[GXYCTF2019]StrongestMind

本文介绍了一个简单的Python脚本,用于解决特定网站上的自动化挑战。该脚本通过解析页面中的数学表达式并计算结果来实现自动答题,最终目标是成功提交1000次答案。

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拿到这个题稍微分析了下流量,没什么发现,它这个题又只需要计算成功1000次,所以打算还是写脚本

小菜鸡写的脚本终于跑起来了,5555555555555555555

from requests import *
import time
import re
url1 = "http://17adede6-b59f-4b4a-af2a-8276a4cf8fc3.node4.buuoj.cn:81/"
url2 = "http://17adede6-b59f-4b4a-af2a-8276a4cf8fc3.node4.buuoj.cn:81/index.php"
s=session()
ss=s.get(url1).text
sss=re.findall("<br><br>(.*?)<br><br>",ss)
sss=''.join(sss).replace(" ","")
payload=eval(sss)
data={
    'answer':payload
  }
res=s.post(url=url2,data=data)
res.encoding = "UTF-8"
print(res.text)
time.sleep(0.1)

for i in range(1001):
  
 
  sss=re.findall("\d+.[-|+].\d+",res.text)
  print(sss)
  sss=''.join(sss).replace(" ","")
  
  payload=eval(sss)

  data={
    'answer':payload
  }
  res=s.post(url=url2,data=data)
  res.encoding = "UTF-8"
  print("第{}次".format(i+1),res.text)
  time.sleep(0.1)
### GXYCTF2019 BabySQli SQL Injection Challenge Solution In addressing the specific challenge named BabySQli from GXYCTF2019, understanding how to manipulate queries through injection techniques is crucial. The initial approach involves identifying a vulnerable point within an application's input handling mechanism where unfiltered user inputs can alter backend database commands. For this particular case, consider that the original query structure might resemble something similar to: ```sql SELECT id FROM products WHERE name = 'abcd' ``` An attacker could exploit such a scenario by injecting additional SQL code after `'abcd'`, effectively changing the logic and potentially revealing unintended data or bypassing authentication mechanisms[^1]. A crafted payload aiming at exploiting this vulnerability would look like: ```sql "' AND 1=2 UNION SELECT ... ``` This payload attempts to terminate the existing condition with `AND 1=2` ensuring it evaluates as false while introducing a new selection statement via `UNION`. This technique allows attackers to append their own select statements which may expose sensitive information depending on what columns are selected and tables involved. However, when dealing specifically with challenges designed around CTFs (Capture The Flag), there often exist constraints not present in real-world scenarios—such as limited table names or column counts—that must be considered during exploitation efforts. For instance, knowing whether certain keywords need encoding due to filters applied by developers before processing user-supplied parameters becomes essential knowledge for successfully completing these types of exercises. Moreover, regarding session-based functionalities mentioned elsewhere, altering another user’s records directly isn’t feasible since usernames derive from sessions rather than direct URL manipulations or form submissions[^2]. To mitigate risks associated with SQL injections across all applications including those found within competitive environments like CTF competitions, implementing robust validation checks alongside prepared statements significantly reduces attack surfaces[^3]: - Utilize parameterized queries instead of string concatenation. - Employ ORM frameworks whenever possible. - Regularly update dependencies and apply patches promptly.
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