SQL Firewall is a security solution that provides protection against SQL injection attacks by filtering and blocking potentially harmful SQL statements. In PostgreSQL, the pgBouncer connection pooler can be used as an SQL Firewall.
To protect your PostgreSQL databases from cyberattacks with SQL Firewall, you can follow these steps:
Install and configure pgBouncer as an SQL Firewall:
Install pgBouncer on a separate server from the PostgreSQL database server.Configure pgBouncer to act as a connection pooler for your PostgreSQL database.Enable query logging in pgBouncer to monitor and analyze SQL statements.
Create SQL Firewall rules to block potentially harmful SQL statements:
Define rules that specify which SQL statements are allowed and which ones are blocked.Use regular expressions to define patterns of SQL statements that are blocked.Configure pgBouncer to apply the SQL Firewall rules to incoming SQL statements.
Monitor and analyze SQL traffic to detect and prevent cyberattacks:
Use pgBouncer’s query logging to monitor and analyze SQL traffic.Set up alerts to notify you of suspicious SQL traffic, such as repeated failed login attempts.Use statistical analysis and machine learning to detect anomalies and identify potential attacks.
Here is a summary of the pg_stat_activity view in PostgreSQL, which can be used to monitor database activity and troubleshoot performance issues:
Column name
Description
datid
OID of the database being accessed
datname
Name of the database being accessed
pid
Process ID of the backend process handling the connection
usesysid
OID of the user logged into the database
usename
Name of the user logged into the database
application_name
Name of the application connected to the database
client_addr
IP address of the client connected to the database
client_hostname
Hostname of the client connected to the database
client_port
Port number of the client connected to the database
backend_start
Timestamp of when the backend process handling the connection was started
xact_start
Timestamp of when the current transaction started
query_start
Timestamp of when the current query started
state_change
Timestamp of when the current state of the query was last changed
waiting
Flag indicating whether the process is waiting for a lock or other resource
state
Current state of the query or transaction
query
Text of the currently executing command, if any
backend_type
Type of backend process handling the connection
query_duration
Duration of the current query or transaction, if available
lock_type
Type of lock held by the process, if any
relation
OID of the relation being accessed, if any
grantor
OID of the user granting a lock or privilege, if any
grantee
OID of the user granted a lock or privilege, if any
Open Source Database Systems Engineer with a deep understanding of Optimizer Internals, Performance Engineering, Scalability and Data SRE. Shiv currently is the Founder, Investor, Board Member and CEO of multiple Database Systems Infrastructure Operations companies in the Transaction Processing Computing and ColumnStores ecosystem. He is also a frequent speaker in open source software conferences globally.