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ccsrch_regex.py
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ccsrch_regex.py
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# by huowuzhao
import os
import sys
import signal
import subprocess
import tempfile
import shutil
import json # 引入json模块用于JSON格式输出
from datetime import datetime
import textract # 引入textract包用于处理各种文档类型
import re # 引入正则表达式模块,使用了正则表达式就比较灵活了,可以检索别的敏感信息,比较灵活
# 全局变量定义
logfilename = None
logfilefd = None
total_count = 0
extracted_archive_count = 0
skipped_executable_count = 0
currfilename = None
skipchars = [' ', '\n', '\r', '-']
skipchar_count = len(skipchars)
ignore_list = set()
file_extensions_to_exclude = set()
processing_docx = False
processing_xlsx = False
results = [] # 用于存储结果的全局列表
json_output_enabled = False # JSON 输出的开关
current_parent_path = "" # 保存压缩文件的路径
mask_card_numbers = False # 脱敏功能的开关
# 文件类型枚举
class FileType:
UNKNOWN = 'UNKNOWN'
ASCII = 'ASCII'
EXECUTABLE = 'EXECUTABLE'
IMAGE = 'IMAGE'
VIDEO = 'VIDEO'
AUDIO = 'AUDIO'
TAR = 'TAR'
ZIP = 'ZIP'
GZIP = 'GZIP'
XML = 'XML'
PDF = 'PDF'
OTT = 'OTT'
ODT = 'ODT'
OTS = 'OTS'
ODS = 'ODS'
MS_EXCEL = 'MS_EXCEL'
MS_WORD = 'MS_WORD'
MS_WORDX = 'MS_WORDX'
MS_EXCELX = 'MS_EXCELX'
BINARY = 'BINARY'
# 信用卡检测逻辑和算法
def luhn_check(card_number):
# 使用Luhn算法验证信用卡号
digits = [int(ch) for ch in str(card_number) if ch.isdigit()]
checksum = 0
reverse_digits = digits[::-1]
for i, digit in enumerate(reverse_digits):
if i % 2 == 1:
digit *= 2
if digit > 9:
digit -= 9
checksum += digit
return checksum % 10 == 0
def find_potential_credit_card_numbers(text, line_number=None):
# 使用正则表达式查找潜在的信用卡号
card_pattern = r'\b(?:\d[ -]*?){13,16}\b'
matches = re.finditer(card_pattern, text)
potential_cards = []
for match in matches:
card_number = match.group()
# 去除卡号中的空格和破折号
cleaned_number = re.sub(r'[^0-9]', '', card_number)
if 13 <= len(cleaned_number) <= 16 and luhn_check(cleaned_number):
potential_cards.append((card_number, line_number))
return potential_cards
# 信用卡类型检测函数
def get_card_type(card_number):
"""检测信用卡类型"""
cleaned_number = re.sub(r'[^0-9]', '', card_number) # 去除非数字字符
if is_visa(cleaned_number):
return 'VISA'
elif is_mastercard(cleaned_number):
return 'MasterCard'
elif is_amex(cleaned_number):
return 'American Express'
elif is_discover(cleaned_number):
return 'Discover'
elif is_jcb(cleaned_number):
return 'JCB'
elif is_diners_club(cleaned_number):
return 'Diners Club'
else:
return 'Unknown'
def is_visa(card_number):
"""检测Visa卡"""
return len(card_number) in [13, 16] and card_number[0] == '4'
def is_mastercard(card_number):
"""检测MasterCard卡"""
return len(card_number) == 16 and 51 <= int(card_number[:2]) <= 55
def is_amex(card_number):
"""检测American Express卡"""
return len(card_number) == 15 and card_number[:2] in ['34', '37']
def is_discover(card_number):
"""检测Discover卡"""
return len(card_number) == 16 and card_number[:4] == '6011'
def is_jcb(card_number):
"""检测JCB卡"""
return len(card_number) in [15, 16] and (
3528 <= int(card_number[:4]) <= 3589)
def is_diners_club(card_number):
"""检测Diners Club卡"""
return len(card_number) == 14 and (300 <= int(card_number[:3]) <= 305 or
card_number[:2] in ['36', '38'])
def mask_card_number(card_number):
"""对信用卡号进行脱敏处理"""
if len(card_number) <= 4:
return card_number # 卡号太短不需要脱敏
return card_number[:4] + "#" * (len(card_number) - 10) + card_number[-4:]
# 初始化模块
def initialise_mods():
global skipchars
global skipchar_count
skipchars = [' ', '\n', '\r', '-']
skipchar_count = len(skipchars)
return True
# 信号处理
def signal_handler(signum, frame):
cleanup()
sys.exit(0)
def setup_signal_handlers():
signal.signal(signal.SIGINT, signal_handler)
signal.signal(signal.SIGTERM, signal_handler)
# 文件类型检测
def detect_file_type(filename):
try:
result = subprocess.run(['file', '--mime', '-b', filename], stdout=subprocess.PIPE, text=True)
output = result.stdout.lower()
if 'text/plain' in output:
return FileType.ASCII
elif 'executable' in output or 'x-sharedlib' in output:
return FileType.EXECUTABLE
elif 'image' in output:
return FileType.IMAGE
elif 'video' in output:
return FileType.VIDEO
elif 'audio' in output:
return FileType.AUDIO
elif 'application/x-tar' in output:
return FileType.TAR
elif 'application/zip' in output:
return FileType.ZIP
elif 'application/x-gzip' in output:
return FileType.GZIP
elif 'application/xml' in output:
return FileType.XML
elif 'application/pdf' in output:
return FileType.PDF
elif 'opendocument.text-template' in output:
return FileType.OTT
elif 'opendocument.text' in output:
return FileType.ODT
elif 'opendocument.spreadsheet.template' in output:
return FileType.OTS
elif 'opendocument.spreadsheet' in output:
return FileType.ODS
elif 'application/vnd.ms-excel' in output:
return FileType.MS_EXCEL
elif 'application/msword' in output or 'application/vnd.ms-word' in output:
return FileType.MS_WORD
else:
return FileType.UNKNOWN
except Exception as e:
print(f"Error detecting file type: {e}")
return FileType.UNKNOWN
# 忽略列表读取
def read_ignore_list(filename):
try:
with open(filename, 'r') as f:
ignore_numbers = f.read().splitlines()
return set(ignore_numbers)
except Exception as e:
print(f"Error reading ignore list: {e}")
return set()
# 目录扫描
def process_directory(path):
global total_count
for root, dirs, files in os.walk(path):
for file in files:
file_path = os.path.join(root, file)
if is_allowed_file_type(file_path):
continue
total_count += process_file(file_path)
# 文件扫描
def process_file(filename):
global logfilefd, current_parent_path
filetype = detect_file_type(filename)
if filetype in (FileType.EXECUTABLE, FileType.IMAGE, FileType.VIDEO, FileType.AUDIO):
print(f"Skipping unsupported file type: {filename}")
return 0
if filetype == FileType.ZIP:
return unzip_and_parse(filename)
elif filetype == FileType.GZIP:
return gunzip_and_parse(filename)
elif filetype == FileType.TAR:
return untar_and_parse(filename)
elif filetype in (FileType.PDF, FileType.MS_WORD, FileType.MS_WORDX, FileType.MS_EXCEL, FileType.MS_EXCELX):
return parse_with_textract(filename)
else:
return search_file_content(filename)
# 使用textract解析文件
def parse_with_textract(filename):
global total_count, results, current_parent_path
try:
text = textract.process(filename).decode('utf-8')
lines = text.splitlines()
detected_cards = []
for i, line in enumerate(lines, start=1):
detected_cards.extend(find_potential_credit_card_numbers(line, line_number=i))
for card, line_number in detected_cards:
card_type = get_card_type(card)
if card not in ignore_list and card_type != 'Unknown': # 跳过Unknown卡
# 使用组合路径
output_path = os.path.join(current_parent_path, os.path.basename(filename)) if current_parent_path else filename
# 卡号脱敏处理
displayed_card = mask_card_number(card) if mask_card_numbers else card
# 获取卡号上下文,并进行脱敏处理
context = get_card_context(lines, line_number, card) if mask_card_numbers else get_card_context(lines, line_number)
print(f"Detected {card_type} card in {output_path} at line {line_number}: {displayed_card}")
print("Context:")
print(context)
results.append({
"filename": output_path,
"line_number": line_number,
"card_number": displayed_card,
"card_type": card_type,
"context": context
})
total_count += 1
return len(detected_cards)
except Exception as e:
print(f"Error processing file {filename} with textract: {e}")
return 0
# 获取信用卡号的上下文
def get_card_context(lines, line_number, card_number=None):
# 确保打印上下三行和当前行
start_line = max(line_number - 4, 0)
end_line = min(line_number + 3, len(lines))
# 提取上下文
context = "\n".join(lines[start_line:end_line])
# 如果需要脱敏,在上下文中替换信用卡号
if card_number:
masked_card = mask_card_number(card_number)
context = re.sub(re.escape(card_number), masked_card, context)
return context
# 检查文件类型是否允许
def is_allowed_file_type(name):
ext = os.path.splitext(name)[1].lower()
return ext in file_extensions_to_exclude
# 文件内容扫描
def search_file_content(filename):
global ignore_list, total_count, results, current_parent_path
try:
with open(filename, 'r', errors='ignore') as f:
lines = f.readlines()
detected_cards = []
for line_number, line in enumerate(lines, start=1):
detected_cards.extend(find_potential_credit_card_numbers(line, line_number=line_number))
for card, line_number in detected_cards:
card_type = get_card_type(card)
if card not in ignore_list and card_type != 'Unknown': # 跳过Unknown卡
# 使用组合路径
output_path = os.path.join(current_parent_path, os.path.basename(filename)) if current_parent_path else filename
# 卡号脱敏处理
displayed_card = mask_card_number(card) if mask_card_numbers else card
# 获取卡号上下文,并进行脱敏处理
context = get_card_context(lines, line_number, card) if mask_card_numbers else get_card_context(lines, line_number)
print(f"Detected {card_type} card in {output_path} at line {line_number}: {displayed_card}")
print("Context:")
print(context)
results.append({
"filename": output_path,
"line_number": line_number,
"card_number": displayed_card,
"card_type": card_type,
"context": context
})
total_count += 1
return len(detected_cards)
except Exception as e:
print(f"Error reading file {filename}: {e}")
return 0
# 解压ZIP文件
def unzip_and_parse(filename):
global current_parent_path
temp_dir = tempfile.mkdtemp()
try:
# 保存当前压缩文件的路径
original_parent_path = current_parent_path
current_parent_path = filename # 更新当前父路径
subprocess.run(['unzip', '-o', '-d', temp_dir, filename], stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL)
process_directory(temp_dir)
finally:
shutil.rmtree(temp_dir)
current_parent_path = original_parent_path # 恢复父路径
return 0
# 解压GZIP文件
def gunzip_and_parse(filename):
global current_parent_path
temp_file = tempfile.mkdtemp()[1]
try:
# 保存当前压缩文件的路径
original_parent_path = current_parent_path
current_parent_path = filename # 更新当前父路径
with open(temp_file, 'wb') as f_out:
subprocess.run(['gzip', '-d', '-c', filename], stdout=f_out)
return search_file_content(temp_file)
finally:
os.remove(temp_file)
current_parent_path = original_parent_path # 恢复父路径
# 解压TAR文件
def untar_and_parse(filename):
global current_parent_path
temp_dir = tempfile.mkdtemp()
try:
# 保存当前压缩文件的路径
original_parent_path = current_parent_path
current_parent_path = filename # 更新当前父路径
subprocess.run(['tar', '-xvf', filename, '-C', temp_dir], stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL)
process_directory(temp_dir)
finally:
shutil.rmtree(temp_dir)
current_parent_path = original_parent_path # 恢复父路径
return 0
# 清理和退出
def cleanup():
global results
if logfilefd:
logfilefd.close()
print(f"\nTotal files processed: {total_count}")
print(f"Total credit card matches: {total_count}")
print(f"Archives extracted: {extracted_archive_count}")
print(f"Skipped executables: {skipped_executable_count}")
# 如果启用JSON输出,将结果写入文件
if json_output_enabled:
with open('result_json.json', 'w') as json_file:
json.dump(results, json_file, indent=4)
print("\nResults have been written to result_json.json.")
# 主函数
def main():
global logfilename, logfilefd, ignore_list, file_extensions_to_exclude, json_output_enabled, mask_card_numbers
if len(sys.argv) < 2:
print("Usage: python ccsrch.py <options> <start_path>")
sys.exit(1)
# 解析命令行参数
start_path = sys.argv[-1]
initialise_mods()
setup_signal_handlers()
# 读取忽略列表(如果提供)
for i, arg in enumerate(sys.argv):
if arg == '--json-output':
json_output_enabled = True
elif arg == '--mask':
mask_card_numbers = True
elif arg == '-i' and i + 1 < len(sys.argv):
ignore_list = read_ignore_list(sys.argv[i + 1])
elif arg == '-n' and i + 1 < len(sys.argv):
file_extensions_to_exclude = set(sys.argv[i + 1].split(','))
# 扫描目录或文件
if os.path.isdir(start_path):
process_directory(start_path)
elif os.path.isfile(start_path):
process_file(start_path)
else:
print("Invalid path specified.")
sys.exit(1)
cleanup()
if __name__ == "__main__":
main()