Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
1,748 detections
Filters
Last updated
All Time
Detection languages
1,333
86
83
79
79
Contributors
515
305
271
90
67
Categories
20,440
11,814
5,871
5,145
4,864
1,748
Platforms
1,485
337
160
7
7
Products / Services
937
169
119
81
56
MITRE Techniques
759
440
326
250
242
CVEs
5
5
5
5
5
IDS Classtypes
1
This rule detects potential reflective code injection or in-memory loading (fileless) where a DLL or PE image is loaded by mshta.exe or powershell.exe, but the module load event lacks a valid file path on disk (or indicates a device path). This behavior is often associated with the execution of malicious payloads such as the Amatera loader, where payloads are executed directly in memory to evade file-based security detections.
Detects modifications or creation of InprocServer32 COM registry keys by suspicious processes like mshta.exe or powershell.exe, which is indicative of COM Hijacking for persistence or privilege escalation.
Detects modifications or creation of InprocServer32 COM registry keys by suspicious processes like mshta.exe or powershell.exe, which is indicative of COM Hijacking for persistence or privilege escalation.
Detects instances where a RedTail malware variant enumerates processes via the /proc filesystem to identify and terminate previous instances of itself using a kill signal.
Detects instances where a RedTail malware variant enumerates processes via the /proc filesystem to identify and terminate previous instances of itself using a kill signal.
Detects instances where a RedTail malware variant enumerates processes via the /proc filesystem to identify and terminate previous instances of itself using a kill signal.
Detects instances where a RedTail malware variant enumerates processes via the /proc filesystem to identify and terminate previous instances of itself using a kill signal.
Detects attempts to access or create copies of the Active Directory 'ntds.dit' database or the Windows Security Account Manager (SAM) registry hive using unauthorized processes. Attackers often target these files to extract credential hashes from Domain Controllers or local systems.
This rule detects processes accessing '/proc/self/status' to read the 'TracerPID' field. Malware often uses this technique to detect if it is being debugged or traced by security analysis tools, allowing the process to terminate or change behavior to avoid analysis.
Detects potential exploitation attempts involving the NVIDIA global shared memory object (GreenSection) identified as \BaseNamedObjects\{52813408-3561-4705-820a-2b3b78be92ba}. The rule monitors for processes performing memory section operations (e.g., NtMapViewOfSection) in conjunction with driver-related command-line indicators or associated malicious process names, which may indicate an attempt to trigger a crash in nvoglv64.dll or exploit driver-level vulnerabilities.
Detects the loading of Linux kernel modules using insmod or modprobe from non-standard, writable directories such as /tmp, /var/tmp, /dev/shm, /home, /root, or /opt. This behavior is highly indicative of an adversary attempting to install a malicious kernel module or rootkit to gain persistence or privilege escalation, while bypassing standard package management paths.
This rule detects potentially malicious memory manipulation and thread execution activity originating from the ERAAgent.exe process. It specifically identifies when ERAAgent.exe calls VirtualProtect or VirtualAlloc to set memory as PAGE_EXECUTE_READWRITE, followed shortly by a CreateThread or CreateRemoteThread operation. This behavior is indicative of process injection or reflective code loading, where an executable image is manually mapped into memory and executed, bypassing traditional file-based detection.
Detects ERAAgent.exe performing suspicious dynamic API resolution for functions commonly used by the SLEEPWALKER malware (VirtualProtect, SetSecurityDescriptorDacl, and CryptGenRandom). By resolving these functions at runtime via GetProcAddress rather than including them in the static import table, the malware attempts to evade detection and analysis.
Detects modifications to the PostgreSQL configuration file 'pg_hba.conf' closely followed by a reload command (via pg_ctl or postgres processes). This behavior is indicative of an attacker attempting to modify authentication or connection access controls for a database.
Detects the use of common Linux command-line utilities (sed, grep, awk, bash, sh) to perform operations on sensitive system logs or shell history files. The rule targets command strings indicative of log modification, filtering, or removal of audit trails, often associated with an attacker attempting to conceal malicious activity.
Detects network connections from common Linux system binaries (agetty, atd, polkitd, crond) to identified suspicious external domains. These binaries typically do not communicate with external internet services, suggesting potential process masquerading or compromise.
Detects modifications or creation of InprocServer32 COM registry keys by suspicious processes like mshta.exe or powershell.exe, which is indicative of COM Hijacking for persistence or privilege escalation.
Detects periodic screen capture activity performed by Node.js or Electron-based processes, correlated with subsequent outbound network connections to public IP addresses within a short timeframe. This behavior is indicative of the JSCeal malware's surveillance and exfiltration module, where local reconnaissance via screenshotting is followed by data transmission.
Detects when a Node.js process initiates a low-level keyboard hook (WH_KEYBOARD_LL or WH_KEYBOARD) while running from common user-writable directories, which may indicate malicious keylogging activity by a suspicious process.
This rule detects the presence of specific file hashes known to be associated with backdoored software builds, specifically related to recent supply chain compromises affecting South Korean software vendors (e.g., HAProxy builds). It monitors device file events, process initiation, and identity logon events to identify systems that have deployed, executed, or been accessed by these malicious binaries.
This rule detects potential web skimmer activity where a user's browser performs a network connection to known payload delivery hosts (e.g., paste.sh or Google Sheets API) followed by a clipboard modification event on the same device within a one-hour window. This behavior is consistent with malicious scripts attempting to replace copied cryptocurrency wallet addresses with an attacker-controlled address.
Page 25 of 84