CVE-2022-41828 is a high-severity vulnerability affecting versions of the Amazon AWS Redshift JDBC Driver prior to 2.1.0.8. The vulnerability arises because the Object Factory component within the driver does not properly validate the class type when instantiating an object from a provided class name. This lack of type checking can lead to unsafe deserialization or instantiation of arbitrary classes, potentially allowing an attacker to execute malicious code or perform unauthorized actions within the context of the JDBC driver. The vulnerability is categorized under CWE-704 (Incorrect Type Conversion or Cast), indicating that the root cause is a failure to enforce type safety during object creation. The CVSS 3.1 score of 8.8 (High) reflects the vulnerability's network attack vector (AV:N), low attack complexity (AC:L), no privileges required (PR:N), but requiring user interaction (UI:R). The impact on confidentiality, integrity, and availability is rated high (C:H/I:H/A:H), meaning exploitation could lead to full compromise of data confidentiality, integrity, and system availability. Although no known exploits are currently reported in the wild, the vulnerability poses a significant risk due to the widespread use of the Redshift JDBC driver for connecting applications to Amazon Redshift data warehouses. Attackers could craft malicious JDBC connection strings or payloads that trigger unsafe object instantiation, leading to remote code execution or other severe impacts. Since the vulnerability affects versions before 2.1.0.8, upgrading to version 2.1.0.8 or later is critical to mitigate the risk. The absence of a vendor project or product name in the provided data likely reflects the specificity of the component (the JDBC driver) rather than a broader product suite. The vulnerability was published on September 29, 2022, and is recognized by CISA as enriched intelligence, underscoring its importance.

For European organizations, the impact of CVE-2022-41828 can be substantial, especially for those relying on Amazon Redshift for data warehousing and analytics. Successful exploitation could lead to unauthorized access to sensitive data, data corruption, or disruption of critical data services. Given the high confidentiality, integrity, and availability impacts, organizations could face data breaches involving personal data protected under GDPR, leading to regulatory fines and reputational damage. Additionally, the ability to execute arbitrary code or manipulate data flows could disrupt business operations, affecting decision-making and service delivery. The requirement for user interaction (UI:R) implies that exploitation might involve tricking users into initiating a connection or executing a crafted query, which could be feasible in environments where developers or analysts interact with Redshift via JDBC. The vulnerability's network attack vector means that attackers can exploit it remotely, increasing the risk for cloud-hosted environments common in Europe. The lack of known exploits in the wild suggests that proactive mitigation is still possible before widespread attacks occur, but the high severity demands urgent attention.

1. Upgrade the Amazon Redshift JDBC Driver to version 2.1.0.8 or later immediately to ensure the vulnerability is patched. 2. Review and restrict JDBC connection strings and inputs to prevent injection of malicious class names or payloads. Implement strict input validation and sanitization on all parameters used in JDBC connections. 3. Limit user privileges and roles that can initiate JDBC connections to Redshift, minimizing the risk of exploitation via compromised or malicious users. 4. Monitor network traffic and logs for unusual JDBC connection attempts or anomalies that could indicate exploitation attempts. 5. Educate developers and analysts about the risks of executing untrusted queries or using unverified JDBC drivers. 6. Employ application-layer firewalls or proxy solutions that can inspect and filter JDBC traffic for suspicious patterns. 7. Implement multi-factor authentication and strong access controls on AWS accounts and Redshift clusters to reduce the attack surface. 8. Regularly audit and update all dependencies and drivers used in data infrastructure to avoid similar vulnerabilities.