link-analysis-graphing

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Original

English
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Translation

Chinese

Link Analysis & Graphing

链接分析与图谱构建

Once selectors multiply, a graph makes hidden connections obvious. Model the investigation as entities (nodes) and relationships (edges).
当选择器数量增多时,图谱能让隐藏的关联一目了然。将调查建模为实体(节点)和关系(边)。

Model

模型

  • Nodes — each selector/entity: person, username, email, phone, domain, IP, wallet, company, address, device.
  • Edges — the relationship and its evidence:
    owns
    ,
    registered
    ,
    posted-from
    ,
    employed-by
    ,
    same-photo-as
    ,
    transacted-with
    . Label edges with source and confidence.
  • 节点 —— 每个选择器/实体:人员、用户名、邮箱、电话、域名、IP、钱包、公司、地址、设备。
  • —— 关系及其证据:
    owns
    registered
    posted-from
    employed-by
    same-photo-as
    transacted-with
    。为边标注来源和可信度。

Tools

工具

  • Maltego — the standard; transforms auto-pivot from a node (e.g., domain → subdomains → IPs → certs). Community edition for light use.
  • Graph DBs / viz — Neo4j, Gephi, or Obsidian's graph for a manual approach.
  • Spreadsheet fallback — an entity table + a relationship table (source, target, type, evidence) is enough for most cases and exports to any tool.
  • Maltego —— 行业标准工具;可从节点自动关联拓展(例如:域名 → 子域名 → IP → 证书)。轻量使用可选择社区版。
  • 图数据库/可视化工具 —— Neo4j、Gephi,或Obsidian的图谱功能,适用于手动构建场景。
  • 备选方案:电子表格 —— 一张实体表 + 一张关系表(来源、目标、类型、证据)足以应对大多数情况,且可导出至任意工具。

Method

方法

  1. Log every selector as a node the moment you find it, with its source.
  2. Draw an edge for each confirmed relationship; keep unconfirmed ones dashed.
  3. Look for high-degree nodes (a reused email or photo linking many accounts) — these are the strongest attribution pivots.
  4. Look for bridges connecting otherwise separate clusters — often the key finding (the link between two personas).
  5. Let gaps in the graph drive the next pivot.
  1. 找到每个选择器时立即将其作为节点记录,并标注来源。
  2. 为每个已确认的关系绘制边;未确认的关系用虚线表示。
  3. 寻找高连通度节点(例如关联多个账户的重复邮箱或照片)—— 这些是最有力的归因关联点。
  4. 寻找桥接节点——连接原本独立集群的节点,通常是关键发现(例如两个角色之间的关联)。
  5. 利用图谱中的空白区域指导下一步的关联拓展。

Payoff

成效

The graph both guides the investigation and becomes the entity map in
osint-report
. Keep confidence on every edge so the picture stays honest.
图谱既能引导调查进程,也会成为
osint-report
中的实体图谱。为每条边标注可信度,确保图谱信息真实可靠。