According to new findings from OX Security, coding with the help of AI can make you vulnerable to hacking and can involve various security concerns. OpenAI has funded an AI coding platform called Cursor which is making coding easier for many beginners as well as expert developers but these platforms can also create vulnerabilities in your codes. Many developers, especially beginners, unintentionally leave insecure codes in their apps and web applications which can increase the risk of cyberattacks. As AI doesn't fully understand how to make coding secure, it can lead to issues like injection flaws, insecure authentication, and improper access control.
Now the question is how is AI writing vulnerable codes and the first issue that arose with Cursor generating a vulnerable code that compromised the security. A security researcher at OX Security, Tomer Katzir Katz, wanted to test whether Cursor could identify and prevent any vulnerabilities in coding that could be dangerous. So he gave Cursor a task to generate a Python server with known vulnerability and the results proved that Cursor failed to not only secure the code but also produced a dangerous code as well. It created a reflected XSS (cross-site scripting) vulnerability without sanitizing it and this could open the doors for hackers to inject their malicious scripts to deface the site or steal sensitive user data.
Then Cursor was asked to create a minimalistic payment API and it again failed in terms of security. There were serious flaws in the code generated by Cursor like no input validation, no encryption, and no authentication checks. This could prove to be extremely dangerous for beginners or developers who generate codes in a rush and this could lead to data breaches and injection attacks because there is no proper security measure in these codes. When Cursor was asked to ignore security best practices to create an upload and hosting server, Cursor easily made the code for it without any hesitation. Even though it gave the warning that ignoring security warnings is not recommended, it still proceeded with the request and generated an unprotected file upload server. When Katz uploaded a malicious PHP reverse shell, the AI-generated server didn't put up any defenses and Katz could immediately gain full access to the server.
The researchers gave another test to Cursor and asked it to create a very simple wiki server without mentioning anything related to security. Cursor generated exactly what was asked but there were still no basic security measures and the wiki server could store user-submitted content without any sanitization and the system was left vulnerable to XSS attacks. The final test was done to see how Cursor handled open-source-licensed and copyrighted material. Cursor was given a snippet and description from the Chess project and was asked to rewrite or improve it. The Cursor generated almost the original code with only some slight modifications and didn't mention the original author or license. This just means that Cursor users should be cautious and shouldn't blindly trust AI-generated content entirely and should quality-test the AI-generated code so any vulnerabilities couldn't be missed.
Image: Anthony Riera / Unsplash
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Now the question is how is AI writing vulnerable codes and the first issue that arose with Cursor generating a vulnerable code that compromised the security. A security researcher at OX Security, Tomer Katzir Katz, wanted to test whether Cursor could identify and prevent any vulnerabilities in coding that could be dangerous. So he gave Cursor a task to generate a Python server with known vulnerability and the results proved that Cursor failed to not only secure the code but also produced a dangerous code as well. It created a reflected XSS (cross-site scripting) vulnerability without sanitizing it and this could open the doors for hackers to inject their malicious scripts to deface the site or steal sensitive user data.
Then Cursor was asked to create a minimalistic payment API and it again failed in terms of security. There were serious flaws in the code generated by Cursor like no input validation, no encryption, and no authentication checks. This could prove to be extremely dangerous for beginners or developers who generate codes in a rush and this could lead to data breaches and injection attacks because there is no proper security measure in these codes. When Cursor was asked to ignore security best practices to create an upload and hosting server, Cursor easily made the code for it without any hesitation. Even though it gave the warning that ignoring security warnings is not recommended, it still proceeded with the request and generated an unprotected file upload server. When Katz uploaded a malicious PHP reverse shell, the AI-generated server didn't put up any defenses and Katz could immediately gain full access to the server.
The researchers gave another test to Cursor and asked it to create a very simple wiki server without mentioning anything related to security. Cursor generated exactly what was asked but there were still no basic security measures and the wiki server could store user-submitted content without any sanitization and the system was left vulnerable to XSS attacks. The final test was done to see how Cursor handled open-source-licensed and copyrighted material. Cursor was given a snippet and description from the Chess project and was asked to rewrite or improve it. The Cursor generated almost the original code with only some slight modifications and didn't mention the original author or license. This just means that Cursor users should be cautious and shouldn't blindly trust AI-generated content entirely and should quality-test the AI-generated code so any vulnerabilities couldn't be missed.
Read next:
• Study Finds Public Can Detect AI Content Easily, But Acceptance Depends on Context and Purpose
• The Smartest CEOs in 2025: What It Takes to Be on Top
