// NeuroSploit v3.5.0 — Typst report template (blank, structured).
//
// The harness generates `report.typ` per run by prepending a `findings` array
// and a `meta` dict, then including this template's rendering logic. This file
// is the reference/blank template: it renders a cover, an executive summary with
// severity counts, and one section per finding. Compile with:
//     typst compile report.typ report.pdf
//
// Expected inputs (defined above this template in the generated file):
//   #let meta = (target: "", run_id: "", generated: "", model: "")
//   #let findings = ( (severity: "", title: "", agent: "", cwe: "", cvss: "",
//                      endpoint: "", payload: "", evidence: "", impact: "",
//                      remediation: "", votes: "", confidence: 0.0), ... )

#let sevcolor = (
  Critical: rgb("#c0392b"), High: rgb("#e67e22"), Medium: rgb("#f1c40f"),
  Low: rgb("#3498db"), Info: rgb("#7f8c8d"),
)
#let sevbadge(s) = box(
  fill: sevcolor.at(s, default: rgb("#7f8c8d")), inset: (x: 5pt, y: 2pt),
  radius: 3pt, text(fill: white, weight: "bold", size: 8pt, upper(s)),
)
#let sevrank(s) = (Critical: 0, High: 1, Medium: 2, Low: 3, Info: 4).at(s, default: 5)

#set page(margin: 2cm, numbering: "1", footer: context [
  #set text(size: 8pt, fill: gray)
  NeuroSploit v3.5.0 · #meta.target · confidential
  #h(1fr) #counter(page).display()
])
#set text(font: ("Helvetica Neue", "Helvetica", "Arial"), size: 10pt)
#set heading(numbering: none)

// ---- Cover ----
#v(3cm)
#align(center)[
  #text(28pt, weight: "bold")[#text(fill: rgb("#7c5cff"))[Neuro]Sploit]
  #v(2pt)
  #text(15pt, fill: gray)[Penetration Test Report]
  #v(1cm)
  #text(13pt)[Target: #strong(meta.target)]
  #v(4pt)
  #text(10pt, fill: gray)[Run #meta.run_id · #meta.generated · models: #meta.model]
  #v(8pt)
  #text(9pt, fill: gray)[by #strong[Joas A Santos] & #strong[Red Team Leaders]]
]
#pagebreak()

// ---- Executive summary ----
= Executive Summary

#let counts = (:)
#for f in findings {
  counts.insert(f.severity, counts.at(f.severity, default: 0) + 1)
}
#if findings.len() == 0 [
  No validated findings were produced for this engagement. All candidate issues
  were either unproven or rejected by multi-model adversarial validation.
] else [
  This engagement produced #strong(str(findings.len())) validated finding(s),
  each confirmed by multi-model voting.

  #v(6pt)
  #grid(columns: 5, gutter: 8pt,
    ..("Critical", "High", "Medium", "Low", "Info").map(s => box(
      width: 100%, inset: 8pt, radius: 6pt, stroke: 0.5pt + sevcolor.at(s),
      align(center)[
        #text(18pt, weight: "bold", fill: sevcolor.at(s))[#str(counts.at(s, default: 0))]
        #v(-4pt) #text(8pt, upper(s))
      ],
    ))
  )
]

#v(10pt)
#line(length: 100%, stroke: 0.5pt + gray)

// ---- Findings ----
= Findings

#let sorted = findings.sorted(key: f => sevrank(f.severity))
#if sorted.len() == 0 [
  #text(fill: gray)[_Nothing to report._]
]
#for (i, f) in sorted.enumerate() [
  #block(breakable: false, width: 100%, inset: 10pt, radius: 6pt,
    stroke: (left: 3pt + sevcolor.at(f.severity, default: gray), rest: 0.5pt + rgb("#dddddd")))[
    #sevbadge(f.severity) #h(6pt) #text(12pt, weight: "bold")[#str(i + 1). #f.title]
    #v(4pt)
    #text(9pt, fill: gray)[
      agent: #raw(f.agent) · CWE: #f.cwe · CVSS: #f.cvss · votes: #f.votes · confidence: #str(f.confidence)
    ]
    #v(2pt) #text(9pt)[Endpoint: #raw(f.endpoint)]
    #v(5pt) #strong[Payload] #linebreak() #raw(f.payload)
    #v(3pt) #strong[Evidence] #linebreak() #raw(f.evidence)
    #v(3pt) #strong[Impact:] #f.impact
    #v(2pt) #strong[Remediation:] #f.remediation
  ]
  #v(8pt)
]