agentleFS
Ed1s0nZEd1s0nZ/CyberStrikeAI/skills/initial-access-phishing/SKILL.md

initial-access-phishing

Skill8.5k starsChanged 9 days agoApache-2.0View on GitHub

初始访问/钓鱼/社工:凭据喷洒,AiTM,设备码,OAuth同意钓鱼,载荷,vishing。Use when needing initial access, phishing, AiTM, device code, or social engineering.

2 other projects use a version of this.

Trending

Quiet since June.thin dataabout the whole repository

Dec 2025: 2 mentionsJan 2026: 0 mentionsFeb 2026: 1 mentionMar 2026: 3 mentionsApr 2026: 1 mentionMay 2026: 1 mentionJun 2026: 1 mentionJul 2026: 0 mentionsAug 2026: 0 mentionsSep 2026: 0 mentionsOct 2026: 0 mentionsNov 2026: 0 mentions
Dec 2025Jun 2026Nov 2026
Mentions a month of the Ed1s0nZ/CyberStrikeAI repository that our weekly crawl found: only 9 in all, so this is a hint, not a trend. There is no adoption data for this file yet.

Most recently taken up by

Who's talking about Ed1s0nZ/CyberStrikeAI

The biggest 5 of 9 mentions linking to the repository that our crawl found. Each line is their own headline.

See all 9

Talked about on GitHub, Bluesky and Hacker News (9 times).

On GitHub · 6

1 more on GitHub

On Hacker News · 1

The file

Files
SKILL.md

初始访问 / 钓鱼 / 社工

=== 初始访问/钓鱼/社工(外部进内部第一跳,打点前的打点) ===
凭据喷洒: 弱密码(Season+Year!/公司名123)喷全体账号(每账号1-2次避锁定) | 来源:泄露库/OSINT邮箱格式(f.last@)/默认凭据
AiTM钓鱼(绕MFA): evilginx3/Modlishka反代真站→中间人偷session cookie+token(绕MFA) | phishlet配域名+证书
设备码钓鱼(Azure/M365): device code flow→诱导受害者输码→拿access/refresh token(无需密码/MFA) | TokenTactics/AADInternals
钓鱼载荷: gophish发信+落地页 | 载荷 lnk/iso/宏/HTA/OneNote | 绕网关:密码zip/云盘链接/HTML走私
OAuth同意钓鱼(illicit consent): 恶意App请求过度scope(Mail.Read/offline_access)→受害者同意→长期访问令牌
社工前戏: OSINT组织架构/供应商/口令习惯(LinkedIn/招聘/GitHub) | pretext借口(IT支持/供应商/HR) | vishing(deepfake声音)
→ 初始access落地即转 `redteam-opsec`(别一进门就被EDR抓), 拿到的能力进 `capability-primitive-search` 凑链

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.