Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects potentially malicious activity within Oracle database audit and alert logs, specifically monitoring for the usage of packages like DBMS_SCHEDULER or UTL_FILE to execute OS commands or manipulate files. It also flags the execution of known exploit scripts or reconnaissance queries commonly associated with database-based attacks and unauthorized data dumping.
Detects the creation of an interactive shell (e.g., bash -i, Python pty, socat) on a Linux host that simultaneously initiates an outbound network connection to an RFC-1918 private IP address. This pattern is characteristic of attackers using reverse shells for command and control or internal network reconnaissance, specifically matching behaviors associated with the MYRA RAT shell-pty plugin.
Detects the deployment and execution of the MeshCentral remote management agent on PeopleSoft servers, which is indicative of unauthorized access by the ShinyHunters threat group. The rule triggers on the execution of the meshctrl.js script using the RunCommand function with suspicious loopback WebSocket connections, or the direct execution of the meshagent binary from within the /opt/meshcentral/ directory.
This rule monitors for unauthorized changes to sensitive system, authentication, and configuration files, as well as the deletion or truncation of logging artifacts on SD-WAN appliances. This activity is indicative of an adversary attempting to modify credentials, evade detection, or clear their footprint by tampering with security-critical paths.
Detects potential Remote Code Execution (RCE) in an AutoGen Studio environment by correlating an unexpected outbound network connection from the AutoGen process to an external endpoint, followed by the immediate spawning of a command interpreter (shell) child process containing common command-line interface indicators (e.g., whoami, curl, wget, encoded PowerShell).
Detects the use of AppArmor administrative and diagnostic tools (aa-exec, aa-status, apparmor_parser) with non-root accounts, or usage containing flags indicative of profile bypass attempts or privilege restriction probing.
Detects instances where the Amazon Q language server or VS Code extension host spawns suspicious child processes, such as shells, interpreters (python, bash, powershell), or utilities commonly used to query or extract AWS cloud credentials.
Detects attempts to modify or bypass AppArmor security profiles using utilities such as aa-complain, aa-disable, or apparmor_parser, correlated with process execution involving user namespace unsharing (e.g., via unshare or CLONE_NEWUSER/CLONE_NEWNET). This combination suggests an attacker attempting to weaken host security controls or perform a container breakout or privilege escalation by manipulating kernel-level namespaces and security policies.
Detects execution of exploit binaries associated with CVE-2026-46331 (pedit COW) or the abuse of legitimate 'tc' (traffic control) and 'unshare' utilities to perform page cache corruption and privilege escalation in user namespace contexts.
Detects the 'lambsys' malware terminating competing cryptocurrency miner processes (such as xmrig, kinsing, or watchdog) using process termination commands (pkill, kill, killall) from a non-root shell. The detection further correlates this activity with the launch of a new miner binary from temporary directories and subsequent outbound network connections to common mining pool ports.
Detects the Lambsys cryptominer malware performing SSH credential harvesting by accessing user SSH keys (known_hosts, authorized_keys, id_rsa) with unauthorized processes, staging these files in temporary or hidden directories, and subsequently initiating outbound SSH connections for lateral movement, all correlated by process group ID.
Detects persistence mechanisms used by the lambsys/procq cryptominer. It identifies two specific behaviors: 1) Correlation of non-root process execution (isp.sh, lambsys, procq) followed within 120 seconds by modifications to cron configuration files (e.g., /etc/cron.d/, /var/spool/cron/crontabs/) containing suspicious command-line patterns or mining pool references. 2) Direct detection of crontab -e invocations using heredoc redirection (<<) to install persistence payloads that match known miner dropper patterns and mining pool endpoints.
Detects attempts by a user or process to disable or modify Linux kernel-level mandatory access control mechanisms, specifically SELinux and AppArmor. Such actions are commonly performed by adversaries to reduce system security posture and facilitate further malicious activity by bypassing enforced containment policies.
Detects activity associated with the BRICKSTORM threat actor, including known malicious ELF binary execution, unauthorized file path utilization, and suspicious DNS-over-HTTPS (DoH) network traffic directed to public DNS resolvers.
Detects persistence attempts on Linux edge appliances by monitoring for suspicious modifications to cron job directories, system initialization scripts (RC init), and the execution of specific binaries associated with common persistence mechanisms.
Detects indicators of the IronWorm malware performing self-propagation by abusing npm Trusted Publishing (OIDC) token exchange, executing suspicious npm publish commands, and unauthorized access to ~/.npmrc configuration files. The rule monitors for network requests to npm OIDC endpoints from non-standard processes, npm publish operations originating from non-interactive shell or script environments, and file access to credential files by suspicious parent processes.
Detects persistence and execution behaviors associated with the MYRA Linux RAT. The rule monitors for the installation of a malicious library (.libcache.so) via shell profile modifications, and subsequent execution attempts where a process masquerades as 'systemd-userdbd' while utilizing 'LD_PRELOAD' and fileless execution techniques (memfd_create/fexecve).
This rule detects the presence of components associated with the MYRA rootkit, including specific filenames ('libcache.so', 'memfd_loader') and references to the 'apintergrationpost' npm package or the author 'kimijohn01'. It monitors process command lines, file events, and syslog messages for these indicators.
This rule detects attempts to authenticate to SSH using GSSAPI (Generic Security Service Application Programming Interface). While GSSAPI can be used for legitimate authentication, its presence in logs might indicate an attacker attempting to use alternative authentication methods, potentially for lateral movement or privilege escalation, especially if unexpected in the environment.
This rule detects successful SSH authentications using the GSSAPI-with-MIC mechanism. This can indicate legitimate user logins or, in some cases, an adversary using valid credentials to access a system via SSH.
This rule detects potentially malicious activity involving the Linux 'uptime' utility, including abnormal network connections to non-private IP addresses, execution with command-line flags often associated with non-standard utility behavior, and the creation of systemd service files, which may indicate a persistence mechanism.
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