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emalderson/ThePhish

默认分支 master · commit c8aedee1 · 扫描时间 2026/6/28 14:18:25

星标 1,351 · Fork 199

本仓库扫描历史

下方为分数趋势(含全部就绪扫描;左旧右新,可横向滚动)。表格明细默认折叠,展开后每页 10 条,最新在上。

分数趋势(左 → 右:旧 → 新)

共 2 条就绪扫描。点击下方按钮展开表格(每页 10 条,可翻页)。

AI 可见性总分
35 /100
亟需修复
品类召回
0 / 2
在所有问题中均未被推荐
规则结果
通过 1 · 警告 1 · 失败 0
客观元数据检查
AI 认识你的名字
3 / 3
直接询问时,AI 是否点名你的仓库
如何阅读这份报告

行动计划告诉你下一步要做什么——按影响力排序、可直接复制粘贴的修改。品类可见性是真正的 GEO 测试:当用户向 AI 提一个不带品牌、本应让 emalderson/ThePhish 浮出水面的问题时,AI 是真的推荐了你,还是推荐了你的竞品?客观检查验证 AI 引擎最先权衡的那些元数据信号。自指检查判断 AI 是否还认识你的名字。

行动计划 — 可复制粘贴的修复

3 条由 gemini-2.5-flash 生成、按优先级排序的修改。修完后请把对应条目标记为完成。

整体方向
  • highreadme#1
    Reposition the README's opening paragraph to clarify its standalone, open-source nature

    原因:

    当前
    ThePhish is an automated phishing email analysis tool based on TheHive, Cortex and MISP. It is a web application written in Python 3 and based on Flask that automates the entire analysis process starting from the extraction of the observables from the header and the body of an email to the elaboration of a verdict which is final in most cases.
    复制粘贴的修复
    ThePhish is an **open-source** automated phishing email analysis tool and web application, written in Python 3 and Flask. It provides comprehensive, automated analysis of suspicious emails, extracting observables from headers and bodies to generate a final verdict. While it integrates seamlessly with TheHive, Cortex, and MISP, ThePhish functions as a standalone solution for security researchers and incident responders.
  • highhomepage#2
    Add the repository URL as the project homepage

    原因:

    复制粘贴的修复
    https://github.com/emalderson/ThePhish
  • mediumtopics#3
    Refine topics to include 'open-source', 'email-analysis', 'automation', and 'verdict-generation'

    原因:

    当前
    attack, cyberdefense, cybersecurity, detection, digital-forensics, email, free, incident-response, indicators-of-compromise, malware, misp, phishing, phishing-detection, python, script, thehive, thehive4, thehive4py, threat-intelligence, webapp
    复制粘贴的修复
    attack, cyberdefense, cybersecurity, detection, digital-forensics, email, email-analysis, free, incident-response, indicators-of-compromise, malware, misp, open-source, phishing, phishing-detection, python, script, thehive, thehive4, thehive4py, threat-intelligence, webapp, verdict-generation, automation

本次扫描解析到的品类 GEO 通道:google/gemini-2.5-flash, deepseek/deepseek-v4-flash

品类可见性 — 真正的 GEO 测试

向 google/gemini-2.5-flash 提出的不带品牌问题。AI 推荐了你,还是推荐了别人?

各模型使用同一组问题 — 切换标签对比回答与排名。

召回
0 / 2
0% 的问题里出现了 emalderson/ThePhish
平均排名
越小越好。#1 表示首位推荐。
声量占比
0%
在所有被点名的工具中,你占了多少?
头号对手
Proofpoint Targeted Attack Protection (TAP) Email Protection
在 2 个问题中被推荐 1 次
竞品排行
  1. Proofpoint Targeted Attack Protection (TAP) Email Protection · 被推荐 1 次
  2. Microsoft Defender for Office 365 (MDO) · 被推荐 1 次
  3. Mimecast Email Security with Targeted Threat Protection · 被推荐 1 次
  4. Barracuda Email Protection · 被推荐 1 次
  5. Valimail · 被推荐 1 次
  • 品类问题
    What tools automate phishing email analysis and generate verdicts from email headers?
    你:未被推荐
    AI 推荐顺序:
    1. Proofpoint Targeted Attack Protection (TAP) Email Protection
    2. Microsoft Defender for Office 365 (MDO)
    3. Mimecast Email Security with Targeted Threat Protection
    4. Barracuda Email Protection
    5. Valimail
    6. Cofense Triage
    7. SpamAssassin

    AI 推荐了 7 个替代方案,却始终没点名 emalderson/ThePhish。这就是要补上的差距。

    查看 AI 完整回答
  • 品类问题
    Looking for a Python web application to automate incident response for suspicious emails.
    你:未被推荐
    AI 推荐顺序:
    1. TheHive Project (TheHive-Project/TheHive)
    2. Cortex (TheHive-Project/Cortex)
    3. MISP (MISP/MISP)
    4. Shuffle (frikky/Shuffle)
    5. Flask (pallets/flask)
    6. Django (django/django)
    7. email
    8. mailparser (SpamScope/mailparser)
    9. YARA-Python (VirusTotal/yara-python)
    10. requests (psf/requests)
    11. VirusTotal
    12. URLScan.io
    13. celery (celery/celery)
    14. SQLAlchemy (sqlalchemy/sqlalchemy)
    15. Security Onion (Security-Onion-Solutions/securityonion)
    16. Playbook
    17. Demisto
    18. Palo Alto Networks Cortex XSOAR

    AI 推荐了 18 个替代方案,却始终没点名 emalderson/ThePhish。这就是要补上的差距。

    查看 AI 完整回答

客观检查

针对 AI 引擎最看重的元数据信号的规则审计。

  • Metadata completeness
    warn

    建议:

  • README presence
    pass

自指检查

当被直接问到你时,AI 是否还知道你的仓库存在?

  • Compared to common alternatives in this category, what is the core differentiator of emalderson/ThePhish?
    pass
    AI 明确点名了 emalderson/ThePhish

    AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?

  • If a team adopts emalderson/ThePhish in production, what risks or prerequisites should they evaluate first?
    pass
    AI 明确点名了 emalderson/ThePhish

    AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?

  • In one sentence, what problem does the repo emalderson/ThePhish solve, and who is the primary audience?
    pass
    AI 明确点名了 emalderson/ThePhish

    AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?

嵌入你的 GEO 徽章

把这个徽章贴进 emalderson/ThePhish 的 README。每次重新扫描都会自动更新,并跳到最新报告——是「我在乎 AI 可发现性」最简单的公开证明。

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Pro

订阅 Pro,解锁深度诊断

emalderson/ThePhish — 轻量扫描仍免费;本卡列出 Pro 相对轻量的深度额度。

  • 深度报告每月 10 次
  • 无品牌品类查询5,轻量 2
  • 优先行动项8,轻量 3