Context-aware SQL transformation framework for WAF bypass with proper safeguards.
Author: Regaan
License: GPL v2
Version: 2.1.0
- Full SQL lexer with UUID tracking
- Multi-character operator support (
>=,<=,<>,!=) - Context-aware transformations
- String literal and comment preservation
- Hierarchical SQL structure
- Nested subquery handling
- Depth-aware transformations
- Function call detection
- Deterministic output (same input = same output)
- Reapplication protection
- SQL validity preservation
- No random mutations
git clone https://github.com/noobforanonymous/sqlmap-tamper-collection.git
cd sqlmap-tamper-collection
# Copy tamper script to SQLMap
cp tamper_scripts/cloudflare2025.py /path/to/sqlmap/tamper/
# Or install framework for development
pip install -e .sqlmap -u "https://target.com?id=1" --tamper=cloudflare2025cd tamper_scripts
python3 cloudflare2025.pyContext-aware multi-layer WAF bypass.
Transformations:
-
Keyword Wrapping - MySQL version comments
SELECT -> /*!50000SELECT*/
-
Space Replacement - Inline comments
' ' -> '/**/'
-
Value Encoding - URL encoding (WHERE/HAVING only)
>= -> %3E%3D
-
Case Alternation - Alternating case
SELECT -> sElEcT
Example:
Input: SELECT * FROM users WHERE id>=5
Output: /*!50000sElEcT*//**/*/**//*!50000fRoM*//**/users/**//*!50000wHeRe*//**/id%3E%3D5
Critical Fixes:
- Operators encoded correctly (
>=becomes%3E%3D, not%3E=) - UUID tracking prevents position bugs
- Context-aware (only encodes in WHERE/HAVING)
- Deterministic output
- String/comment preservation
Lexer (tamper_framework/lexer.py)
- Tokenizes SQL queries
- UUID-based token tracking
- Multi-char operator support
Context Tracker (tamper_framework/context.py)
- Tracks SQL clause state
- Knows WHERE vs SELECT vs FROM
- Nesting depth tracking
Transformer (tamper_framework/transformer.py)
- Context-aware transformations
- Reapplication protection
- Deterministic output
AST Builder (tamper_framework/ast_builder.py)
- Hierarchical SQL structure
- Subquery detection
- Function call handling
Core Transformations:
keyword_wrap.py- MySQL version comment wrappingspace_replace.py- Space to/**/replacementcase_alternate.py- Alternating case (sElEcT)value_encode.py- Operator URL encoding
Advanced Transformations (v2.1.0+):
homoglyph.py- Unicode lookalike charactersfunction_wrap.py- IF()/CASE wrappingnumeric_obfuscation.py- Hex/float/math numberscomment_chaos.py- Varied comment styleslogical_operator_swap.py- AND/OR to &&/||hex_encode.py- String to hex encodingversion_comment_vary.py- Variable MySQL versions
| WAF | Script | Key Techniques |
|---|---|---|
| Cloudflare | cloudflare2025.py |
Version comments, case, space |
| AWS WAF v2 | awswaf2026.py |
Hex encoding, &&/ |
| Azure WAF | azurewaf2026.py |
Hex strings, comment chaos |
| ModSecurity CRS | modsec_crs2026.py |
Case first, math numbers |
| Imperva | imperva2026.py |
Homoglyphs, function wrap |
| Akamai Kona | akamai2026.py |
Float numbers, enterprise |
| Auto-Select | meta_tamper.py |
Env-based chain combiner |
from tamper_framework.transformer import SQLTransformer
from tamper_framework.transformations import create_keyword_wrap_rule
transformer = SQLTransformer()
transformer.add_rule(create_keyword_wrap_rule())
result = transformer.transform("SELECT * FROM users")
# Result: /*!50000SELECT*/ * /*!50000FROM*/ usersfrom tamper_framework.transformations import create_value_encode_rule
transformer = SQLTransformer()
transformer.add_rule(create_value_encode_rule())
# Only encodes in WHERE clause
result = transformer.transform("SELECT * FROM users WHERE id>=5")
# WHERE clause: id%3E%3D5
# SELECT clause: * (not encoded)from tamper_framework.transformer import TransformationRule
from tamper_framework.lexer import Token, TokenType
from tamper_framework.context import SQLContext, ClauseType
def my_transform(token: Token, context: SQLContext) -> Token:
if context.clause == ClauseType.WHERE:
# Transform only in WHERE clause
pass
return token
rule = TransformationRule(
name="my_rule",
transform_func=my_transform,
target_types=[TokenType.OPERATOR],
allowed_clauses=[ClauseType.WHERE]
)# All tests
python3 tests/test_lexer.py # 10 tests
python3 tests/test_transformer.py # 10 tests
python3 tests/test_integration.py # 13 tests
# Total: 33/33 tests passing- Lexer Tests: Multi-char operators, string literals, comments, UUID tracking
- Transformer Tests: All transformations, context awareness, deterministic output
- Integration Tests: Real SQLMap payloads, complex queries, edge cases
- Architecture - Framework design and components
- API Reference - Complete API documentation
- Development Guide - Contributing and best practices
1. Multi-Character Operator Support
Problem: Naive lexing breaks >= into > and =
# WRONG: '>=' -> '%3E' + '=' = '%3E=' (broken SQL)
# RIGHT: '>=' -> '%3E%3D' (complete encoding)Solution: Check multi-char operators FIRST in lexer
2. UUID-Based Token Tracking
Problem: Position-based tracking breaks when token values change
# Token at position 10: "SELECT"
# After wrapping: "/*!50000SELECT*/"
# Position 10 is now invalid!Solution: Each token gets a UUID that never changes
3. Context Awareness
Problem: Can't tell if operator is in SELECT or WHERE
SELECT * FROM users WHERE id=1
^ ^
(don't encode) (encode this)Solution: Track SQL clause state
-
MySQL/MariaDB Focus
- Designed for MySQL syntax
- May not work with PostgreSQL, MSSQL, Oracle
-
Simplified Parsing
- Not a full SQL parser
- Complex nested queries may have edge cases
-
WAF Dependent
- Effectiveness varies by WAF configuration
- No universal bypass guarantee
Complex Nested Queries:
- Deeply nested subqueries may fail
- Workaround: Simplify query structure
Non-MySQL Databases:
- Scripts designed for MySQL syntax
- Workaround: Modify for target database
Token-Based vs AST-Based:
- Token-based: Faster, simpler (use for most cases)
- AST-based: More accurate, handles nesting (use for complex queries)
Benchmarks:
- Simple query (10 tokens): ~1ms
- Complex query (100 tokens): ~5ms
- Nested subquery: ~10ms
Contributions welcome! Please:
- Run all tests before submitting
- Document changes in code and docs
- Follow code style (see DEVELOPMENT.md)
- Test with real SQLMap if possible
⚠️ AUTHORIZED TESTING ONLY⚠️ These transformations are deterministic and context-safe via the framework's lexer/AST—not for generating random malicious variants. Misuse voids any educational intent.
✅ Permitted Use:
- Systems you own
- With written authorization
- Authorized penetration testing engagements
- Bug bounty programs (within defined scope)
- Local vulnerable app testing (DVWA, bWAPP, SQLi-labs)
❌ Prohibited Use:
- Unauthorized systems
- Illegal activities
- Causing harm or damage
- Violating terms of service
- Production systems without explicit permission
Legal Frameworks: Unauthorized access to computer systems is illegal under:
- Computer Fraud and Abuse Act (CFAA) - United States
- Computer Misuse Act - United Kingdom
- IT Act 2000, Section 66 - India
- Similar laws in other jurisdictions
By using these tools, you agree to use them legally and responsibly.
The author (Regaan) is not responsible for misuse or damage caused by these tools.
Framework outputs are reproducible for research/verification; no built-in randomization to prevent abuse.
Maintained for authorized red team / bug bounty use. Report issues responsibly.
- GitHub Issues: https://github.com/noobforanonymous/sqlmap-tamper-collection/issues
- Documentation: See
docs/directory - Email: support@rothackers.com
- New WAF Scripts: AWS WAF, Azure WAF, ModSecurity CRS, Imperva, Akamai
- New Transformations: Homoglyphs, function wrap, numeric obfuscation, comment chaos, logical swap, hex encode, version vary
- Meta Tamper: Auto-chain combiner with environment variable support
- Examples Gallery:
docs/EXAMPLES.mdwith 20+ scenarios - Backtick identifier support
- CROSS/FULL JOIN support
- Enhanced documentation
- Complete rewrite with token-based framework
- UUID tracking for proper token management
- Multi-character operator support
- Context-aware transformations
- AST builder for hierarchical structure
- Comprehensive test suite (33+ tests)
- Fixed operator encoding bug
- Deterministic output
- Reapplication protection
Built with engineering discipline, tested thoroughly, documented completely.