CVE-2025-57203
MagicProject AI Cross-Site Scripting (XSS) Vulnerability
Description
MagicProject AI version 9.1 is affected by a Cross-Site Scripting (XSS) vulnerability within the chatbot generation feature available to authenticated admin users. The vulnerability resides in the prompt parameter submitted to the /dashboard/user/generator/generate-stream endpoint via a multipart/form-data POST request. Due to insufficient input sanitization, attackers can inject HTML-based JavaScript payloads. This payload is stored and rendered unsanitized in subsequent views, leading to execution in other users' browsers when they access affected content. This issue allows an authenticated attacker to execute arbitrary JavaScript in the context of another user, potentially leading to session hijacking, privilege escalation, data exfiltration, or administrative account takeover. The application does not implement a Content Security Policy (CSP) or adequate input filtering to prevent such attacks. A fix should include proper sanitization, output encoding, and strong CSP enforcement to mitigate exploitation.
INFO
Published Date :
Sept. 22, 2025, 8:15 p.m.
Last Modified :
Sept. 22, 2025, 9:22 p.m.
Remotely Exploit :
No
Source :
[email protected]
Affected Products
The following products are affected by CVE-2025-57203
vulnerability.
Even if cvefeed.io is aware of the exact versions of the
products
that
are
affected, the information is not represented in the table below.
No affected product recoded yet
Solution
- Sanitize all user-submitted input.
- Encode data before rendering in views.
- Implement a strong Content Security Policy.
- Update the application to the latest version.
References to Advisories, Solutions, and Tools
Here, you will find a curated list of external links that provide in-depth
information, practical solutions, and valuable tools related to
CVE-2025-57203.
| URL | Resource |
|---|---|
| https://codecanyon.net/item/magicai-openai-content-text-image-chat-code-generator-as-saas/45408109 |
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2025-57203 is
associated with the following CWEs:
Common Attack Pattern Enumeration and Classification (CAPEC)
Common Attack Pattern Enumeration and Classification
(CAPEC)
stores attack patterns, which are descriptions of the common attributes and
approaches employed by adversaries to exploit the CVE-2025-57203
weaknesses.
We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2025-57203 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2025-57203 vulnerability over time.
Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.
-
New CVE Received by [email protected]
Sep. 22, 2025
Action Type Old Value New Value Added Description MagicProject AI version 9.1 is affected by a Cross-Site Scripting (XSS) vulnerability within the chatbot generation feature available to authenticated admin users. The vulnerability resides in the prompt parameter submitted to the /dashboard/user/generator/generate-stream endpoint via a multipart/form-data POST request. Due to insufficient input sanitization, attackers can inject HTML-based JavaScript payloads. This payload is stored and rendered unsanitized in subsequent views, leading to execution in other users' browsers when they access affected content. This issue allows an authenticated attacker to execute arbitrary JavaScript in the context of another user, potentially leading to session hijacking, privilege escalation, data exfiltration, or administrative account takeover. The application does not implement a Content Security Policy (CSP) or adequate input filtering to prevent such attacks. A fix should include proper sanitization, output encoding, and strong CSP enforcement to mitigate exploitation. Added Reference https://codecanyon.net/item/magicai-openai-content-text-image-chat-code-generator-as-saas/45408109