Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
20,501 detections
Filters
Last updated
All Time
Detection languages
8,116
7,174
1,351
1,169
1,063
Contributors
4,878
2,724
2,695
2,646
2,356
Categories
20,501
11,881
5,887
5,179
4,868
Platforms
18,096
3,056
1,506
124
104
Products / Services
5,727
4,303
3,717
1,175
958
MITRE Techniques
9,493
7,577
3,461
2,848
2,703
CVEs
36
28
25
21
20
IDS Classtypes
1
This rule detects PowerShell processes attempting to download specific ZIP files (e.g., DriverInstaller.zip, Automata-20.zip, ww.zip) from Backblaze B2 cloud storage buckets. This pattern is commonly associated with the delivery of malicious payloads or staged tools.
This rule monitors network HTTP traffic containing specific strings related to gym-membership APIs and client IDs, alongside process or file activity referencing 'getFitnessProfile'. This combination is a behavioral fingerprint associated with a specific Golang-based remote access trojan (RAT) attempting to exfiltrate or interact with fitness profile data.
This rule detects unauthorized persistence attempts by monitoring processes (reg.exe or powershell.exe) modifying the Windows 'CurrentVersion\Run' registry key to execute an application named 'DailyFitnessTracker' upon user logon.
Detects the use of PowerShell to execute the 'Compress-Archive' cmdlet against a file named 'download.bin'. This behavior is commonly used by adversaries to compress staged data, potentially for exfiltration, or to manipulate artifacts downloaded from an external source.
Detects execution of command-line tools (cmd.exe or .bat files) triggered by Windows Explorer, where the process command line or parent command line references a shortcut (.lnk) file or specific naming conventions like 'doxc.bat' or 'config.bat'. This pattern is frequently used in phishing attacks to execute malicious payloads disguised as legitimate files.
This rule detects various common command-line techniques used for network reconnaissance and internal environment enumeration on Windows systems. It tracks the execution of native tools such as ARP for ARP cache dumping, Ping for subnet sweeps, and NetBIOS or SMB-related commands (nbtstat, net view, net share, net session) to identify remote systems, network shares, and active sessions.
Detects malicious scheduled task creation using names associated with Microsoft Edge updates, or the execution of PowerShell commands that utilize encoded arguments and known APT36 download cradles, indicating an attempt to establish persistence or retrieve secondary payloads.
Detects automated searching (via grep, findstr, or select-string) for sensitive strings (e.g., API keys, private keys, wallet data) across multiple occurrences on a single host, or the creation of suspicious sensitive files (e.g., .env, credentials, wallet.dat) on devices where such automated sweeping activity has been observed. This pattern indicates an adversary staging data for exfiltration.
Detects host-based network reconnaissance behaviors commonly associated with the threat group APT36 (Transparent Tribe). The rule identifies the execution of various built-in Windows network discovery commands including arp, nbtstat, net view/share/session, and automated ping sweeps or PowerShell-based subnet enumeration scripts, which are used to map reachable hosts and network shares.
Detects anomalous process execution where a non-privileged process spawns a child process with root/SYSTEM (uid 0) privileges without passing through recognized elevation binaries (e.g., sudo, su, pkexec). This behavior is consistent with post-exploitation privilege escalation techniques, such as exploiting hijacked file descriptors or callback structures to gain root authority.
Detects a sequence of events where a process within a container namespace attempts to interact with the host filesystem (e.g., /proc/1/root, nsenter) followed shortly by an unexpected gain of root privileges or execution of setuid(0) that is not associated with legitimate su or sudo usage.
Detects anomalous process execution patterns involving netkit devices and virtual network interfaces (VXLAN/OVS) configured with oversized headroom, characteristic of the TUNderflow (CVE-2026-81000) exploitation chain. The rule monitors for the staging of netkit devices and specific OVS command-line interactions by non-privileged accounts, excluding known legitimate SDN and CNI infrastructure management processes.
Detects the execution of the Linux 'unshare' utility to create new namespaces (user or network). This command is often used as a primitive for container escapes or privilege escalation by allowing an unprivileged user to create isolated environments. The rule excludes common container management and virtualization tools to reduce noise.
Detects interactive root shell requests via 'sudo -i' that occur shortly after a failed Parallels appliance installation or tar extraction event containing specific error codes or configuration markers (UCP_UID=0). This pattern aligns with the exploitation chain for CVE-2026-90894, where an attacker leverages an extraction failure to escalate privileges.
Detects unauthorized modifications to the 'endo_voyager_dictation_endpoint' preference key within the 'com.meta.muse.plist' file on macOS. This key is an undocumented configuration setting that, if modified, allows an attacker to redirect dictation traffic to a malicious, attacker-controlled endpoint.
Detects unauthorized modifications to the 'endo_voyager_dictation_endpoint' preference key within the 'com.meta.muse.plist' file on macOS. This key is an undocumented configuration setting that, if modified, allows an attacker to redirect dictation traffic to a malicious, attacker-controlled endpoint.
Detects unauthorized modifications to the 'endo_voyager_dictation_endpoint' preference key within the 'com.meta.muse.plist' file on macOS. This key is an undocumented configuration setting that, if modified, allows an attacker to redirect dictation traffic to a malicious, attacker-controlled endpoint.
Detects unauthorized modifications to the 'endo_voyager_dictation_endpoint' preference key within the 'com.meta.muse.plist' file on macOS. This key is an undocumented configuration setting that, if modified, allows an attacker to redirect dictation traffic to a malicious, attacker-controlled endpoint.
Detects common web application and application server processes (such as java, node, nginx, or apache) spawning suspicious shell or utility processes. This behavior is often indicative of exploitation of a web vulnerability (e.g., Remote Code Execution) where an adversary attempts to gain a reverse shell or execute post-exploitation commands.
Detects activity associated with the 'MovieReaper' threat campaign by identifying known malicious file hashes, command and control (C2) IP addresses, and communication with identified malicious domains. This rule monitors process execution, file operations, and network connections within the campaign's active timeframe.
Detects execution of the MovieReaper initial loader binary. This malware employs advanced anti-analysis techniques, specifically manual PEB-walking to resolve APIs and evade detection by standard library loading hooks. The rule alerts on known file hashes and specific masquerading filenames.
Page 169 of 977


