[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71C6QT6FHTDBWZDEG4RCE0G":3,"skill-same:01M71C6QT6FHTDBWZDEG4RCE0G":55},{"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":23,"linkOnly":24,"markdownContent":25,"markdownBody":26,"frontMatter":27,"refName":28,"commitSha":29,"skillDirectory":30,"forksCount":14,"repositoryHtmlUrl":31,"repositoryHomepageUrl":6,"ownerHtmlUrl":32,"ownerBlogUrl":6,"ownerDescription":33,"updatedAt":34,"install":35,"resources":48},"01M71C6QT6FHTDBWZDEG4RCE0G","cloud-devsecops-iacscan",null,"Cloud Devsecops Iacscan.","DCx7C5\u002Fai-marketplace","DCx7C5","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F42419559?v=4","01M71C01G2AZV3NTNGWAWSHJPP","DC","01M71C01GQW6G50S2BYMS7PP3E",0,"MIT","https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace\u002Fblob\u002Fmain\u002Fskills\u002Fcloud-devsecops-iacscan\u002FSKILL.md",[],[19,20,21,22],"devsecops","cloud","cloud devsecops iacscan","cybersecurity","2026-11-10 10:12:30",false,"---\nname: cloud-devsecops-iacscan\ndescription: \"Cloud Devsecops Iacscan.\"\ndomain: cybersecurity\n---\n\n|\n| IaC Scanning | Automated analysis of infrastructure code templates to detect security misconfigurations before deployment |\n| Policy as Code | Security policies defined as executable code that can be version-controlled, tested, and enforced automatically |\n| CKV Check ID | Checkov's unique identifier for each security check (e.g., CKV_AWS_18 for S3 public access) |\n| Terraform Plan Scanning | Scanning the resolved Terraform plan JSON which includes computed values and module expansions |\n| Graph-based Scanning | Checkov's ability to analyze relationships between resources, not just individual resource configs |\n| Drift Detection | Identifying differences between IaC definitions and actual deployed infrastructure state |\n| Custom Policy | Organization-specific security checks authored in Python or YAML to enforce internal standards |\n\n## Tools & Systems\n\n- **Checkov**: Open-source IaC scanner by Bridgecrew with 2500+ built-in policies covering major cloud providers\n- **tfsec**: Terraform-focused static analysis tool by Aqua Security with deep HCL understanding\n- **KICS**: Open-source IaC scanner by Checkmarx supporting 15+ IaC frameworks\n- **Terrascan**: IaC scanner with OPA Rego policy support for custom policy authoring\n- **Snyk IaC**: Commercial IaC scanner integrated with the Snyk platform\n\n## Common Scenarios\n\n### Scenario: Preventing Public S3 Buckets in Terraform\n\n**Context**: A development team repeatedly creates S3 buckets without proper access controls. A recent incident exposed customer data through a public bucket.\n\n**Approach**:\n1. Enable Checkov in the CI\u002FCD pipeline for all Terraform changes\n2. Enforce CKV_AWS_18 (no public read ACL), CKV_AWS_19 (encryption), CKV_AWS_20 (no public access block disabled)\n3. Create a custom policy requiring the `aws_s3_bucket_public_access_block` resource for every S3 bucket\n4. Set `soft_fail: false` to block PR merges when S3 security checks fail\n5. Provide Terraform modules with security defaults that teams can reuse\n\n**Pitfalls**: Scanning only `.tf` files misses dynamically computed values. Use Terraform plan scanning for higher accuracy. Checkov's resource-relationship checks (CKV2 prefix) require graph analysis mode.\n\n## Output Format\n\n```\nIaC Security Scan Report\n==========================\nFramework: Terraform\nDirectory: terraform\u002F\nScan Date: 2026-02-23\n\nCheckov Results:\n  Passed: 187\n  Failed: 12\n  Skipped: 3\n  Unknown: 0\n\nFAILED CHECKS:\n  CKV_AWS_18  [HIGH]   S3 Bucket has public read ACL\n              Resource: aws_s3_bucket.data_lake\n              File:     terraform\u002Fstorage.tf:15-28\n\n  CKV_AWS_24  [HIGH]   CloudWatch log group not encrypted\n              Resource: aws_cloudwatch_log_group.app\n              File:     terraform\u002Fmonitoring.tf:3-8\n\n  CKV_AWS_79  [MEDIUM] Instance metadata service v1 enabled\n              Resource: aws_instance.web\n              File:     terraform\u002Fcompute.tf:12-30\n\nQUALITY GATE: FAILED (2 HIGH severity findings)\n```\n","|\n| IaC Scanning | Automated analysis of infrastructure code templates to detect security misconfigurations before deployment |\n| Policy as Code | Security policies defined as executable code that can be version-controlled, tested, and enforced automatically |\n| CKV Check ID | Checkov's unique identifier for each security check (e.g., CKV_AWS_18 for S3 public access) |\n| Terraform Plan Scanning | Scanning the resolved Terraform plan JSON which includes computed values and module expansions |\n| Graph-based Scanning | Checkov's ability to analyze relationships between resources, not just individual resource configs |\n| Drift Detection | Identifying differences between IaC definitions and actual deployed infrastructure state |\n| Custom Policy | Organization-specific security checks authored in Python or YAML to enforce internal standards |\n\n## Tools & Systems\n\n- **Checkov**: Open-source IaC scanner by Bridgecrew with 2500+ built-in policies covering major cloud providers\n- **tfsec**: Terraform-focused static analysis tool by Aqua Security with deep HCL understanding\n- **KICS**: Open-source IaC scanner by Checkmarx supporting 15+ IaC frameworks\n- **Terrascan**: IaC scanner with OPA Rego policy support for custom policy authoring\n- **Snyk IaC**: Commercial IaC scanner integrated with the Snyk platform\n\n## Common Scenarios\n\n### Scenario: Preventing Public S3 Buckets in Terraform\n\n**Context**: A development team repeatedly creates S3 buckets without proper access controls. A recent incident exposed customer data through a public bucket.\n\n**Approach**:\n1. Enable Checkov in the CI\u002FCD pipeline for all Terraform changes\n2. Enforce CKV_AWS_18 (no public read ACL), CKV_AWS_19 (encryption), CKV_AWS_20 (no public access block disabled)\n3. Create a custom policy requiring the `aws_s3_bucket_public_access_block` resource for every S3 bucket\n4. Set `soft_fail: false` to block PR merges when S3 security checks fail\n5. Provide Terraform modules with security defaults that teams can reuse\n\n**Pitfalls**: Scanning only `.tf` files misses dynamically computed values. Use Terraform plan scanning for higher accuracy. Checkov's resource-relationship checks (CKV2 prefix) require graph analysis mode.\n\n## Output Format\n\n```\nIaC Security Scan Report\n==========================\nFramework: Terraform\nDirectory: terraform\u002F\nScan Date: 2026-02-23\n\nCheckov Results:\n  Passed: 187\n  Failed: 12\n  Skipped: 3\n  Unknown: 0\n\nFAILED CHECKS:\n  CKV_AWS_18  [HIGH]   S3 Bucket has public read ACL\n              Resource: aws_s3_bucket.data_lake\n              File:     terraform\u002Fstorage.tf:15-28\n\n  CKV_AWS_24  [HIGH]   CloudWatch log group not encrypted\n              Resource: aws_cloudwatch_log_group.app\n              File:     terraform\u002Fmonitoring.tf:3-8\n\n  CKV_AWS_79  [MEDIUM] Instance metadata service v1 enabled\n              Resource: aws_instance.web\n              File:     terraform\u002Fcompute.tf:12-30\n\nQUALITY GATE: FAILED (2 HIGH severity findings)\n```\n",{"name":5,"domain":22,"description":7},"main","a91f1293287ffa9f4f1b8f486cd6e835a1568c84","skills\u002Fcloud-devsecops-iacscan","https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace","https:\u002F\u002Fgithub.com\u002FDCx7C5","#Python","2026-09-01 11:21:00",{"source":8,"skillName":5,"commands":36,"prompt":46,"zipAvailable":47},[37,40,43],{"tool":38,"command":39},"npx","npx skills add DCx7C5\u002Fai-marketplace --skill cloud-devsecops-iacscan",{"tool":41,"command":42},"bunx","bunx skills add DCx7C5\u002Fai-marketplace --skill cloud-devsecops-iacscan",{"tool":44,"command":45},"pnpm","pnpm dlx skills add DCx7C5\u002Fai-marketplace --skill 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repository.","https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace\u002Fblob\u002Fmain\u002Fskills\u002Fwindows\u002Fservices\u002Fwmi\u002Fpersistence\u002Fdetect\u002FSKILL.md",[],[63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,22,80],"services","detect","services wmi persistence detect","wmi","persistence","de","cm","process","activescript","event","subscriptions","commandline-consumer","repository","subscription","event-subscription","t1546.003","forensics","process-forensics",{"skillNo":82,"name":83,"nameZh":6,"description":84,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":85,"categories":86,"keywords":87,"publishedAt":23},"01M71HAK6JTTTS229T17WJMMCG","services-wmi-exec-exploit","Perform lateral movement across Windows networks using WMI-based remote execution techniques including Impacket wmiexec.py, CrackMapExec, and native WMI commands for stealthy post-exploitation during red team engagements.","https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace\u002Fblob\u002Fmain\u002Fskills\u002Fwindows\u002Fservices\u002Fwmi\u002Fexec\u002Fexploit\u002FSKILL.md",[],[88,63,89,66,90,91,92,22,93,94,95,96,97,98,68,99,100,101,102,103],"exploit","services wmi exec exploit","exec","remote","traffic","Bash","analysis","team","across","crackmapexec","native","command","lateral movement","read","lateral-movement","Impacket",{"skillNo":105,"name":106,"nameZh":6,"description":107,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":108,"categories":109,"keywords":110,"publishedAt":23},"01M71HAG6MHKNQV8KDZKMT4886","registry-artifact-extract","Extract and analyze Windows Registry hives to uncover user activity, installed software, autostart entries, and evidence of system compromise.","https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace\u002Fblob\u002Fmain\u002Fskills\u002Fwindows\u002Fregistry\u002Fartifact\u002Fextract\u002FSKILL.md",[],[111,112,113,114,115,116,22,93,117,94,118,119,68,101,120,121,122,123,124,125],"artifact","registry","registry artifact extract","extract","evidence-collection","artifact-analysis","collection","analyze","uncover","software","activity","digital-forensics","windows-registry","regripper","sonnet",{"skillNo":127,"name":128,"nameZh":6,"description":129,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":130,"categories":131,"keywords":132,"publishedAt":23},"01M71HACR4A8XTWTTSXK4124AA","processes-token-impersonate-detect","Detect Windows token impersonation and privilege abuse including SeImpersonatePrivilege exploitation via Potato attacks and token stealing techniques.","https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace\u002Fblob\u002Fmain\u002Fskills\u002Fwindows\u002Fprocesses\u002Ftoken\u002Fimpersonate\u002Fdetect\u002FSKILL.md",[],[64,133,134,135,136,137,138,69,139,22,80,140,141,142,143,144,145,146,147,68],"processes token impersonate detect","token","processes","attacks","windows","escalation","techniques","privilege-escalation","seimpersonate","token-impersonation","printspoofer","exploitation","potato","impersonation","via",{"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":154,"publishedAt":23},"01M71HAABSB4Z6QFSXEG00R4RK","processes-thread-injection-detect","Detect Windows thread injection techniques including CreateRemoteThread, QueueUserAPC, NtCreateThreadEx, and thread hijacking via process memory analysis.","https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace\u002Fblob\u002Fmain\u002Fskills\u002Fwindows\u002Fprocesses\u002Fthread\u002Finjection\u002Fdetect\u002FSKILL.md",[],[155,156,64,157,135,137,158,69,159,139,22,80,94,160,161,162,163,147,68,70],"thread","processes thread injection detect","injection","memory","process-injection","api","apc-injection","thread-injection","nt-api",{"skillNo":165,"name":166,"nameZh":6,"description":167,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":168,"categories":169,"keywords":170,"publishedAt":23},"01M71HA7H311V5G14WMX58HQSS","processes-hollow-technique-detect","Detect process hollowing (RunPE) by identifying processes with mismatched image paths between PEB and VAD tree, or unmapped PE headers in memory.","https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace\u002Fblob\u002Fmain\u002Fskills\u002Fwindows\u002Fprocesses\u002Fhollow\u002Ftechnique\u002Fdetect\u002FSKILL.md",[],[171,64,135,172,158,69,173,174,22,80,175,176,177,178,179,180,68,70,181,182],"processes hollow technique detect","tree","memory-forensics","process-hollow","peb","runpe","image","pe-header","in memory","with","mismatched","headers"]