- Kali Linux Web Penetration Testing Cookbook
- Gilberto Nájera Gutiérrez
- 320字
- 2021-07-16 12:53:47
Watching the source code
Looking into a web page's source code allows us to understand some of the programming logic, detect the obvious vulnerabilities, and also have a reference when testing, as we will be able to compare the code before and after a test and use that comparison to modify our next attempt.
In this recipe, we will view the source code of an application and arrive at some conclusions from that.
Getting ready
For this recipe, start the vulnerable_vm.
How to do it...
- Browse to
http://192.168.56.102
. - Select the WackoPicko application.
- Right-click on the page and select View Page Source. A new window with the source code of the page will open:
With the source code we can discover the libraries or external files that the page is using and where the links go. Also, as can be seen in the preceding image, this page has some hidden input fields. The selected one is
MAX_FILE_SIZE
; this means that, when we are uploading a file, this field determines the maximum size allowed for the file we are uploading. So, if we alter this value, we might be able to upload a file bigger than what is expected by the application; this represents an important security issue.
How it works...
The source code of a web page can be very helpful in finding the vulnerabilities and analyzing the application's response to the input we provide. It also gives us an idea of how the application works internally and whether it uses any third-party library or framework.
Some applications also include input validation, codification, or cyphering functions made in JavaScript or any other script language. As this code is executed in the browser, we will be able to analyze it by viewing the page's source; once we look at a validation function, we can study it and find any security flaw that may allow us to bypass it or alter the result.
- Reporting with Visual Studio and Crystal Reports
- OpenCV實例精解
- Python進階編程:編寫更高效、優雅的Python代碼
- Python算法詳解
- PHP+Ajax+jQuery網站開發項目式教程
- ASP.NET求職寶典
- Learning Jakarta Struts 1.2: a concise and practical tutorial
- Python Social Media Analytics
- Android應用程序設計
- Spring Boot 3:入門與應用實戰
- 虛擬現實:引領未來的人機交互革命
- Neo4j權威指南 (圖數據庫技術叢書)
- Python程序員面試算法寶典
- Flask Web開發實戰:入門、進階與原理解析
- TensorFlow 2.0深度學習應用實踐