Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
460 detections
Filters
Last updated
All Time
Detection languages
143
106
71
62
54
Contributors
166
120
68
47
15
Categories
215
214
77
73
63
Platforms
341
222
216
18
14
Products / Services
10,670
9,758
6,693
4,421
3,749
460
MITRE Techniques
145
117
82
74
64
CVEs
6
5
5
5
5
The following analytic detects execution of the socat utility with a remote TCP or OpenSSL connection and local terminal echo disabled.
This configuration may be used for interactive terminal sessions, password handling, automation, or network debugging.
When observed in an unexpected context, such as execution by an unusual parent process or connection to an untrusted endpoint, it may indicate suspicious remote access activity.
This configuration may be used for interactive terminal sessions, password handling, automation, or network debugging.
When observed in an unexpected context, such as execution by an unusual parent process or connection to an untrusted endpoint, it may indicate suspicious remote access activity.
Detects DragonForce ransomware note (readme.txt) referencing known DragonForce Tor negotiation/blog onion addresses
This rule detects activities associated with the 'clean.sh' script often used by cryptocurrency miners to remove competing miner processes, terminate services, clear persistence mechanisms (cron jobs), and delete artifacts from temporary directories like /tmp, /var/tmp, or /dev/shm.
This rule detects the use of command-line text-processing utilities (grep, awk, sed, etc.) to search for sensitive credential-related strings (e.g., secret, token, password) within environment files or process environments. This pattern is indicative of an adversary attempting to manually extract stored credentials from configuration files or system environment variables.
Detects DragonForce ransomware note (readme.txt) referencing known DragonForce Tor negotiation/blog onion addresses
This rule detects activities associated with the 'clean.sh' script often used by cryptocurrency miners to remove competing miner processes, terminate services, clear persistence mechanisms (cron jobs), and delete artifacts from temporary directories like /tmp, /var/tmp, or /dev/shm.
This rule detects activities associated with the 'clean.sh' script often used by cryptocurrency miners to remove competing miner processes, terminate services, clear persistence mechanisms (cron jobs), and delete artifacts from temporary directories like /tmp, /var/tmp, or /dev/shm.
This rule detects activities associated with the 'clean.sh' script often used by cryptocurrency miners to remove competing miner processes, terminate services, clear persistence mechanisms (cron jobs), and delete artifacts from temporary directories like /tmp, /var/tmp, or /dev/shm.
This rule detects activities associated with the 'clean.sh' script often used by cryptocurrency miners to remove competing miner processes, terminate services, clear persistence mechanisms (cron jobs), and delete artifacts from temporary directories like /tmp, /var/tmp, or /dev/shm.
The following analytic detects suspicious data chunking activities that involve the use of split or dd, potentially indicating an attempt to evade detection by breaking large files into smaller parts.
Attackers may use this technique to bypass size-based security controls, facilitating the covert exfiltration of sensitive data.
By monitoring for unusual or unauthorized use of these commands, this analytic helps identify potential data exfiltration attempts, allowing security teams to intervene and prevent the unauthorized transfer of critical information from the network.
Attackers may use this technique to bypass size-based security controls, facilitating the covert exfiltration of sensitive data.
By monitoring for unusual or unauthorized use of these commands, this analytic helps identify potential data exfiltration attempts, allowing security teams to intervene and prevent the unauthorized transfer of critical information from the network.
Detects the presence of known malicious file hashes associated with the Mini Shai-Hulud supply chain compromise (e.g., malicious npm package artifacts). The rule monitors device file, process, and image load events for SHA256 matches.
This rule detects potential malicious activity on macOS where a user or script is prompted to open a legitimate-looking application bundle (decoy) while, in close temporal proximity (within 2 minutes), background processes related to hidden .macos payloads or quarantine flag manipulation via 'xattr' are executed. This is a common pattern for malware to appear legitimate to the user while performing malicious setup or persistence in the background.
Detects the execution of commands containing keywords associated with Linux kernel module management (modprobe) and sensitive memory/kernel modification flags (msr, allow_writes). These keywords are often utilized by malicious actors attempting to load Loadable Kernel Modules (LKMs), manipulate system memory directly, or disable kernel-level protections.
This rule detects potential malicious activity on macOS where a user or script is prompted to open a legitimate-looking application bundle (decoy) while, in close temporal proximity (within 2 minutes), background processes related to hidden .macos payloads or quarantine flag manipulation via 'xattr' are executed. This is a common pattern for malware to appear legitimate to the user while performing malicious setup or persistence in the background.
The following analytic detects the creation of a new local user account on a MacOS system. It leverages osquery logs to identify this activity.
Monitoring the creation of local accounts is crucial for a SOC as it can indicate unauthorized access or lateral movement within the network.
If confirmed malicious, this activity could allow an attacker to establish persistence, escalate privileges, or gain unauthorized access to sensitive systems and data.
Monitoring the creation of local accounts is crucial for a SOC as it can indicate unauthorized access or lateral movement within the network.
If confirmed malicious, this activity could allow an attacker to establish persistence, escalate privileges, or gain unauthorized access to sensitive systems and data.
Detects the creation, modification, or renaming of systemd service files within a user's configuration directory (~/.config/systemd/user/). The rule further correlates these file events with the execution of 'systemctl --user' commands to enable or start these services, which is a common pattern for establishing user-level persistence on Linux systems.
Detects creation of new scheduled tasks (cron), systemd services, or startup entries that reference the reverse_ssh tool, consistent with attacker persistence established after vCenter compromise.
Detects screen-recording or AI voice-transcription applications (iTop Screen Recorder, Krisp, Caption.Ed) running within 60 minutes of an active videoconferencing session, consistent with PurpleDelta operators recording or transcribing interviews or meetings to generate scripted answers.
Detects a rapid multi-stage infection chain on macOS, typically associated with the ClickFix campaign. The rule monitors for a sequence of process events starting from a shell, followed by a curl-based download, data decoding via base64 or openssl, execution of the decoded content via shell/python/perl, and finally persistence mechanisms using launchctl or osascript, all occurring within 28 seconds.
This rule detects the execution of the Unisoc/Sprd 'EngineerModeActivity' via ADB shell on Android devices. Invoking this activity enables diagnostic modes and debug logging, which are often used by threat actors to facilitate exploitation, reverse engineering, or the collection of sensitive crash dump information for modem-related research.
Detects dropper/staging scripts that curl-fetch a second-stage Mach-O payload to /tmp/helper or /tmp/update, chmod +x it immediately afterward in the same command sequence, ad-hoc/unsigned sign it, and strip quarantine attributes, while excluding scripts that verify a legitimate Developer ID signature
Page 7 of 22