Multiple Vulnerabilities in PostgreSQL Allow for Remote Code Execution, Denial of Service, and Information Disclosure

A threat actor could exploit multiple vulnerabilities in PostgreSQL to achieve a range of malicious outcomes. These include the ability to execute arbitrary code on the system, conduct a denial of service (DoS) attack rendering the database unavailable, disclose sensitive information stored within the database, manipulate files on the underlying system, conduct SQL injection attacks to modify or extract data, and bypass existing security measures designed to protect the database. The source did not provide specific CVEs, timestamps, or exploited product versions. This lack of specificity makes remediation challenging.

Attack Chain

1. The attacker identifies a vulnerable PostgreSQL instance, potentially through reconnaissance and vulnerability scanning.
2. The attacker crafts a malicious SQL query designed to exploit a SQL injection vulnerability (T1202). This may involve injecting code into stored procedures or user-defined functions.
3. The attacker executes the malicious SQL query against the PostgreSQL database.
4. If successful, the SQL injection vulnerability allows the attacker to bypass authentication or authorization controls.
5. The attacker leverages the ability to execute arbitrary code to install a webshell or backdoor on the server (T1505.003).
6. The attacker utilizes the webshell to maintain persistent access to the system (T1505).
7. The attacker may manipulate files on the server, potentially modifying configuration files or data files to further their objectives.
8. Finally, the attacker exfiltrates sensitive data or causes a denial-of-service condition, impacting the availability of the database and dependent applications.

Impact

Successful exploitation of these vulnerabilities could lead to a compromise of the confidentiality, integrity, and availability of PostgreSQL databases. This could result in data breaches, financial losses, reputational damage, and disruption of critical services. While the advisory does not specify the number of victims or sectors targeted, any organization relying on PostgreSQL databases is potentially at risk.

Recommendation

• Deploy the Sigma rules in this brief to your SIEM and tune for your environment.
• Monitor PostgreSQL logs for suspicious SQL queries that may indicate SQL injection attempts, as detected by the rule “Detect Suspicious SQL Injection Attempts in PostgreSQL Logs”.
• Investigate any unauthorized file modifications on systems running PostgreSQL, as detected by the rule “Detect Unauthorized File Modifications in PostgreSQL Data Directories”.