Detections

Explore public detection logic contributed by the community across SIEM and rule languages.

1,052 detections

This rule detects potential SSH brute force attacks by identifying multiple failed password attempts from a single source IP address to a specific computer within a 5-minute window. It specifically looks for 'Failed password' messages in syslog entries from the 'sshd' process.
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Ankit Mehta@Secvyn
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Detections.ai Community
8 months ago
2073
Detects multiple failed SSH login attempts from a single source IP address, indicating a potential brute force attack. The rule identifies 'Invalid user' or 'Failed password' messages in syslog from the 'sshd' process and groups them by source IP and time to count unique attempted users and total attempts. A threshold of more than 5 attempted users from a single source IP within a 10-minute window triggers an alert.
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Ankit Mehta@Secvyn
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Detections.ai Community
8 months ago
1061
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.
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Ankit Mehta@Secvyn
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Detections.ai Community
8 months ago
2055
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.
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Ankit Mehta@Secvyn
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Detections.ai Community
8 months ago
1041
Detects VNC-based lateral movement activities. Looking for the initial install
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Danny Y@zendannyy
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Detections.ai Community
8 months ago
0037
Detects the modification of the .profile file to establish persistence, a technique used by the ClipXDaemon malware. The rule looks for a command that appends the execution of a file from the `~/.local/bin` directory to the `.profile` file.
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Elgonad .@elgonad
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Detections.ai Community
8 months ago
1044
Detects attempts to disable or stop syslog services (syslog, rsyslog, syslog-ng) using common system utilities like systemctl, service, chkconfig, or update-rc.d. This activity could indicate an adversary attempting to impair defenses by preventing logging of their actions.
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Benjamin Zulliger@benscha
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Detections.ai Community
8 months ago
100111
Detects an adversary stopping or killing the syslog daemon (syslog,
rsyslog, or syslog-ng), which is responsible for forwarding system
events to /var/log and to SIEM collectors.

Stopping the syslog daemon is distinct from clearing existing logs --
it cuts the live telemetry pipeline at the source. Any activity
occurring after the daemon is stopped produces no log records
whatsoever, creating a blind spot.
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Danny Y@zendannyy
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Detections.ai Community
9 months ago
0040
Detects methods used by adversaries to clear or disable Linux shell command history (bash or zsh) in order to cover tracks and evade investigation.
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Danny Y@zendannyy
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Detections.ai Community
9 months ago
1029
Detects exploitation of CVE-2026-25157 where the OpenClaw AI agent is manipulated to execute arbitrary commands via a malicious SSH target string. The vulnerability allows an attacker to inject command-line options like '-oProxyCommand' into the SSH client, leading to local command execution.
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Ethan Andrews@eandrews
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Federal Signal Detections
9 months ago
150156
Detects the use of GDB (GNU Debugger) to dump the memory of a running process. This technique is used by frameworks like ShadowHS to extract credentials and other secrets from live processes without writing traditional credential dumping tools to disk.
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Tim Peck@timpeck
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Detections.ai Community
9 months ago
3052
Detects attempts to modify Pluggable Authentication Modules (PAM) configuration files. Attackers may modify PAM configurations to bypass authentication, such as by adding `pam_permit.so` or changing module control flags from `required` to `sufficient` or `optional`.
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yasser djehaf@cifer
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Detections.ai Community
9 months ago
1042
Detects usage of "getcap" binary. This is often used during recon activity to determine potential binaries that can be abused as GTFOBins or other.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
9 months ago
000
Detects enumeration of local system accounts. This information can help adversaries determine which local accounts exist on a system to aid in follow-on behavior.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
10 months ago
301
Detects listing of the inodes of the "/" directory to determine if the we are running inside of a container.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
11 months ago
000
Detects suspicious command sequence that JexBoss
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
11 months ago
000
Detects specific commands commonly used to remove or empty the syslog, a technique often used by attackers to hide their tracks. This rule identifies the use of utilities like 'rm', 'unlink', 'mv', 'truncate', 'ln', 'cp', 'shred', and 'journalctl' when their command lines target '/var/log/syslog' or perform actions that would clear syslog content.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
1 year ago
5155
Detects the creation of a new user account with privileged User ID (UID) or Group ID (GID) on Linux systems, specifically targeting root (UID=0, GID=0), wheel (GID=10), or sudo (GID=27) groups. This rule monitors logs for `useradd` events indicating the creation of users with these elevated privileges.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
1 year ago
1052
Detects the execution of a shell command characteristic of APT36's use of malicious .desktop files on Linux. The command typically involves using 'curl' to download a hex-encoded payload and 'chmod' to make it executable, often within the a tmp directory.
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Tim Peck@timpeck
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Detections.ai Community
1 year ago
41121
Detects attempts to exploit the sudo vulnerability CVE-2019-14287, which allows a user to run commands as root by specifying a user ID of -1 or 4294967295 (NO_UID_T) with the '-u' option, bypassing the sudoers policy.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
1 year ago
2029
The following analytic detects the use of default or publicly known named pipes associated with Cobalt Strike. It leverages Sysmon EventID 17 and 18 to identify specific named pipes commonly used by Cobalt Strike's Artifact Kit and Malleable C2 Profiles. This activity is significant because Cobalt Strike is a popular tool for adversaries to conduct post-exploitation tasks, and identifying its named pipes can reveal potential malicious activity. If confirmed malicious, this could indicate an active Cobalt Strike beacon, leading to unauthorized access, data exfiltration, or further lateral movement within the network.
Splunk Security@SplunkSecurity
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Splunk Security Content
1 year ago
100247
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