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> 定義每個 Agent 的輸入輸出 JSON 格式。
> 來源:FINAL_PLAN.md §六
> 版本:v3.5(新增 Intel Fusion evidence gating)
---
## Scout → Analyst
```json
{
"scan_id": "scan_20260401_001",
"timestamp": "2026-04-01T10:00:00Z",
"tech_stack": ["django 4.2", "redis 7.0"],
"vulnerabilities": [
{
"cve_id": "CVE-2024-XXXX",
"package": "django",
"cvss_score": 7.5,
"severity": "HIGH",
"description": "...",
"is_new": true
}
],
"summary": {
"total": 8,
"new_since_last_scan": 2,
"critical": 1,
"high": 3,
"medium": 3,
"low": 1
},
"_degraded": false,
"_error": null
}
```
**欄位說明:**
| 欄位 | 類型 | 必填 | 說明 |
|---|---|---|---|
| `scan_id` | string | ✅ | 掃描唯一識別符 |
| `timestamp` | string | ✅ | ISO 8601 時間戳 |
| `tech_stack` | string[] | ✅ | 技術堆疊清單 |
| `vulnerabilities` | array | ✅ | 漏洞清單 |
| `vulnerabilities[].cve_id` | string | ✅ | CVE 編號 |
| `vulnerabilities[].package` | string | ✅ | 套件名稱 |
| `vulnerabilities[].cvss_score` | number | ✅ | CVSS 分數(0-10) |
| `vulnerabilities[].severity` | string | ✅ | CRITICAL/HIGH/MEDIUM/LOW |
| `vulnerabilities[].description` | string | ✅ | 漏洞描述 |
| `vulnerabilities[].is_new` | bool | ✅ | 是否為新發現 |
| `summary.total` | number | ✅ | 漏洞總數 |
| `summary.new_since_last_scan` | number | ✅ | 新增漏洞數 |
| `summary.critical` | number | ✅ | CRITICAL 數量 |
| `summary.high` | number | ✅ | HIGH 數量 |
| `_degraded` | bool | ❌ | 是否為降級輸出 |
| `_error` | string/null | ❌ | 錯誤訊息(降級時) |
---
## Analyst → Advisor
```json
{
"scan_id": "scan_20260401_001",
"risk_score": 85,
"risk_trend": "+7",
"analysis": [
{
"cve_id": "CVE-2024-XXXX",
"original_cvss": 6.5,
"adjusted_risk": "CRITICAL",
"in_cisa_kev": true,
"exploit_available": true,
"chain_risk": {
"is_chain": true,
"chain_with": ["CVE-2024-YYYY"],
"chain_description": "SSRF → Redis → RCE",
"confidence": "HIGH"
},
"reasoning": "In CISA KEV + public exploit + chains with Redis"
}
],
"_degraded": false,
"_error": null
}
```
**欄位說明:**
| 欄位 | 類型 | 必填 | 說明 |
|---|---|---|---|
| `scan_id` | string | ✅ | 掃描唯一識別符 |
| `risk_score` | number | ✅ | 風險分數(0-100) |
| `risk_trend` | string | ✅ | 風險趨勢("+7", "-3", "+0") |
| `analysis` | array | ✅ | 分析結果清單 |
| `analysis[].cve_id` | string | ✅ | CVE 編號 |
| `analysis[].original_cvss` | number | ✅ | 原始 CVSS 分數 |
| `analysis[].adjusted_risk` | string | ✅ | 調整後風險等級 |
| `analysis[].in_cisa_kev` | bool | ✅ | 是否在 CISA KEV 中 |
| `analysis[].exploit_available` | bool | ✅ | 是否有公開 Exploit |
| `analysis[].chain_risk` | object | ✅ | 連鎖風險 |
| `chain_risk.is_chain` | bool | ✅ | 是否形成連鎖 |
| `chain_risk.chain_with` | string[] | ✅ | 連鎖的 CVE 清單 |
| `chain_risk.chain_description` | string | ✅ | 連鎖描述 |
| `chain_risk.confidence` | string | ✅ | HIGH/MEDIUM/NEEDS_VERIFICATION |
| `analysis[].reasoning` | string | ✅ | 推理依據 |
---
## Critic 辯論結果
```json
{
"debate_rounds": 2,
"challenges": ["Redis 暴露前提未驗證"],
"scorecard": {
"evidence": 0.85,
"chain_completeness": 0.80,
"critique_quality": 0.75,
"defense_quality": 0.70,
"calibration": 0.90
},
"weighted_score": 80.5,
"verdict": "MAINTAIN",
"reasoning": "Evidence is strong, chain analysis is well-supported.",
"generated_at": "2026-04-01T10:05:00Z",
"_harness_skipped": false
}
```
**欄位說明:**
| 欄位 | 類型 | 必填 | 說明 |
|---|---|---|---|
| `debate_rounds` | number | ✅ | 辯論輪數 |
| `challenges` | string[] | ✅ | 挑戰清單 |
| `scorecard` | object | ✅ | 5 維評分卡 |
| `scorecard.evidence` | number | ✅ | 證據支持度(0-1) |
| `scorecard.chain_completeness` | number | ✅ | 路徑完整性(0-1) |
| `scorecard.critique_quality` | number | ✅ | 反駁品質(0-1) |
| `scorecard.defense_quality` | number | ✅ | 回應品質(0-1) |
| `scorecard.calibration` | number | ✅ | 信心校準(0-1) |
| `weighted_score` | number | ✅ | 加權總分(0-100) |
| `verdict` | string | ✅ | MAINTAIN/DOWNGRADE/SKIPPED |
| `reasoning` | string | ✅ | 裁決理由 |
| `generated_at` | string | ✅ | ISO 8601 時間戳 |
**裁決規則:**
- weighted_score ≥ 50 → MAINTAIN
- weighted_score < 50 → DOWNGRADE
- 有 CVE 在 CISA KEV 中 → 禁止 DOWNGRADE
---
## Advisor → UI
```json
{
"executive_summary": "1 actively exploited chain. Risk increased.",
"actions": {
"urgent": [
{
"cve_id": "CVE-2024-XXXX",
"package": "django",
"severity": "CRITICAL",
"action": "Update Django to latest patched version.",
"command": "pip install --upgrade django",
"reason": "In CISA KEV with public exploit.",
"is_repeated": false
}
],
"important": [
{
"cve_id": "CVE-2024-YYYY",
"package": "redis",
"severity": "HIGH",
"action": "Update Redis and verify network exposure.",
"reason": "Part of attack chain."
}
],
"resolved": []
},
"risk_score": 85,
"risk_trend": "+7",
"scan_count": 2,
"generated_at": "2026-04-01T10:06:00Z"
}
```
**欄位說明:**
| 欄位 | 類型 | 必填 | 說明 |
|---|---|---|---|
| `executive_summary` | string | ✅ | 一句話摘要 |
| `actions` | object | ✅ | 行動清單 |
| `actions.urgent` | array | ✅ | 緊急行動 |
| `actions.urgent[].cve_id` | string | ✅ | CVE 編號 |
| `actions.urgent[].package` | string | ✅ | 套件名稱 |
| `actions.urgent[].severity` | string | ✅ | CRITICAL/HIGH |
| `actions.urgent[].action` | string | ✅ | 修補說明 |
| `actions.urgent[].command` | string | ✅ | 具體指令 |
| `actions.urgent[].reason` | string | ✅ | 為何標記為 URGENT |
| `actions.urgent[].is_repeated` | bool | ✅ | 是否重複未修補 |
| `actions.important` | array | ✅ | 重要行動 |
| `actions.resolved` | array | ✅ | 已修補項目 |
| `risk_score` | number | ✅ | 風險分數(0-100) |
| `risk_trend` | string | ✅ | 風險趨勢 |
| `scan_count` | number | ✅ | 掃描次數 |
| `generated_at` | string | ✅ | ISO 8601 時間戳 |
---
## Pipeline Meta(最終輸出附加欄位)
```json
{
"pipeline_meta": {
"pipeline_version": "3.0",
"tech_stack": "Django 4.2, Redis 7.0",
"stages_completed": 4,
"stages_detail": {
"scout": {
"status": "SUCCESS",
"vuln_count": 9,
"duration_ms": 1200
},
"analyst": {
"status": "SUCCESS",
"risk_score": 85,
"duration_ms": 800
},
"critic": {
"status": "SUCCESS",
"verdict": "MAINTAIN",
"score": 80.5,
"duration_ms": 600
},
"advisor": {
"status": "SUCCESS",
"urgent_count": 2,
"duration_ms": 500
}
},
"enable_critic": false,
"critic_verdict": "SKIPPED",
"critic_score": 0,
"duration_seconds": 3.1,
"degradation": {
"level": 1,
"label": "⚡ 全速運行",
"degraded_components": [],
"timestamp": "2026-04-01T10:06:00Z"
},
"generated_at": "2026-04-01T10:06:00Z"
}
}
```
**欄位說明:**
| 欄位 | 類型 | 必填 | 說明 |
|---|---|---|---|
| `pipeline_version` | string | ✅ | Pipeline 版本(當前 3.0) |
| `tech_stack` | string | ✅ | 使用者輸入的技術堆疊 |
| `stages_completed` | number | ✅ | 完成的 Stage 數量 |
| `stages_detail` | object | ✅ | 每個 Stage 的詳細資訊 |
| `stages_detail.{stage}.status` | string | ✅ | SUCCESS/DEGRADED |
| `enable_critic` | bool | ✅ | Critic 是否啟用 |
| `critic_verdict` | string | ✅ | MAINTAIN/DOWNGRADE/SKIPPED |
| `critic_score` | number | ✅ | Critic 加權分數 |
| `duration_seconds` | number | ✅ | 總執行時間(秒) |
| `degradation` | object | ✅ | 降級狀態 |
| `degradation.level` | number | ✅ | 1-5(1=全速,5=最低生存) |
| `degradation.label` | string | ✅ | UI 顯示文字 |
| `degradation.degraded_components` | string[] | ✅ | 降級元件清單 |
**降級層級定義:**
| 層級 | 標籤 | 觸發條件 |
|---|---|---|
| 1 | ⚡ 全速運行 | 所有元件正常 |
| 2 | ⚠️ LLM 降級 | vLLM → OpenRouter → OpenAI |
| 3 | ⚠️ API 降級 | NVD/OTX → 離線快取 |
| 4 | 🔶 Agent 降級 | Analyst/Critic 跳過 |
| 5 | 🔶 最低生存模式 | 使用上次掃描結果 |
---
## v3.1 新增:L0 淨化報告(input_sanitizer → Pipeline)
```json
{
"safe": true,
"input_type": "source_code",
"truncated": false,
"input_hash": "a3f8b1c2d4e5f6a7",
"blocked_reason": "",
"l0_findings": [
{
"pattern": "hardcoded_secret",
"description": "硬編碼憑證(Credential Exposure 風險)",
"line_no": 42,
"severity": "WARNING"
}
],
"l0_warning_count": 1
}
```
**`input_type` 枚舉**:`"package_list"` / `"source_code"` / `"config_file"` / `"sql_review"` / `"blocked"`
**`safe=false`** 時 Pipeline 直接返回錯誤,不進入任何 Agent
---
## v3.2 新增:SQL Syntax Review(孤立 `.sql` corpus → Pipeline/UI)
```json
{
"sql_syntax_review": {
"review_status": "completed",
"review_type": "sql_syntax_review",
"requires_application_context": true,
"verified_application_vulnerability": false,
"code_scan_excluded": true,
"package_scan_allowed": false,
"patterns": [
{
"syntax_pattern": "union_select",
"line_no": 12,
"category": "sql_injection_payload",
"snippet": "UNION SELECT",
"risk_note": "UNION-based SQL injection payload. Requires application input-flow context.",
"requires_application_context": true
}
],
"summary": {
"total": 1,
"patterns_detected": 1,
"syntax_patterns": ["union_select"]
}
}
}
```
**契約限制:**
- `sql_syntax_review` 只表示 SQL corpus 內含危險語法或測試 payload。
- `verified_application_vulnerability` 必須維持 `false`,直到同時有 application source/sink evidence。
- SQL review 不得產生 package CVE/GHSA scan。
- SQL review 不納入一般 source-code CWE recall 分母。
---
## v3.1 新增:Orchestrator 任務計畫(orchestrator → main.py)
```json
{
"path": "B",
"parallel_layer1": ["security_guard", "intel_fusion"],
"agents_to_run": ["security_guard", "intel_fusion", "scout", "analyst", "debate", "advisor"],
"shortcuts": [],
"feedback_loop_count": 0,
"l0_input_type": "source_code"
}
```
**`path` 枚舉**:`"A"` 套件 / `"B"` 完整程式碼 / `"C"` 配置文件 / `"D"` 回饋補充
---
## v3.1 新增:Security Guard 輸出(security_guard → scout)
```json
{
"extraction_status": "success",
"functions": [
{"name": "execute_query", "args": ["sql"], "line_no": 15, "suspicious": true, "reason": "字串拼接"}
],
"imports": [{"module": "os", "alias": null, "line_no": 1}],
"patterns": [{"type": "sql_concat", "pattern": "f\"SELECT...\"", "line_no": 23, "severity": "HIGH"}],
"hardcoded": [{"type": "api_key", "key_name": "AWS_SECRET", "line_no": 8}],
"stats": {"total_lines": 150, "functions_found": 12, "patterns_found": 3}
}
```
---
## v3.1 新增:Intel Fusion 輸出(intel_fusion → scout)
```json
{
"fusion_results": [
{
"cve_id": "CVE-2024-42005",
"composite_score": 9.1,
"confidence": "HIGH",
"dimensions": {
"nvd_cvss": 9.8, "epss_score": 0.97,
"in_kev": true, "ghsa_hits": 3,
"attack_techniques": 2, "otx_pulse_count": 5
},
"weights_used": {"nvd": 0.20, "epss": 0.00, "kev": 0.55, "ghsa": 0.10, "attack": 0.10, "otx": 0.05},
"kev_shortcut": true,
"cve_year": 2024
}
],
"api_health": {"epss": "ok", "ghsa": "ok", "otx": "degraded"},
"degraded": false
}
```
**動態加權規則**:
- `in_kev=true` → `epss_weight=0.00`,`kev_weight` 增至 0.55
- `cve_year < 2020` → `epss_weight=0.10`
- `otx_fail_rate > 0.5` → `otx_weight=0.01`
---
## v3.1 更新:Pipeline Meta 完整欄位
```json
{
"pipeline_meta": {
"pipeline_version": "3.1",
"tech_stack": "Django 4.2, Redis 7.0",
"stages_completed": 7,
"stages_detail": {
"orchestrator": {"status": "SUCCESS", "scan_path": "B", "l0_input_type": "source_code"},
"security_guard": {"status": "SUCCESS", "functions_found": 12},
"intel_fusion": {"status": "SUCCESS", "cves_scored": 2},
"scout": {"status": "SUCCESS", "vuln_count": 2},
"analyst": {"status": "SUCCESS", "risk_score": 85},
"critic": {"status": "SUCCESS", "verdict": "MAINTAIN"},
"advisor": {"status": "SUCCESS", "urgent_count": 1}
},
"enable_critic": true,
"critic_verdict": "MAINTAIN",
"critic_score": 80.5,
"duration_seconds": 45.2,
"degradation": {"level": 1, "label": "FULL_SPEED"},
"generated_at": "2026-04-10T00:02:00Z",
"l0_report": {"safe": true, "input_type": "source_code", "l0_warning_count": 0}
}
}
```
| v3.1 新增欄位 | 說明 |
|---|---|
| `stages_detail.orchestrator` | Orchestrator 路徑 + L0 類型 |
| `stages_detail.security_guard` | Security Guard 提取統計 |
| `stages_detail.intel_fusion` | Intel Fusion 計分統計 |
| `stages_completed` | 現在包含 orchestrator + 4 主 Stage(≥ 5)|
| `l0_report` | L0 淨化報告摘要 |
---
## v3.3 更新:DIM11 Benchmark Context 與 Critic Recall Challenge
此契約只在 `main.py` 偵測到 DIM11 fixture exact match 時啟用;一般使用者掃描不應產生 expected baseline,也不應套用 expected-CWE recall 判罰。
```json
{
"benchmark_context": {
"benchmark": "dim11_redteam",
"fixture": "c_cpp_multivuln_01.c",
"expected_cwe_categories": ["CWE-120", "CWE-134"],
"observed_cwe_categories": ["CWE-120", "CWE-134"],
"min_category_recall": 0.7,
"route_correct": true,
"expected_path": "B",
"actual_path": "B",
"external_pollution_count": 0,
"activation": "exact_fixture_match"
},
"critic_recall_challenge": {
"fixture": "c_cpp_multivuln_01.c",
"expected_cwe_categories": ["CWE-120", "CWE-134"],
"observed_cwe_categories": ["CWE-120", "CWE-134"],
"missing_cwe_categories": [],
"category_recall": 1.0,
"min_category_recall": 0.7,
"route_correct": true,
"external_pollution_count": 0,
"verdict": "PASS",
"failed_reasons": []
}
}
```
| 欄位 | 說明 |
|---|---|
| `benchmark_context` | Pipeline 在 Analyst → Critic 之間注入的 benchmark baseline,只允許 fixture exact match。 |
| `critic_recall_challenge` | Critic deterministic challenge 結果;若 FAIL,Critic 會輸出 `verdict=DOWNGRADE` 與 `needs_rescan=true`。 |
| `external_pollution_count` | source code 沒有第三方 package evidence 卻出現外部 CVE/GHSA finding 時的污染計數。 |
| `activation` | 啟用條件;目前只允許 `exact_fixture_match`,避免一般掃描被 DIM11 catalog 誤判。 |
---
## v3.4 更新:CWE Registry Canonical Fields
`code_patterns_summary[]` 的 CWE mapping 以 `tools/cwe_registry.py` 為後端唯一來源。Security Guard 保留原始 `pattern_type`,Pipeline/Advisor/UI 使用 registry 產生 canonical 欄位,避免 `main.py`、Advisor、UI 各自維護不同 CWE 對照表。
```json
{
"code_patterns_summary": [
{
"finding_id": "CODE-001",
"type": "code_pattern",
"pattern_type": "PROTOTYPE_POLLUTION",
"cwe_id": "CWE-1321",
"canonical_cwe_id": "CWE-1321",
"weakness_family": "prototype_pollution",
"evidence_type": "code_scan",
"owasp_category": "A03:2021-Injection",
"severity": "CRITICAL",
"cwe_reference": {
"id": "CWE-1321",
"name": "Prototype Pollution",
"source": "MITRE CWE v4.14",
"representative_cves": []
}
}
]
}
```
| 欄位 | 說明 |
|---|---|
| `canonical_cwe_id` | registry 正規化後的 CWE ID;目前與 `cwe_id` 一致,保留給後續 taxonomy migration。 |
| `weakness_family` | 給 UI 與 recall 統計使用的穩定弱點家族名稱。 |
| `evidence_type` | 目前 code finding 固定為 `code_scan`;不得用它表示 package CVE。 |
| `cwe_reference` | 從 `tools.cwe_registry.build_cwe_reference()` 產生,優先引用 MITRE CWE 離線資料庫。 |
---
## v3.5 更新:Intel Fusion Evidence Gating
Intel Fusion 的 CVE/GHSA 輸出必須區分「本次掃描直接觀察到的 package advisory」與「用來佐證 CWE 風險的代表性 CVE」。Representative CVE 只能出現在 explanation / CWE support context,不得進入 `vulnerability_detail` 或 Advisor `actions.urgent/actions.important`。
```json
{
"fusion_results": [
{
"cve_id": "CVE-2024-42005",
"evidence_type": "direct_cve",
"not_directly_observed": false,
"must_not_enter_package_actions": false,
"source_package_evidence": ["django"],
"composite_score": 9.1
},
{
"cve_id": "CVE-2024-9999",
"evidence_type": "representative_cve",
"supports_cwe": ["CWE-89"],
"not_directly_observed": true,
"must_not_enter_package_actions": true,
"evidence_note": "Representative CVE for a Security Guard CWE finding; not a directly observed package CVE."
}
],
"evidence_contract": {
"direct_cve_count": 1,
"cwe_support_count": 1,
"package_target_count": 1,
"representative_cve_count": 1
}
}
```
| 欄位 | 說明 |
|---|---|
| `evidence_type=direct_cve` | Scout/OSV/NVD/GHSA 直接從 package evidence 觀察到,可進 package action list。 |
| `evidence_type=package_cve` | Intel Fusion 從 package target 補充的外部 CVE,可進 package vulnerability flow。 |
| `evidence_type=representative_cve` | CWE support evidence,只能解釋 CWE 風險,不得當成本專案直接受影響 CVE。 |
| `not_directly_observed` | `true` 表示本次掃描沒有直接 package evidence。 |
| `must_not_enter_package_actions` | Advisor/Scout/main.py 必須把此類項目擋在 `actions` 與 `vulnerability_detail` 外。 |
| `representative_cve_evidence` | final output 中保存 representative CVE 的獨立欄位,供 UI/Thinking Path 顯示佐證。 |
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