Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
327 detections
Filters
Last updated
All Time
Detection languages
116
113
37
21
15
Contributors
58
49
41
33
23
Categories
236
224
38
28
19
Platforms
275
47
7
5
4
Products / Services
86
67
63
27
25
MITRE Techniques
18,115
15,635
12,576
8,388
6,215
CVEs
6
6
2
2
2
IDS Classtypes
2
1
1
1
IDS Protocols
3
1
Detects instances where a process masquerading as 'firefox.exe' executes common system reconnaissance commands such as systeminfo, ipconfig, whoami, and tasklist from non-standard file paths. This behavior is indicative of the BabylonRAT malware attempting to gather system and network information after establishing persistence.
This rule detects suspicious command executions (e.g., whoami, downloadstring, iex, registry modifications) initiated by processes associated with the CrowdStrike Falcon agent. It also correlates these executions with the loading of unsigned or unverifiable DLLs by the same Falcon processes within a 5-minute window, which may indicate attempts to tamper with or masquerade as the security agent.
Detects anomalous child process execution originating from PaperCut application processes (pc-app.exe) or associated Java processes. This is indicative of post-exploitation activity following an RCE vulnerability where the application server is leveraged to spawn command interpreters, discovery utilities, or ingress tools.
Detects a sequence of system reconnaissance commands consistent with a Linux stager preparing to deploy a malicious cron payload. The rule identifies the combination of process enumeration (specifically targeting haproxy or cron services), privilege verification, and OS environment profiling (hostname, kernel, or distribution details) occurring within a single execution context.
Detects network communication to known malicious infrastructure associated with the GRAYRABBIT malware campaign. The rule correlates TCP connections on port 443 to the domain 'mail.uaiubifas.top' with process events attempting to discover system and user information (GetAdaptersAddresses, gethostname, GetUserNameA), which is characteristic of the malware's initial beaconing behavior.
Detects network communication to known malicious infrastructure associated with the GRAYRABBIT malware campaign. The rule correlates TCP connections on port 443 to the domain 'mail.uaiubifas.top' with process events attempting to discover system and user information (GetAdaptersAddresses, gethostname, GetUserNameA), which is characteristic of the malware's initial beaconing behavior.
Detects a sequence of system reconnaissance commands consistent with a Linux stager preparing to deploy a malicious cron payload. The rule identifies the combination of process enumeration (specifically targeting haproxy or cron services), privilege verification, and OS environment profiling (hostname, kernel, or distribution details) occurring within a single execution context.
Detects the execution of common discovery commands like 'whoami' combined with system information gathering commands (tasklist, ver, uname) when initiated by an application named 'pc-app.exe'. This pattern is frequently observed during the reconnaissance phase of an attack.
Detects Python processes executing common system and network enumeration tools (e.g., net.exe, tasklist.exe, dsquery, Get-ADUser). This activity is indicative of the SynkLoader system profiler module, used to size the victim environment for ransom-value estimation and lateral movement preparation.
The following analytic detects the execution of `whoami.exe` without any arguments. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process execution logs. This activity is significant because both Red Teams and adversaries use `whoami.exe` to identify the current logged-in user, aiding in situational awareness and Active Directory discovery. If confirmed malicious, this behavior could indicate an attacker is gathering information to further compromise the system, potentially leading to privilege escalation or lateral movement within the network.
Detects AS-REP roasting is an attack that is often-overlooked. It is not very common as you have to explicitly set accounts that do not require pre-authentication.
Detects Python processes executing common system and network enumeration tools (e.g., net.exe, tasklist.exe, dsquery, Get-ADUser). This activity is indicative of the SynkLoader system profiler module, used to size the victim environment for ransom-value estimation and lateral movement preparation.
Detects a sequence of system reconnaissance commands consistent with a Linux stager preparing to deploy a malicious cron payload. The rule identifies the combination of process enumeration (specifically targeting haproxy or cron services), privilege verification, and OS environment profiling (hostname, kernel, or distribution details) occurring within a single execution context.
Detects a sequence of system reconnaissance commands consistent with a Linux stager preparing to deploy a malicious cron payload. The rule identifies the combination of process enumeration (specifically targeting haproxy or cron services), privilege verification, and OS environment profiling (hostname, kernel, or distribution details) occurring within a single execution context.
Detects the execution of Windowsupdate.exe, a known component of the QUICSILVER campaign. The backdoor is identified by its filename and specific file hash. Once executed, it facilitates system and directory discovery, including hostname enumeration and file system navigation.
Detects a sequence of system reconnaissance commands consistent with a Linux stager preparing to deploy a malicious cron payload. The rule identifies the combination of process enumeration (specifically targeting haproxy or cron services), privilege verification, and OS environment profiling (hostname, kernel, or distribution details) occurring within a single execution context.
Detects reconnaissance patterns associated with SynkLoader, specifically focusing on in-memory PowerShell execution used to harvest system information, user privileges, running services, process listings, and Active Directory computer counts.
Detects a sequence of common discovery commands (ipconfig, whoami, nltest, net group, wmic) executed within a short timeframe (60 seconds) by the same process. This activity is indicative of an adversary performing internal reconnaissance to understand the environment, network, and user privileges.
Aggregates identity, endpoint, cloud application, and messaging telemetry to build a consolidated profile of the devices, clients, applications, and user agents associated with a specific user account.
The query combines Microsoft Entra sign-in data, endpoint logon activity, cloud application events, and email telemetry to provide a high-level overview of a user's activity footprint across the environment.
This query is useful for incident response, account compromise investigations, insider threat investigations, and validating whether a user is accessing services from expected devices and client applications.
The query combines Microsoft Entra sign-in data, endpoint logon activity, cloud application events, and email telemetry to provide a high-level overview of a user's activity footprint across the environment.
This query is useful for incident response, account compromise investigations, insider threat investigations, and validating whether a user is accessing services from expected devices and client applications.
Suspicious Discovery Command Execution
Cortex XDR
Detects the execution of common command-line utilities frequently used by adversaries for system, network, and account discovery after gaining initial access to a host.
Detects rapid execution of multiple system discovery commands (systeminfo, nltest, whoami, quser, ping) within a 15-minute window on a single host. Attackers often use these tools sequentially to gather intelligence about the environment, user identity, and network topography post-compromise.
Page 3 of 16