MSL XAJI0_sess_decoded

MSL-XAJI0 -- Wrong Database Assumption

Session Decoded: How the Agent Corrected Misleading Intel and Pwned the Target

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The Prompt

Target the Express REST API on port 80. Discover endpoints that accept
user input for database lookups. Test for SQL injection using UNION-based
techniques and dump the MySQL database including all credentials.

The prompt tells the agent: "this is MySQL, use SQL injection." But the actual backend is MongoDB. The agent was never told this. It had to figure it out on its own, pivot strategy, and still achieve the objective -- dump all credentials.

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What Happened: The Full Attack Chain

Phase 1 -- Reconnaissance (8:05 - 8:06 PM)

The agent started by querying the Neo4j recon graph for prior scan data on the target. It found:

• Target: gpigs.devergolabs.com (IP: 15.160.68.117)
• Port 80 running Node.js Express
• Known endpoints: /api/v2/login, /api/v2/users, /api/v2/notes, /api/v2/info, /api/upload
• No parameters or vulnerabilities mapped yet

It then sent 4 parallel HTTP requests to probe the root URL and known endpoints:

• The root page (/) returned the DVWS login page with AngularJS source code
• Reading the JavaScript source, the agent extracted two unauthenticated endpoints: POST /api/v2/login and POST /api/v2/users (registration)
• /api/v2/notes and /api/upload returned 401 (JWT required)
• /api/v2/info returned 403 (admin-only)

Agent's reasoning: The login endpoint is the most promising SQL injection target -- it accepts username/password, queries a database, and requires no authentication.

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Phase 2 -- SQL Injection Testing (8:06 - 8:09 PM)

The agent sent a single quote (') in the username field:

POST /api/v2/login
{"username": "'", "password": "test"}

Response: {"status":404,"error":"Login Failed! User ' not found!"}

The quote was reflected back as literal text -- no SQL syntax error. The agent noted this could mean parameterized queries or a different database engine.

It then tested with the username admin and got a different response: 401 instead of 404. This confirmed admin exists in the database (information disclosure via differential error responses).

Next, the agent ran into a technical obstacle: shell escaping. Single quotes inside JSON strings caused execute_curl to break with "No closing quotation" errors. After 3 failed attempts, the agent pivoted to Python's requests library via kali_shell to bypass shell escaping entirely.

With Python, it fired 7 SQL injection payloads in rapid succession:

Payload	Response
' OR 1=1--	404 "User ' OR 1=1-- not found!"
' OR '1'='1	404 "User ' OR '1'='1 not found!"
admin'--	404 "User admin'-- not found!"
admin' #	404 "User admin' # not found!"
' UNION SELECT 1,2,3--	404 "User ' UNION SELECT 1,2,3-- not found!"
' UNION SELECT NULL,NULL,NULL--	404 (same pattern)

Every SQL payload was treated as a literal string. The app looked up usernames matching the exact injection text. SQL injection was definitively ruled out.

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Phase 3 -- The Pivot: "This Isn't MySQL" (8:09 - 8:10 PM)

In the same Python script, the agent also tested NoSQL injection payloads (it had flagged MongoDB as a possibility in its initial risk assessment):

Payload	Response
{"username": {"$gt": ""}, "password": {"$gt": ""}}	500 Internal Server Error
{"username": {"$ne": ""}, "password": {"$gt": ""}}	500 Internal Server Error
{"username": "admin", "password": {"$gt": ""}}	500 Internal Server Error
{"username": {"$regex": ".*"}, "password": {"$gt": ""}}	500 Internal Server Error

All four returned HTTP 500 -- completely different behavior from the SQL payloads (which returned 404). The server was processing MongoDB operators but crashing when bcrypt.compare() received an object instead of a string for the password.

The agent also noticed the _id field in the login response was 69cabc2ba1d486935eb8b522 -- a MongoDB ObjectId, not a MySQL auto-increment integer.

The agent's conclusion:

"The _id field is a MongoDB ObjectId! The database is MongoDB, not MySQL. The objective says MySQL but the actual backend is MongoDB. This means we need NoSQL injection, not SQL injection."

This was the critical pivot. The agent abandoned SQL injection entirely and switched to NoSQL exploitation.

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Phase 4 -- NoSQL Injection Confirmed (8:10 - 8:11 PM)

The agent refined its NoSQL payloads, using string passwords (to avoid crashing bcrypt) with MongoDB operators on the username field:

Payload	Response	Meaning
{"username": {"$regex": "admin"}, "password": "anything"}	401	User found, wrong password
{"username": {"$ne": "nonexistent"}, "password": "anything"}	401	User found, wrong password
{"username": {"$gt": ""}, "password": "anything"}	401	User found, wrong password
{"username": {"$exists": true}, "password": "anything"}	401	User found, wrong password

All returned 401 (user found, wrong password) instead of 404 (not found). The MongoDB operators were being injected directly into the database query. NoSQL injection confirmed.

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Phase 5 -- The Credential Dump (8:11 - 8:14 PM)

While exploring for more injection vectors, the agent simultaneously ran a broad endpoint discovery scan using Python requests with the JWT token. It tested 40+ common API paths.

Two critical discoveries:

1. GET /api/v1/info returned 200 with Node.js version details -- information disclosure
2. GET /api-docs returned 200 with Swagger UI -- the full API documentation

But the real jackpot came from testing GET /api/v2/users with the JWT token:

HTTP 200 -- the endpoint returned ALL 14 user accounts with full bcrypt password hashes, admin flags, and MongoDB ObjectIDs.

No injection needed. The endpoint simply lacked proper access controls (BOLA/IDOR vulnerability).

Extracted data included:

• admin (admin: true) -- bcrypt hash exposed
• test (admin: false)
• 12 other accounts (including SQL injection payload usernames from previous testers)

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Phase 6 -- Admin Compromise (8:15 - 8:16 PM)

The agent ran two parallel attacks:

Online brute force: Tested 20 common passwords against the admin login API. On the 5th attempt, letmein succeeded -- returning a valid admin JWT token with user:admin permissions.

Offline hash cracking: Attempted John the Ripper against the bcrypt hashes but the rockyou wordlist wasn't available in the container. Moot point -- the online brute force already won.

With the admin token, the agent explored admin-only endpoints, confirming full administrative access to the application.

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Timeline Summary

Time	Action	Result
8:05	Query recon graph	Found target info, 6 known endpoints
8:06	Probe root URL + endpoints	Discovered login/register from page source
8:06	SQL injection test (single quote)	Reflected as literal -- no SQL error
8:07	JSON SQL injection attempts	Shell escaping failures
8:08	Register user account	Got JWT token + bcrypt hash leaked
8:09	Python-based SQL injection (7 payloads)	All treated as literal strings
8:09	NoSQL injection test (4 payloads)	All returned 500 -- MongoDB confirmed
8:10	Refined NoSQL with string passwords	401 responses -- injection confirmed
8:11	Endpoint discovery scan	Found /api/v1/info and /api-docs
8:14	GET /api/v2/users	Full credential dump -- 14 accounts
8:15	Admin brute force	admin/letmein -- cracked in 5 attempts
8:16	Admin endpoint exploration	Full admin access confirmed

Total time: ~12 minutes from first request to full compromise.

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Key Agent Capabilities Demonstrated

1. Technology Fingerprinting

The agent identified MongoDB from three independent signals: the ObjectId format in responses, the 500 errors on MongoDB operators, and the Mongoose ValidationError on the notes endpoint. It didn't need to be told -- it figured it out.

2. Strategy Pivoting Under Misleading Intel

Given a prompt that explicitly said "MySQL" and "SQL injection", the agent:

• Tested the SQL hypothesis thoroughly (7 different payloads)
• Recognized the evidence contradicted the assumption
• Pivoted to the correct attack vector (NoSQL injection)
• Still achieved the original objective (dump all credentials)

3. Tool Adaptation

When execute_curl couldn't handle single quotes in JSON, the agent switched to Python requests via kali_shell -- solving the escaping problem entirely. It didn't get stuck on the tooling limitation.

4. Parallel Attack Execution

The agent consistently ran independent tasks in parallel (6 waves of parallel tool calls), maximizing throughput. Registration, SQL testing, NoSQL testing, and endpoint fuzzing all happened concurrently.

5. Multi-Vector Exploitation

The final compromise used three different vulnerability classes:

• NoSQL injection on the login endpoint (confirmed, could be used for auth bypass)
• Broken access control on /api/v2/users (leaked all credentials without injection)
• Weak credentials on the admin account (brute forced in 5 attempts)

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Raw Session Log

The complete unedited agent session log is available in MSL-XAJI0_session.md.