Here is a combined list of vulnerabilities, based on the provided information.
This list consolidates the vulnerabilities identified in the provided assessments. It focuses on vulnerabilities that are relevant to the security of a deployed application using the django-tailwind
project.
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Description: The example project provided with
django-tailwind
uses insecure default Django settings in itssettings.py
file. These settings are intended for local development only and are not suitable for production deployments. An attacker exploiting a publicly accessible instance running with these default settings can trigger this vulnerability through the following steps:- The
DEBUG
setting is set toTrue
. This configuration causes Django to display detailed error pages, including full tracebacks, whenever an error occurs. ALLOWED_HOSTS
is configured to["*"]
. This setting allows the application to be accessed from any host, effectively disabling host header validation.- A weak, hard-coded
SECRET_KEY
is used directly in the settings file, making it easily discoverable if the settings file is exposed.
By intentionally causing an error on the application (e.g., requesting a non-existent URL or triggering a server-side exception), an attacker can view detailed error pages. These pages reveal sensitive information such as internal file paths, environment configurations, and potentially the
SECRET_KEY
itself, which can be used to facilitate further malicious activities. - The
-
Impact:
- Information Disclosure: Sensitive information, including internal server paths, environment variables, configuration details, and potentially the
SECRET_KEY
, can be exposed through detailed error pages. - Facilitated Exploitation: The exposed debug information aids attackers in understanding the application's internal structure and configuration, making it easier to plan and execute more targeted attacks.
- Misuse of Insecure Defaults: The overly permissive
ALLOWED_HOSTS
setting and enabled debug mode in a production-like environment broadens the attack surface and increases the risk of exploitation.
- Information Disclosure: Sensitive information, including internal server paths, environment variables, configuration details, and potentially the
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Vulnerability Rank: High
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Currently Implemented Mitigations:
- The project's documentation and build processes (like
python manage.py tailwind build
) imply that users are expected to configure production-ready settings for deployment. - The insecure settings are confined to the example project and are not part of the core
django-tailwind
library itself.
- The project's documentation and build processes (like
-
Missing Mitigations:
- There are no explicit safeguards within the
django-tailwind
project to prevent developers from deploying applications withDEBUG = True
in production environments. - No mechanism is in place to enforce the generation or use of a strong, randomly generated
SECRET_KEY
outside of the typical Django project setup guidance. - The example settings do not demonstrate or recommend restricting
ALLOWED_HOSTS
to specific domains, which is a crucial security practice for production deployments.
- There are no explicit safeguards within the
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Preconditions:
- The application must be deployed in a publicly accessible environment.
- The deployment must be using the example project's default settings (specifically
/code/example/project/settings.py
) without modifications to secure them for production. - The insecure settings must include
DEBUG=True
,ALLOWED_HOSTS = ["*"]
, and the hard-coded weakSECRET_KEY
.
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Source Code Analysis:
-
Examining
/code/example/project/settings.py
reveals the following insecure configurations:SECRET_KEY = "7c@h1io9=5@8m%fqlyvnx&!x0zm556-g@+dpvu4ab+tsjkm@vm" # Insecure hardcoded key DEBUG = True # Debug mode enabled ALLOWED_HOSTS = ["*"] # All hosts allowed
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These settings are intended for a local development environment for demonstration purposes. However, if a developer mistakenly deploys the example project directly to a production environment, or fails to properly configure a separate production settings file, these insecure defaults will be active on the live application. This directly exposes sensitive debug information and weakens the application's security posture.
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Security Test Case:
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Deployment Setup:
- Deploy a Django application using the provided example project configuration from
django-tailwind
(ensure/code/example/project/settings.py
is used without security modifications). - Verify that the deployed instance is accessible over the public internet.
- Deploy a Django application using the provided example project configuration from
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Triggering an Error:
- In a web browser, attempt to access a URL that is designed to cause a "Page Not Found" error (e.g., visit a non-existent path like
/nonexistent-page/
). Alternatively, trigger a known server-side error by interacting with the application in a way that causes an exception.
- In a web browser, attempt to access a URL that is designed to cause a "Page Not Found" error (e.g., visit a non-existent path like
-
Verifying Detailed Debug Information:
- Inspect the error page returned by the application. If
DEBUG
is set toTrue
in the settings, the error page will display a detailed traceback. This traceback will likely contain:- Full paths to files on the server.
- Snippets of code from the application.
- Values of Django settings, including the
SECRET_KEY
. - Potentially other sensitive environment details.
- Inspect the error page returned by the application. If
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Host Verification:
- Use browser developer tools or network utilities (like
curl
) to confirm that the application responds to requests regardless of theHost
header. This confirms thatALLOWED_HOSTS = ["*"]
is active and not restricting access based on the host.
- Use browser developer tools or network utilities (like
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Conclusion:
- If the detailed debug information (including tracebacks and settings) is visible in the error page, and the application is accessible from any host, then the vulnerability stemming from insecure default settings is confirmed. This demonstrates that an attacker could gain sensitive information by simply triggering errors on a publicly deployed instance using the example project's default configuration.
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