breach-data-analysis
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ChineseBreach Data Analysis
数据泄露数据分析
Breach records reveal which services a selector used, what data leaked, and
sometimes reused usernames and passwords to pivot on.
泄露记录会显示某个查询对象(邮箱、用户名或手机号)曾使用过哪些服务、哪些数据遭泄露,有时还能通过重复使用的用户名和密码进行关联分析。
Check exposure
检查泄露情况
- Have I Been Pwned () — the trusted starting point. Shows which breaches an email appears in and what data classes leaked. API (keyed) enables bulk checks and the Pwned Passwords k-anonymity endpoint.
haveibeenpwned.com - DeHashed / Snusbase / IntelX — paid, searchable across email, username, name, phone, IP; return actual records. Use within your authorization only.
- Have I Been Pwned()——值得信赖的起点。 显示邮箱出现在哪些泄露事件中,以及哪些类型的数据遭泄露。带密钥的API支持批量查询,还有Pwned Passwords的k-匿名性端点。
haveibeenpwned.com - DeHashed / Snusbase / IntelX——付费服务,可通过邮箱、用户名、姓名、手机号、IP进行搜索;返回实际泄露记录。仅在获得授权的情况下使用。
Interpret
解读分析
- Service list = accounts to pivot to. An email in a forum breach reveals a
handle → ; a matching username elsewhere links identities.
username-osint - Data classes — note what leaked (passwords, addresses, DOB, security questions) to gauge risk, not to exploit it.
- Timeline — breach dates place the account's activity in time.
- 服务列表 = 可关联的账户。若某邮箱出现在论坛泄露事件中,可获取对应的用户名→;若其他地方出现相同用户名,则可关联身份信息。
username-osint - 数据类型——记录泄露的数据类型(密码、地址、出生日期、安全问题)以评估风险,而非用于攻击。
- 时间线——泄露事件的发生时间可定位账户的活动时段。
Hard rules
硬性规则
- Never use leaked passwords to log in to anything. Credential stuffing is a crime, full stop — see ../../ETHICS.md.
- Treat breach data as sensitive; store minimally and encrypted.
- Corroborate — breach compilations contain errors, duplicates, and fabricated rows. A single record is a lead, not proof.
- 绝不能使用泄露的密码登录任何平台。凭证填充属于犯罪行为,这是底线——详见../../ETHICS.md。
- 将泄露数据视为敏感信息;尽量少存储并加密保存。
- 交叉验证——泄露数据集合可能包含错误、重复和伪造条目。单条记录仅作为线索,而非证据。
Defensive use
防御性应用
For a self-audit or client, turn findings into action: rotate exposed passwords,
enable MFA, and check for reuse across the discovered services.
针对自我审计或客户需求,将分析结果转化为行动:更换已泄露的密码、启用MFA(多因素认证),并检查在已发现的服务中是否存在密码复用情况。