PostgreSQL History Exposure Scanner

PostgreSQL is a powerful, open-source object-relational database system. It is used widely by developers and businesses for managing large datasets and complex queries. The software supports numerous data types, indexing, and also provides full transactional features like ACID compliance. PostgreSQL is often employed in scenarios that require robust data integrity and concurrent access control. It is favored for mission-critical applications and flexible deployment options, ranging from cloud-based solutions to enterprise data centers. Users of PostgreSQL value its extensibility and adherence to SQL standards.

This scanner is designed to detect the exposure of PostgreSQL history files. These files are crucial as they store a record of executed SQL commands, which may contain sensitive information. If such exposure occurs, critical data like passwords and database schemas may be at risk. The vulnerability typically results from improper server configuration, allowing unauthorized access to .psql_history files. Identifying this exposure enables administrators to rectify security loopholes effectively. Ensuring the privacy of these history files is vital to protecting the integrity of database transactions.

The vulnerability centers on exposed PostgreSQL history files which may be accessed through specific URL paths. These files can contain vital command histories, such as SQL queries used in database management. Access points often include URLs such as '/.psql_history' or '/psql_history'. The vulnerability is detected by identifying specific SQL command patterns within the response body of an HTTP GET request. This vulnerability may surface in misconfigured systems where history files are inadvertently accessible. Detection methods focus on recognizing common SQL command syntax in public-facing directories.

If malicious actors exploit this exposure, they could gain insights into database structures and operations. This could potentially lead to unauthorized data extraction or manipulation. Sensitive information, like user credentials and critical schema details, may be leaked as a result. System configuration and security policies may be bypassed, posing risks to data confidentiality, integrity, and availability. Potential implications include data breaches, compliance violations, and reputational damage

REFERENCES

• https://www.postgresql.org/docs/current/app-psql.html#APP-PSQL-FILES