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Use when beginning a web assessment from a domain, wildcard, ASN, organization, IP list, or CIDR and measurable attack-surface coverage is needed.
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Basierend auf der SOC-Berufsklassifikation
Decision tree for selecting AIRT attacks based on goals, target type, and constraints
Common Active Directory attack chains with tool mappings. Covers Kerberoasting, AS-REP roasting, RBCD, AD CS, DCSync, relay attacks, and credential reuse patterns. Use during exploitation and privilege escalation phases.
Decision tree for Active Directory enumeration. Maps enumeration tasks to tools, defines priority signals, and specifies what findings trigger deeper investigation. Use during the enumeration phase of network operations.
Load when performing network operations or Active Directory exploitation. Enforces enumeration-before-attack discipline, credential verification, trust boundary awareness, scope compliance, reversibility preference, and structured reporting. Prevents premature exploitation, credential misuse, and scope violations.
Direct Caido interaction via the caido-sdk-client Python library, bypassing the Caido MCP server. Prefer this over the caido-proxy MCP skill for efficiency WHEN the SDK is importable in the current runtime. If the import fails, or Caido/the MCP is not loaded, fall back to the caido-proxy skill.
Caido proxy integration for HTTP history search, request replay, fuzzing results, sitemap, and security findings via MCP. Use when you need to search proxy traffic, replay requests with modifications, triage fuzzing results, or document findings in Caido.
| name | initial-recon |
| description | Use when beginning a web assessment from a domain, wildcard, ASN, organization, IP list, or CIDR and measurable attack-surface coverage is needed. |
| allowed-tools | bash |
Establish a bounded breadth baseline before choosing deep tests. Keep this phase short for a single URL; use the full funnel for wildcards, organizations, ASNs, IP lists, and CIDRs.
subfinder, resolve with dnsx, then probe with ProjectDiscovery httpx.naabu, then probe responsive hosts with ProjectDiscovery httpx. Add tlsx when certificate names can expand the map.katana only on responsive web applications. Use nuclei only on confirmed, high-signal targets.Use the ProjectDiscovery binary resolver because httpx may otherwise resolve to the unrelated Python CLI:
PD="scripts/pd-tool" # capability root is the tool working directory
"$PD" subfinder -d example.com -json -silent
"$PD" dnsx -json -silent
"$PD" naabu -host 192.0.2.0/24 -json -silent -rate 500
"$PD" httpx -json -silent -title -tech-detect -status-code
If a dedicated binary is unavailable, use the smallest available fallback and record that substitution. Do not rebuild high-volume enumeration with sequential curl or dig loops when the provisioned ProjectDiscovery tools are healthy.
Write a ledger with scripts/write_coverage_ledger.py after each completed phase. Record facts, not intent:
completed, partial, or failedNever describe a scan as comprehensive without scheduled/completed denominators. A timeout is partial coverage unless the saved artifact proves completion.
Rank responsive assets by exposed identity/admin/API surfaces, non-standard ports, unusual technology, and exploitable behavior. Hand the highest-signal assets back to the normal web-security OODA loop; focused testing remains more valuable than indiscriminate scanning.