|\n| CrowdStrike Falcon | EDR telemetry and threat detection |\n| Microsoft Defender for Endpoint | Advanced hunting with KQL |\n| Splunk Enterprise | SIEM log analysis with SPL queries |\n| Elastic Security | Detection rules and investigation timeline |\n| Sysmon | Detailed Windows event monitoring |\n| Velociraptor | Endpoint artifact collection and hunting |\n| Sigma Rules | Cross-platform detection rule format |\n\n## Common Scenarios\n\n1. **Scenario 1**: Ransomware deleting shadow copies before encryption\n2. **Scenario 2**: vssadmin delete shadows \u002Fall \u002Fquiet pre-encryption\n3. **Scenario 3**: WMIC shadowcopy delete via PowerShell\n4. **Scenario 4**: bcdedit disabling recovery mode before impact\n\n## Output Format\n\n```\nHunt ID: TH-HUNTIN-[DATE]-[SEQ]\nTechnique: T1490\nHost: [Hostname]\nUser: [Account context]\nEvidence: [Log entries, process trees, network data]\nRisk Level: [Critical\u002FHigh\u002FMedium\u002FLow]\nConfidence: [High\u002FMedium\u002FLow]\nRecommended Action: [Containment, investigation, monitoring]\n```\n","# Hunting For Shadow Copy Deletion\n\n## When to Use\n\n- When proactively hunting for indicators of hunting for shadow copy deletion in the environment\n- After threat intelligence indicates active campaigns using these techniques\n- During incident response to scope compromise related to these techniques\n- When EDR or SIEM alerts trigger on related indicators\n- During periodic security assessments and purple team exercises\n\n## Prerequisites\n\n- EDR platform with process and network telemetry (CrowdStrike, MDE, SentinelOne)\n- SIEM with relevant log data ingested (Splunk, Elastic, Sentinel)\n- Sysmon deployed with comprehensive configuration\n- Windows Security Event Log forwarding enabled\n- Threat intelligence feeds for IOC correlation\n\n## Workflow\n\n1. **Formulate Hypothesis**: Define a testable hypothesis based on threat intelligence or ATT&CK gap analysis.\n2. **Identify Data Sources**: Determine which logs and telemetry are needed to validate or refute the hypothesis.\n3. **Execute Queries**: Run detection queries against SIEM and EDR platforms to collect relevant events.\n4. **Analyze Results**: Examine query results for anomalies, correlating across multiple data sources.\n5. **Validate Findings**: Distinguish true positives from false positives through contextual analysis.\n6. **Correlate Activity**: Link findings to broader attack chains and threat actor TTPs.\n7. **Document and Report**: Record findings, update detection rules, and recommend response actions.\n\n## Key Concepts\n\n| Concept | Description |\n|---------|-------------|\n| T1490 | Inhibit System Recovery |\n| T1486 | Data Encrypted for Impact |\n| T1485 | Data Destruction |\n\n## Tools & Systems\n\n| Tool | Purpose |\n|------|---------|\n| CrowdStrike Falcon | EDR telemetry and threat detection |\n| Microsoft Defender for Endpoint | Advanced hunting with KQL |\n| Splunk Enterprise | SIEM log analysis with SPL queries |\n| Elastic Security | Detection rules and investigation timeline |\n| Sysmon | Detailed Windows event monitoring |\n| Velociraptor | Endpoint artifact collection and hunting |\n| Sigma Rules | Cross-platform detection rule format |\n\n## Common Scenarios\n\n1. **Scenario 1**: Ransomware deleting shadow copies before encryption\n2. **Scenario 2**: vssadmin delete shadows \u002Fall \u002Fquiet pre-encryption\n3. **Scenario 3**: WMIC shadowcopy delete via PowerShell\n4. **Scenario 4**: bcdedit disabling recovery mode before impact\n\n## Output Format\n\n```\nHunt ID: TH-HUNTIN-[DATE]-[SEQ]\nTechnique: T1490\nHost: [Hostname]\nUser: [Account context]\nEvidence: [Log entries, process trees, network data]\nRisk Level: [Critical\u002FHigh\u002FMedium\u002FLow]\nConfidence: [High\u002FMedium\u002FLow]\nRecommended Action: [Containment, investigation, monitoring]\n```\n",{"name":5,"tags":25,"author":33,"domain":34,"source":35,"license":15,"version":36,"nist_csf":37,"subdomain":26,"description":7,"mitre_attack":42,"source_commit":48,"d3fend_techniques":49},[26,27,28,29,30,31,32],"threat-hunting","mitre-attack","shadow-copy","ransomware","anti-forensics","t1490","proactive-detection","mahipal","cybersecurity","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills","1.0",[38,39,40,41],"DE.CM-01","DE.AE-02","DE.AE-07","ID.RA-05",[43,44,45,46,47],"T1046","T1057","T1082","T1083","T1486","04450304b12645cb2b974ab96d28c0664758a88d",[50,51,52,53,54],"Platform Hardening","Restore Object","Restore Configuration","Restore Software","Software 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Use when investigating suspicious endpoint behavior, building detection rules for evasion tactics, or conducting threat hunting for stealthy adversary activity. Activates for requests involving evasion detection, defense evasion analysis, log tampering detection, or MITRE ATT&CK TA0005.","https:\u002F\u002Fgithub.com\u002Fyanacuti1121\u002FYana-AI\u002Fblob\u002Fmain\u002Fcore\u002Fskills\u002Fdetecting-evasion-techniques-in-endpoint-logs\u002FLICENSE","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002Fcore\u002Fskills\u002Fdetecting-evasion-techniques-in-endpoint-logs\u002FSKILL.md",[],[],{"skillNo":146,"name":147,"nameZh":6,"description":148,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":149,"sourceHtmlUrl":150,"categories":151,"keywords":152,"publishedAt":20},"01M734AFNXD06Z78QRK0VKGT7Q","implementing-microsegmentation-with-guardicore","Implementing microsegmentation using Akamai Guardicore Segmentation to map application dependencies, create granular network policies, visualize east-west traffic flows, and enforce least-privilege communication between workloads across data centers and cloud.","https:\u002F\u002Fgithub.com\u002Fyanacuti1121\u002FYana-AI\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fimplementing-microsegmentation-with-guardicore\u002FLICENSE","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fimplementing-microsegmentation-with-guardicore\u002FSKILL.md",[],[],{"skillNo":154,"name":155,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":156,"categories":157,"keywords":158,"publishedAt":20},"01M736TK27QMCXK0DVCH25SJN5","ramdisk-tmpfs-patterns","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Framdisk-tmpfs-patterns\u002FSKILL.md",[],[]]