[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6AFD6KFWESW75GVG3DQBWWD":3,"skill-same:01M6AFD6KFWESW75GVG3DQBWWD":117},{"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":6,"sourceHtmlUrl":16,"categories":17,"keywords":18,"publishedAt":39,"linkOnly":40,"markdownContent":41,"markdownBody":42,"frontMatter":43,"refName":60,"commitSha":61,"skillDirectory":62,"forksCount":63,"repositoryHtmlUrl":64,"repositoryHomepageUrl":65,"ownerHtmlUrl":66,"ownerBlogUrl":67,"ownerDescription":68,"updatedAt":69,"install":70,"resources":83},"01M6AFD6KFWESW75GVG3DQBWWD","implementing-siem-correlation-rules-for-apt",null,"Write multi-event correlation rules in Splunk SPL and Sigma format that detect APT lateral movement by chaining Windows authentication events (4624, 4648), process execution (4688, Sysmon Event 1), and network connections (Sysmon Event 3) across hosts within sliding time windows. Use when building SIEM correlation searches to surface multi-stage attack sequences that single-event detections miss, such as pass-the-hash or lateral movement chains.","mukul975\u002FAnthropic-Cybersecurity-Skills","mukul975","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F42860185?v=4","01M6ADEQR8T5M4EEG6C67BQCWF","Mahipal","01M6ADJPMYWG1E5GM1FWBE3128",35990,"Apache-2.0","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fimplementing-siem-correlation-rules-for-apt\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38],"implementing siem correlation rules for apt","siem","apt","correlation","SPL","t1078","windows-event-logs","pass-the-hash","lateral-movement","sigma","event-logs","sysmon","security","network","splunk","security-operations","logs","authentication","windows","cybersecurity","2026-11-10 10:12:30",false,"---\nname: implementing-siem-correlation-rules-for-apt\ndescription: Write multi-event correlation rules in Splunk SPL and Sigma format that\n  detect APT lateral movement by chaining Windows authentication events (4624, 4648),\n  process execution (4688, Sysmon Event 1), and network connections (Sysmon Event 3)\n  across hosts within sliding time windows. Use when building SIEM correlation searches\n  to surface multi-stage attack sequences that single-event detections miss, such\n  as pass-the-hash or lateral movement chains.\ndomain: cybersecurity\nsubdomain: security-operations\ntags:\n- siem\n- correlation-rules\n- apt-detection\n- lateral-movement\n- windows-event-logs\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- T1021\n- T1550\n---\n\n\n# Implementing SIEM Correlation Rules for APT\n\n\n## When to Use\n\n- When deploying or configuring implementing siem correlation rules for apt capabilities in your environment\n- When establishing security controls aligned to compliance requirements\n- When building or improving security architecture for this domain\n- When conducting security assessments that require this implementation\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\n1. Install dependencies: `pip install requests pyyaml sigma-cli`\n2. Connect to the Splunk REST API and define correlation searches that chain multiple event types across hosts.\n3. Build Sigma rules in YAML that express multi-step detection logic for lateral movement patterns:\n   - RDP logon (4624 LogonType=10) followed by service installation (7045) on same target within 15 minutes\n   - Pass-the-Hash: NTLM logon (4624 LogonType=3) followed by process creation (4688) of admin tools\n   - PsExec-style: Named pipe creation (Sysmon 17\u002F18) correlated with remote service creation (7045)\n4. Convert Sigma rules to Splunk SPL using `sigma-cli convert`.\n5. Deploy correlation searches to Splunk ES via the REST API.\n6. Run the agent to generate and install correlation rules, then audit existing rules for coverage gaps.\n\n```bash\npython scripts\u002Fagent.py --splunk-url https:\u002F\u002Flocalhost:8089 --username admin --password changeme --output correlation_report.json\n```\n\n## Examples\n\n### Detect RDP Lateral Movement Chain\n```\nindex=wineventlog (EventCode=4624 Logon_Type=10) OR (EventCode=7045)\n| transaction Computer maxspan=15m startswith=(EventCode=4624) endswith=(EventCode=7045)\n| where eventcount >= 2\n| table _time Computer Account_Name ServiceName\n```\n\n### Sigma Rule for PsExec Lateral Movement\n```yaml\ntitle: PsExec Lateral Movement Detection\nlogsource:\n  product: windows\n  service: sysmon\ndetection:\n  pipe_created:\n    EventID: 17\n    PipeName|startswith: '\\PSEXESVC'\n  service_installed:\n    EventID: 7045\n    ServiceFileName|contains: 'PSEXESVC'\n  timeframe: 5m\n  condition: pipe_created | near service_installed\nlevel: high\n```\n","# Implementing SIEM Correlation Rules for APT\n\n\n## When to Use\n\n- When deploying or configuring implementing siem correlation rules for apt capabilities in your environment\n- When establishing security controls aligned to compliance requirements\n- When building or improving security architecture for this domain\n- When conducting security assessments that require this implementation\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\n1. Install dependencies: `pip install requests pyyaml sigma-cli`\n2. Connect to the Splunk REST API and define correlation searches that chain multiple event types across hosts.\n3. Build Sigma rules in YAML that express multi-step detection logic for lateral movement patterns:\n   - RDP logon (4624 LogonType=10) followed by service installation (7045) on same target within 15 minutes\n   - Pass-the-Hash: NTLM logon (4624 LogonType=3) followed by process creation (4688) of admin tools\n   - PsExec-style: Named pipe creation (Sysmon 17\u002F18) correlated with remote service creation (7045)\n4. Convert Sigma rules to Splunk SPL using `sigma-cli convert`.\n5. Deploy correlation searches to Splunk ES via the REST API.\n6. Run the agent to generate and install correlation rules, then audit existing rules for coverage gaps.\n\n```bash\npython scripts\u002Fagent.py --splunk-url https:\u002F\u002Flocalhost:8089 --username admin --password changeme --output correlation_report.json\n```\n\n## Examples\n\n### Detect RDP Lateral Movement Chain\n```\nindex=wineventlog (EventCode=4624 Logon_Type=10) OR (EventCode=7045)\n| transaction Computer maxspan=15m startswith=(EventCode=4624) endswith=(EventCode=7045)\n| where eventcount >= 2\n| table _time Computer Account_Name ServiceName\n```\n\n### Sigma Rule for PsExec Lateral Movement\n```yaml\ntitle: PsExec Lateral Movement Detection\nlogsource:\n  product: windows\n  service: sysmon\ndetection:\n  pipe_created:\n    EventID: 17\n    PipeName|startswith: '\\PSEXESVC'\n  service_installed:\n    EventID: 7045\n    ServiceFileName|contains: 'PSEXESVC'\n  timeframe: 5m\n  condition: pipe_created | near service_installed\nlevel: high\n```\n",{"name":5,"tags":44,"author":47,"domain":38,"license":15,"version":48,"nist_csf":49,"subdomain":34,"description":7,"mitre_attack":54},[20,45,46,27,25,34],"correlation-rules","apt-detection","mahipal","1.0",[50,51,52,53],"DE.CM-01","RS.MA-01","GV.OV-01","DE.AE-02",[55,56,57,58,59],"T1078","T1190","T1059","T1021","T1550","main","54a798831d2266a3ca61ce68a7acb80b81160d57","skills\u002Fimplementing-siem-correlation-rules-for-apt",4395,"https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills","https:\u002F\u002Fmahipal.engineer\u002FAnthropic-Cybersecurity-Skills\u002F","https:\u002F\u002Fgithub.com\u002Fmukul975","Mahipal.engineer","🔐 Cybersecurity | 💻 Dev | 📷 Street Photographer\r\n🎓 MSc | 📚 Research & AI Security","2026-08-31 12:32:44",{"source":8,"skillName":5,"commands":71,"prompt":81,"zipAvailable":82},[72,75,78],{"tool":73,"command":74},"npx","npx skills add mukul975\u002FAnthropic-Cybersecurity-Skills --skill 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artifact signatures and SLSA provenance using Sigstore's cosign (verify, verify-attestation, verify-blob-attestation) and slsa-verifier (verify-artifact), enforcing keyless OIDC builder identity and source repo against SLSA Build levels. Use in CI\u002FCD before deploying artifacts, when consuming third-party attestations, establishing a SLSA Build L3 pipeline, or confirming provenance during incident response or admission control.","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fverifying-build-provenance-with-slsa-sigstore\u002FSKILL.md",[124],{"categoryNo":125,"categoryName":126,"taxonomyType":127,"taxonomyTypeDesc":128},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[130,131,132,133,31,38,134,135,136,137,138,139,140,141,142,143,144,145,146,147],"sigstore","provenance","slsa","verifying build provenance with slsa sigstore","incident response","identity","pr","code","artifacts","ci","supply-chain","pipeline","supply-chain-security","t1195","attestation","code-signing","cosign","keyless",{"skillNo":149,"name":150,"nameZh":6,"description":151,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":152,"categories":153,"keywords":155,"publishedAt":39},"01M6AGDGBPWYVZ2F11GFKJ4HZ9","validating-tpm-measured-boot-attestation","Verifies TPM 2.0 measured-boot integrity and remote attestation with tpm2-tools -- reading PCRs (tpm2_pcrread), replaying the boot event log, generating and checking signed quotes (tpm2_quote\u002Ftpm2_checkquote), and sealing secrets to a PCR policy. Use to confirm a system booted trusted firmware\u002Fkernel for Zero Trust device posture, detect boot-chain tampering via PCR drift, or build a golden-value baseline for fleet attestation.","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fvalidating-tpm-measured-boot-attestation\u002FSKILL.md",[154],{"categoryNo":125,"categoryName":126,"taxonomyType":127,"taxonomyTypeDesc":128},[156,144,157,158,31,159,38,136,160,161,162,163,164,165,166,167,168,169,170,171],"boot","TPM","validating tpm measured boot attestation","policy","verification","ZeRO","firmware","Tools","measured-boot","PCR","integrity","secrets","remote-attestation","tpm2-tools","integrity-verification","trusted-computing",{"skillNo":173,"name":174,"nameZh":6,"description":175,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":176,"categories":177,"keywords":182,"publishedAt":39},"01M6AGDCW0Y4FXZ3362GT1941M","validating-backup-integrity-for-recovery","Validates backup integrity through cryptographic hash verification, automated restore testing, corruption detection, and recoverability checks to confirm backups are reliable for disaster recovery and ransomware response. Use before relying on backups for recovery, when building post-backup validation pipelines, auditing backup infrastructure for compliance, or checking immutable\u002Fair-gapped backups for silent corruption or tampering.","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fvalidating-backup-integrity-for-recovery\u002FSKILL.md",[178,181],{"categoryNo":179,"categoryName":180,"taxonomyType":127,"taxonomyTypeDesc":128},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":125,"categoryName":126,"taxonomyType":127,"taxonomyTypeDesc":128},[166,183,184,185,186,38,187,188,160,189,190,191,192,193,194,24,195,196,197,198],"backup","recovery","validating backup integrity for recovery","testing","infrastructure","validation","compliance","hash-verification","incident-response","ransomware","cryptocurrency","detection","t1490","immutable","disaster-recovery","restore-testing",{"skillNo":200,"name":201,"nameZh":6,"description":202,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":203,"categories":204,"keywords":206,"publishedAt":39},"01M6AGD9GBG2KZ336AE763J3WH","triaging-windows-with-kape","Runs KAPE (Kroll Artifact Parser and Extractor) to collect targeted forensic artifacts (registry hives, $MFT, event logs, prefetch, browser data) via Targets and parse them with Modules wrapping Eric Zimmerman's EZ Tools (PECmd, MFTECmd, RECmd). Use during early incident containment\u002Ftriage when full disk imaging is impractical but a defensible, parseable Windows artifact set is needed quickly, including at-scale remote collection.","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Ftriaging-windows-with-kape\u002FSKILL.md",[205],{"categoryNo":125,"categoryName":126,"taxonomyType":127,"taxonomyTypeDesc":128},[37,207,208,38,209,210,35,211,212,213,214,215,216,217,218,219,163,220,221,222],"kape","triaging windows with kape","registry","browser","windows-forensics","dfir","mft","mftecmd","data","prefetch","eric-zimmerman","digital-forensics","SET","collection","pecmd","artifact-collection",{"skillNo":224,"name":225,"nameZh":6,"description":226,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":227,"categories":228,"keywords":230,"publishedAt":39},"01M6AGD5PW5J4EVZM958WD74ZQ","triaging-vulnerabilities-with-ssvc-framework","Triages and prioritizes vulnerabilities with CISA's Stakeholder-Specific Vulnerability Categorization (SSVC) decision tree, weighing exploitation status (via the CISA KEV catalog and FIRST EPSS API), technical impact, automatability, and mission prevalence to output Track\u002FTrack*\u002FAttend\u002FAct decisions. Use when prioritizing vulnerability scan results (OpenVAS, Nessus, Qualys) for remediation planning beyond raw CVSS scores.","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Ftriaging-vulnerabilities-with-ssvc-framework\u002FSKILL.md",[229],{"categoryNo":125,"categoryName":126,"taxonomyType":127,"taxonomyTypeDesc":128},[231,232,233,38,234,235,236,237,238,239,240,241,242,243,244,245,246,247,248,249],"vulnerabilities","framework","triaging vulnerabilities with ssvc framework","status","planning","CISA","vulnerability-management","risk-management","nessus","qualys","openvas","cvss","remediation","risk","vulnerability","api","prioritization","ssvc","decision-tree",{"skillNo":251,"name":252,"nameZh":6,"description":253,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":254,"categories":255,"keywords":257,"publishedAt":39},"01M6AGD24TTQQM4CXG69E3B9TJ","triaging-security-incident","Performs initial triage of security incidents using the NIST SP 800-61r3 and SANS PICERL frameworks, classifying incident type, assigning priority by business impact, and routing to the appropriate response team. Use when a SIEM\u002FEDR alert needs human classification, concurrent alerts must be prioritized, or a user report or threat-intel IOC match requires initial incident categorization.","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Ftriaging-security-incident\u002FSKILL.md",[256],{"categoryNo":125,"categoryName":126,"taxonomyType":127,"taxonomyTypeDesc":128},[31,258,38,20,259,260,261,262,263,264,265,24,266,195,267,268,269,270,271,272],"triaging security incident","file","ioc","soc","NIST-800-61","NIST","severity","edr","execution","analysis","classification","severity-classification","incident-triage","SANS-PICERL","SOC-operations"]