VAITP Dataset

← Back to the dataset

CVE-2024-21520

XSS vulnerability in djangorestframework due to improper input sanitization.

  • CVSS 2.1
  • CWE-79
  • Input Validation and Sanitization
  • Remote

Versions of the package djangorestframework before 3.15.2 are vulnerable to Cross-site Scripting (XSS) via the break_long_headers template filter due to improper input sanitization before splitting and joining with <br> tags.

CVSS base score
2.1
Published
2024-06-26
OWASP
A03 Injection
Orthogonal defect classification
Checking
Code defect classification
Incorrect Check
Category
Input Validation and Sanitization
Subcategory
Cross-Site Scripting (XSS)
Accessibility scope
Remote
Impact
Information Disclosure
Affected component
djangorestfr
Fixed by upgrading
Yes

Solution

Upgrade to djangorestframework version 3.15.2 or later.

Vulnerable code sample

from django import template

register = template.Library()

@register.filter(is_safe=True)
def break_long_headers(value):
    return '<br>'.join(value.splitlines())

Patched code sample

from django.utils.html import escape
from django import template

register = template.Library()

@register.filter(is_safe=True)
def break_long_headers(value):
    escaped_value = escape(value)
    return '<br>'.join(escaped_value.splitlines())

Payload

<script>alert('XSS Vulnerability Exploited!');</script>

Cite this entry

@misc{vaitp:cve202421520,
  title        = {{XSS vulnerability in djangorestframework due to improper input sanitization.}},
  author       = {Bogaerts, Fr\'ed\'eric and Ivaki, Naghmeh and Fonseca, Jos\'e},
  year         = {2024},
  note         = {VAITP Python Vulnerability Dataset, entry CVE-2024-21520},
  howpublished = {\url{https://netpack.pt/vaitp/vulnerability/CVE-2024-21520/}}
}
Introducing the "VAITP dataset": a specialized repository of Python vulnerabilities and patches, meticulously compiled for the use of the security research community. As Python's prominence grows, understanding and addressing potential security vulnerabilities become crucial. Crafted by and for the cybersecurity community, this dataset offers a valuable resource for researchers, analysts, and developers to analyze and mitigate the security risks associated with Python. Through the comprehensive exploration of vulnerabilities and corresponding patches, the VAITP dataset fosters a safer and more resilient Python ecosystem, encouraging collaborative advancements in programming security.

The supreme art of war is to subdue the enemy without fighting.

Sun Tzu – “The Art of War”

:: Shaping the future through research and ingenuity ::