CVE-2024-50650 identifies an incorrect access control vulnerability in python_book V1.0, which allows unauthorized disclosure of sensitive user information. The vulnerability arises because the application fails to properly validate or enforce access restrictions on the ID parameter used to retrieve user data. By manipulating this parameter, an attacker can access data belonging to other users without authentication or any required privileges. The CVSS 3.1 base score is 7.5, reflecting high severity due to the vulnerability's ability to compromise confidentiality remotely with low complexity and no user interaction. The flaw is categorized under CWE-863 (Incorrect Authorization). Although no patches or known exploits are currently available, the vulnerability poses a significant risk to any deployment of python_book V1.0 that handles sensitive user information. The lack of authentication or privilege requirements makes exploitation straightforward, potentially exposing personal or confidential data across user accounts. Organizations relying on this software must urgently assess their exposure and implement compensating controls until an official patch is released.

The primary impact of CVE-2024-50650 is the unauthorized disclosure of sensitive user information, which compromises confidentiality. This can lead to privacy violations, regulatory non-compliance (e.g., GDPR, HIPAA), reputational damage, and potential financial losses due to data breaches. Since the vulnerability does not affect integrity or availability, data modification or service disruption is not a concern. However, the ease of exploitation without authentication or user interaction increases the risk of widespread data exposure. Organizations with large user bases or sensitive data stored in python_book V1.0 are particularly vulnerable. Attackers could leverage this flaw to harvest personal data, conduct identity theft, or facilitate further attacks by gathering intelligence on users.

To mitigate CVE-2024-50650, organizations should immediately audit access control mechanisms related to user ID parameters in python_book V1.0. Implement strict server-side validation to ensure users can only access their own data. Employ parameterized queries and avoid direct user input in access control decisions. Use authentication and authorization checks on all endpoints handling sensitive information. Monitor logs for unusual access patterns or repeated ID parameter manipulation attempts. If possible, restrict network access to the application to trusted users or internal networks until a patch is available. Engage with the vendor or development team to obtain or expedite a security patch. Additionally, consider deploying Web Application Firewalls (WAFs) with custom rules to detect and block suspicious parameter tampering.