Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
40,057 detections
Filters
Last updated
All Time
Detection languages
15,357
13,598
2,797
1,803
1,721
Contributors
7,678
5,999
5,315
4,504
4,191
Categories
18,110
9,757
3,852
3,759
3,713
Platforms
40,057
7,331
6,542
3,907
3,664
Products / Services
10,439
9,678
6,723
1,887
1,879
MITRE Techniques
13,737
13,117
8,066
5,949
4,414
CVEs
49
45
30
30
29
IDS Classtypes
214
56
43
23
19
IDS Protocols
183
172
20
16
8
This rule monitors for user interactions with specific domains and URLs known to be associated with suspicious or malicious activity. It aggregates data from multiple sources, including email clicks (UrlClickEvents), device network activity (DeviceNetworkEvents), device browser events (DeviceEvents), and DNS queries (DnsEvents), to identify potential exposure to these indicators of compromise.
This rule monitors for indicators of compromise (IOCs) associated with a specific AutoIT-based malware delivery chain. It tracks the execution and presence of specific malicious file names and SHA256 hashes, as well as network connections to a identified command-and-control (C2) infrastructure IP address (158.51.122.136). The detection spans file creation, process execution, image loading, and network communication events to identify the multi-stage attack lifecycle.
This rule monitors for indicators of compromise (IOCs) associated with a specific AutoIT-based malware delivery chain. It tracks the execution and presence of specific malicious file names and SHA256 hashes, as well as network connections to a identified command-and-control (C2) infrastructure IP address (158.51.122.136). The detection spans file creation, process execution, image loading, and network communication events to identify the multi-stage attack lifecycle.
Detects the deletion of volume shadow copies using common Windows administrative utilities including vssadmin.exe, wmic.exe, diskshadow.exe, or through PowerShell WMI/CIM cmdlets. This behavior is frequently associated with ransomware and data destruction attacks aiming to prevent system recovery.
Detects the execution of PowerShell or PWSH with command-line arguments often used to obfuscate scripts or hide activity, such as encoded commands (-enc), base64 decoding, or running the process with a hidden window.
Detects execution of potentially suspicious processes ('Launcher.exe' or 'GapiUpdate.exe') originating from ClickOnce-related processes ('dfsvc.exe' or 'rundll32.exe' with 'dfshim.dll'). ClickOnce is often abused to proxy execution of malicious code, allowing adversaries to execute applications from user-writable directories without administrative privileges.
Detects NeedleStealer Rust-based stealer binaries via Go module path strings, C2 domain, build tag, and embedded browser wallet extension identifiers
Detects access to sensitive credential stores (KeePass databases, Firefox logins, SSH keys, VPN configuration files) by suspicious processes, specifically those associated with potential credential harvesting tools or unauthorized update binaries.
This rule detects potentially malicious activities aimed at credential harvesting and system recovery inhibition. It monitors for the execution of vssadmin.exe with arguments to list shadow copies (often a precursor to deletion) or references to DPAPI master keys in command lines. Additionally, it identifies unauthorized processes attempting to access sensitive browser-based credential files (e.g., Login Data, Cookies, key4.db) from standard browser installation paths, specifically excluding legitimate browser and update processes.
This rule detects potentially malicious activities aimed at credential harvesting and system recovery inhibition. It monitors for the execution of vssadmin.exe with arguments to list shadow copies (often a precursor to deletion) or references to DPAPI master keys in command lines. Additionally, it identifies unauthorized processes attempting to access sensitive browser-based credential files (e.g., Login Data, Cookies, key4.db) from standard browser installation paths, specifically excluding legitimate browser and update processes.
This rule detects potential automated cryptocurrency wallet draining activity by correlating the execution of known stealer processes (such as GapiUpdate or NeedleStealer) with subsequent outbound network connections to suspicious command-and-control domains or API endpoints within a 30-minute window.
This rule detects processes accessing sensitive credential, configuration, or environment files typically stored in locations like .aws, .ssh, .kube, or application user directories. It alerts when a non-standard or unexpected process touches multiple sensitive folders, or when specific suspicious process names or known malicious tools (such as 'NeedleStealer') are observed interacting with these files. This is indicative of potential credential harvesting or reconnaissance activities.
This rule detects potential command-and-control beaconing activity associated with the Go RAT used in the GapiUpdate campaign. It monitors for outbound network connections over TCP port 5556 to a known malicious C2 IP address, or alternatively, detects persistent outbound activity to other external (non-RFC1918) IP addresses characterized by multiple successive connections within a 10-minute window, which mimics the behavior of persistent beaconing.
This rule detects potential command-and-control beaconing activity associated with the Go RAT used in the GapiUpdate campaign. It monitors for outbound network connections over TCP port 5556 to a known malicious C2 IP address, or alternatively, detects persistent outbound activity to other external (non-RFC1918) IP addresses characterized by multiple successive connections within a 10-minute window, which mimics the behavior of persistent beaconing.
This rule detects scenarios where 'MpClient.dll' is loaded by a process that is not a recognized Microsoft Defender security process, and this load event occurs in close temporal proximity to the creation or modification of 'ShieldCrash_' artifacts. This pattern is indicative of potential DLL side-loading or defense evasion activities, where an adversary attempts to masquerade malicious activity using components associated with security product internals or crash reporting mechanisms.
This rule detects successful outbound network connections to the domain 'gapidriver.com' targeting the URI path '/api/get.php'. This pattern is associated with command and control (C2) activity. Due to the lack of specific HTTP header validation in this telemetry source, the signal may require additional validation, such as analyzing the initiating process lineage.
This rule detects successful outbound network connections to the domain 'gapidriver.com' targeting the URI path '/api/get.php'. This pattern is associated with command and control (C2) activity. Due to the lack of specific HTTP header validation in this telemetry source, the signal may require additional validation, such as analyzing the initiating process lineage.
Detects successful network connections to a known hVNC RAT (GapiUpdate) C2 infrastructure IP address on port 5556, based on DeviceNetworkEvents logs.
This rule monitors for suspicious memory-based code execution patterns, such as reflective loading or execution of code from memory segments marked with executable permissions (PAGE_EXECUTE_READWRITE or PAGE_EXECUTE_READ) that do not originate from a signed Microsoft file. It specifically flags memory regions containing the MZ header that lack a corresponding backing file, as well as specific known suspicious DLL patterns or memory protection flag changes indicative of process injection or fileless execution.
Detects thread creation where the start address resolves to the 'AnimateWindow' function within 'user32.dll'. This behavior is a known indicator of thread-hijacking techniques, such as those implemented by the SparroWocky framework using the MinHook library, where the thread entry point is spoofed to evade detection.
This rule detects the presence or execution of known malicious DLL files (winfsp-x64.dll or DukeQt.dll) by monitoring process rollups, image loads, and file operations. The detection is triggered by matching the file name against specific SHA1 hashes associated with known malicious activity.
Page 376 of 1908