assafelovic gpt-researcher Report API app.py クロスサイトスクリプティング

Successful exploitation of CVE-2026-5630 allows an attacker to inject arbitrary JavaScript code into the gpt-researcher application. This could lead to a variety of malicious outcomes, including session hijacking, defacement of the application's user interface, and redirection to phishing sites. The attacker could potentially steal sensitive user data, such as API keys or authentication tokens, if the application handles such information. Given the remote nature of the vulnerability and the availability of a public exploit, the risk of exploitation is significant. The impact is amplified if the gpt-researcher application is exposed to the public internet or integrated with other systems.

Organizations and individuals using gpt-researcher versions 3.4.0 through 3.4.3, particularly those exposing the Report API to external users or systems, are at risk. Those relying on gpt-researcher for sensitive data processing or integration with critical infrastructure are especially vulnerable.

• python / server: Examine the backend/server/app.py file for unsanitized user input. Use a code analysis tool to identify potential XSS vulnerabilities.

# Example: Check for user input in the Report API endpoint
import re
user_input = request.args.get('report_data')
if user_input:
  if not re.match(r'^[a-zA-Z0-9]+$', user_input):
    # Reject input if it contains non-alphanumeric characters
    return 'Invalid input'

• generic web: Monitor access logs for requests containing suspicious JavaScript code in the report_data parameter. Look for unusual URL encoded characters. • generic web: Check response headers for signs of XSS, such as the presence of injected JavaScript code in the HTML content.

1. 2026-04-06Disclosure

   disclosure

1. 予約済み2026-04-05
2. 公開日2026-04-06
3. EPSS 更新日2026-04-13

The primary mitigation for CVE-2026-5630 is to upgrade to a patched version of gpt-researcher. As of this writing, no patched version has been released. Until a patch is available, consider implementing input validation and sanitization on the Report API endpoint to prevent the injection of malicious scripts. Web application firewalls (WAFs) configured to detect and block XSS payloads can provide an additional layer of defense. Monitor application logs for suspicious activity, such as unusual JavaScript execution patterns. Since no patch is available, careful review of the backend/server/app.py file for potential vulnerabilities is recommended.