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Introduction:
A recent LinkedIn post by a penetration tester celebrating a successful exploit during the holy month of Ramadan has sparked curiosity within the cybersecurity community. The image, which appears to show a successful login bypass or privilege escalation, led peers to ask the critical questions: “What was the vuln brother?” and “Infokan poc mas” (Share the Proof of Concept). This article analyzes the most likely attack vectors based on the visual cues in the post, providing a technical deep dive into how such vulnerabilities are discovered and exploited, along with the commands and tools used in real-world engagements.
Learning Objectives:
- Understand how to identify and exploit Insecure Direct Object References (IDOR) and Broken Access Control vulnerabilities.
- Learn to use Burp Suite for parameter manipulation and response analysis.
- Master the command-line tools for directory busting and subdomain enumeration.
- Implement mitigation strategies using secure coding practices and cloud hardening.
You Should Know:
1. Reconnaissance and Directory Busting
The first step in any penetration test is mapping the attack surface. Based on the tester’s activity, they likely started with aggressive reconnaissance. To find hidden admin panels or API endpoints like the one possibly shown in the post, attackers use directory busting tools.
Step‑by‑step guide:
On Linux, we use `gobuster` or dirb. Here is how to find hidden directories:
Using Gobuster to find directories on a target gobuster dir -u https://target-site.com -w /usr/share/wordlists/dirb/common.txt -t 50
– -u: Specifies the target URL.
– -w: Path to the wordlist.
– -t: Number of threads for faster scanning.
For Windows, a similar tool is `dirsearch` (Python-based):
python dirsearch.py -u https://target-site.com -e php,html,js
This reveals hidden paths. If the tester found a debug panel or an unlinked API endpoint (like /api/debug/user), it becomes a prime target for the next step.
2. Parameter Manipulation and IDOR Exploitation
Given the comments asking for the “POC” (Proof of Concept), the vulnerability was likely an Insecure Direct Object Reference (IDOR). This occurs when an application exposes a direct reference to an internal object (like a file or database key) without proper access control checks.
Step‑by‑step guide:
- Intercept the Request: Configure Burp Suite as a proxy and intercept traffic. Look for requests containing IDs in the URL (e.g.,
GET /api/user/12345) or in POST data. - Modify the Parameter: Send the request to Repeater (Ctrl+R). Change the ID value sequentially (
12345to12346). - Analyze the Response: If the response returns data belonging to another user without requiring additional privileges, you have found an IDOR.
Linux command-line equivalent (using cURL):
Legitimate request curl -X GET https://target-site.com/api/user/12345 -H "Cookie: session=valid_cookie" Malicious request to test IDOR curl -X GET https://target-site.com/api/user/12346 -H "Cookie: session=valid_cookie"
If the second command returns data, the access control is broken.
3. Exploiting GraphQL Introspection
Modern applications often use GraphQL. If the tester encountered a GraphQL endpoint, they might have exploited introspection queries to map the entire database schema, looking for sensitive fields like `password` or creditCard.
Step‑by‑step guide:
Send a POST request to the GraphQL endpoint with the following payload:
query {
__schema {
types {
name
fields {
name
type {
name
}
}
}
}
}
Using cURL:
curl -X POST https://target-site.com/graphql \
-H "Content-Type: application/json" \
-d '{"query": "query { __schema { types { name fields { name type { name } } } } }"}'
If introspection is enabled in production, the attacker can map out hidden queries like `adminGetAllUsers` or debugResetPassword.
4. Privilege Escalation via JWT Manipulation
If the tester gained access to a low-privilege account, the next step is horizontal or vertical privilege escalation. JSON Web Tokens (JWTs) are often the culprit.
Step‑by‑step guide:
- Decode the JWT using a tool like `jwt_tool` or
jwt.io. - Check the algorithm. If the server supports “none” algorithm, an attacker can modify the payload and set the `alg` field to “none”.
3. Exploitation:
Using PyJWT to create a forged token (example concept)
import jwt
forged_payload = {"user_id": 1, "role": "admin"}
Attempt with 'none' algorithm (requires library tweak)
Or attempt with HS256 if the public key is leaked (algorithm confusion)
Linux Command:
Using john the ripper to crack a weak JWT secret john --format=HMAC-SHA256 jwt_hash.txt --wordlist=/usr/share/wordlists/rockyou.txt
5. Exfiltration and Data Validation
Once access is verified, the tester needs to confirm the impact. This is where they would demonstrate the ability to list or download data.
Windows Command for downloading a discovered backup file:
Invoke-WebRequest -Uri "https://target-site.com/backups/db_backup.zip" -OutFile "C:\pentest\db_backup.zip"
Linux Command:
wget https://target-site.com/backups/db_backup.zip
6. Hardening Against the Attack (Mitigation)
To prevent the “congratsss” post from turning into a breach, developers must implement specific controls.
Configuration (Apache/NGINX):
Block access to sensitive directories:
Apache: .htaccess <FilesMatch "\.(bak|config|sql|ini)$"> Order allow,deny Deny from all </FilesMatch>
API Security (Python/Flask):
Implement proper authorization checks on every endpoint:
@app.route('/api/user/<int:user_id>')
def get_user(user_id):
BAD: current_user = get_current_user()
if user_id == current_user.id: return data
GOOD: Check if the requesting user owns the resource OR is admin
if not current_user.is_admin and current_user.id != user_id:
return jsonify({"error": "Unauthorized"}), 403
... fetch data
What Undercode Say:
- The Human Element is Key: The excitement in the original post (“Alhamdulilah Ramadan Kareem”) highlights that penetration testing is as much about persistence and patience as it is about technical skill. The tester likely spent hours on reconnaissance before finding the entry point.
- Automation vs. Manual Testing: While tools like Gobuster and Burp Suite are essential, the “POC” request from peers proves that manual verification and chaining of vulnerabilities (e.g., IDOR leading to RCE) are what separate script kiddies from professional pentesters.
- Cloud and API Security are the New Frontier: The lack of explicit mention of SQLi or XSS suggests the bug was likely in an API misconfiguration (like GraphQL introspection) or cloud storage misconfiguration, which are the most common critical findings in modern web applications.
Prediction:
As more applications migrate to serverless architectures and API-driven designs, the “low-hanging fruit” of XSS and SQLi will decline. However, business logic flaws and access control issues (like the one celebrated in this post) will become the primary vector for data breaches. Expect to see a surge in demand for pentesters who specialize in GraphQL security and cloud infrastructure auditing over the next 12 months.
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IT/Security Reporter URL:
Reported By: Galih Adi – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
