Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects the initialization of PostgreSQL logical replication slots using uncommon or unrecognized output plugins. Attackers may leverage logical replication plugins to exfiltrate data from a database by streaming changes as they occur, which can be an alternative to traditional mass-export techniques.
This rule monitors the software inventory for outdated versions of the PostgreSQL database server. It identifies installations where the major and minor versions are below the threshold for current security releases (e.g., v18 < 6, v17 < 11, v16 < 15, v15 < 19, v14 < 24). Running outdated software increases the risk of exploitation of known vulnerabilities.
Detects the execution of psql.exe to query the Veeam Backup & Replication PostgreSQL database for stored credentials. This pattern is associated with credential theft techniques utilized during ransomware operations (e.g., Bumblebee, Akira) where sensitive configuration or credential data is retrieved and potentially later decrypted via DPAPI.
Detects potential exploitation of PostgreSQL via logical decoding plugins, specifically targeting CVE-2026-6471. The rule monitors for the PostgreSQL server process spawning suspicious shell utilities or loading modules from locations outside of the expected PostgreSQL library or plugin directories, which is a common indicator of unauthorized code execution.
This rule monitors the software inventory for outdated versions of the PostgreSQL database server. It identifies installations where the major and minor versions are below the threshold for current security releases (e.g., v18 < 6, v17 < 11, v16 < 15, v15 < 19, v14 < 24). Running outdated software increases the risk of exploitation of known vulnerabilities.
This rule monitors the software inventory for outdated versions of the PostgreSQL database server. It identifies installations where the major and minor versions are below the threshold for current security releases (e.g., v18 < 6, v17 < 11, v16 < 15, v15 < 19, v14 < 24). Running outdated software increases the risk of exploitation of known vulnerabilities.
This rule detects potentially malicious modifications to PostgreSQL configuration files or the creation of new library files (.so or .dll) by the PostgreSQL service process. It also flags when the PostgreSQL service process is initiated with command-line arguments referencing 'shared_preload_libraries', which can be abused to load arbitrary code or malicious extensions into the database engine.
This rule detects modifications to the PostgreSQL authentication configuration file (pg_hba.conf), which controls client authentication. It also identifies replication connection requests from source IP addresses that have not been observed in the previous 7 days, indicating a potential attempt to exfiltrate database data via unauthorized replication.
This rule detects the suspicious execution of the psql.exe command-line client interacting with the Veeam Backup database. It specifically monitors for attempts to query database tables containing sensitive user_name and password information, often correlated with WMI or encoded PowerShell execution, which suggests an attempt to extract credentials from backup software.
This rule detects potentially malicious database manipulation by monitoring process execution command lines for commands that drop critical databases or toggle foreign key checks. It flags instances where multiple drop database commands occur or foreign key constraint toggling is detected, which is often indicative of automated data destruction or ransomware activity within database environments.
This rule monitors for the execution of the 'pg_dump' utility by Python-based applications (like Langflow), followed by the deletion of a file on the same host within 60 minutes. This behavior may indicate an adversary staging data, dumping a database, and then attempting to remove evidence of the activity.
Detects command-line execution of database drop operations combined with the disabling of foreign key constraints, which is indicative of malicious database manipulation or automated data destruction attempts.
Detects instances where the 'pg_dump' database utility is executed, followed by the deletion of a file within a one-hour window by the same agent. This behavior is indicative of an attacker extracting sensitive database contents and subsequently attempting to remove evidence of the dump or staging files.
Detects the use of the PostgreSQL client utility (psql.exe) to query the 'VeeamBackup' database, a technique observed in Akira ransomware intrusions to extract sensitive credentials directly from the backup server's configuration.
Detects post-exploitation activities related to the PHP 8.5.7 CVE-2025-15661 StreamBucket SOAP vulnerability. This rule monitors for PHP worker processes spawning shells, writing executable files to suspicious directories, executing system binaries on Windows, or initiating outbound network connections on non-standard ports, including specific proof-of-concept markers.
Detects the execution of psql.exe with arguments pointing to a VeeamBackup database, or suspicious database queries containing 'credentials' or 'SELECT' statements. The rule specifically alerts when this behavior is initiated by PowerShell or WMI processes, which are common indicators of automated post-exploitation activities intended to extract sensitive information from the backup infrastructure.
Detects execution of psql.exe with command line arguments containing 'VeeamBackup' and 'credentials', which may indicate an attempt to access or extract credentials from a PostgreSQL database associated with Veeam Backup software.
Detects unauthorized attempts to access or interact with the Veeam Backup database, including psql.exe direct queries, PowerShell scripts attempting to decrypt credentials using DPAPI, and encoded PowerShell commands launched from cmd.exe that target the Veeam environment.
Detects anomalous process execution patterns where a database process (postgres or postmaster) or a common system utility (nc, python, bash) is observed initiating unauthorized network connections to a known external C2 IP or accessing sensitive cryptographic files (e.g., server.key). This behavior is indicative of potential post-exploitation activity, specifically the exfiltration of credentials or sensitive data via database-level command execution (sys_eval) or direct file manipulation.
Detects high-volume SQL UPDATE operations indicating data manipulation attack
Detects high-volume database record modifications
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