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Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects web proxy requests that resemble phishing attempts targeting Apple Activation Lock. The rule identifies URLs containing specific Apple-related keywords in combination with common phishing URL paths, while filtering out legitimate Apple support documentation pages.
C2 Ioc Detection
YARA-L
Detects Network, File, or Process events associated with known C2 IOCs
This rule detects suspicious activity where a node.exe process, often associated with a node-pty terminal emulation, launches common Windows command-line shells (cmd.exe, powershell.exe) from specific file paths or directories. This behavior is indicative of a Node.js-based Remote Access Trojan (RAT) or shell spawning mechanism being used to establish command and control or persistence on a Windows host.
This rule monitors for two distinct suspicious patterns: first, the interaction between Claude Desktop and the CEF (Chromium Embedded Framework) library, which may indicate unauthorized plugin or extension loading; second, the execution of non-standard binaries initiated by various JetBrains IDE processes located outside of standard program directories, which could indicate process hollowing or unauthorized tool execution.
Detects web proxy requests that resemble phishing attempts targeting Apple Activation Lock. The rule identifies URLs containing specific Apple-related keywords in combination with common phishing URL paths, while filtering out legitimate Apple support documentation pages.
This rule detects known JavaScript payloads associated with the JWR phishing framework by matching their SHA-256 file hashes. This is a signature-based detection for malicious script files commonly used in phishing attacks.
Detects a sequence of activity characteristic of lateral movement and credential theft: the deployment or execution of PsExec service followed by the use of Windows utilities (vssadmin, ntdsutil, esentutl) to perform Volume Shadow Copy-based extraction of the NTDS.dit database or SYSTEM hive on the same host.
Detects potential credential reuse attacks such as Pass-the-Hash, Pass-the-Ticket, or Overpass-the-Hash. The rule identifies a 'NewCredentials' logon (e.g., runas /netonly) followed by a network or remote interactive logon to a target system (such as a domain controller) by the same user, without an interactive logon session occurring between the events, which is indicative of using stolen credentials to move laterally.
Detects potential credential reuse attacks such as Pass-the-Hash, Pass-the-Ticket, or Overpass-the-Hash. The rule identifies a 'NewCredentials' logon (e.g., runas /netonly) followed by a network or remote interactive logon to a target system (such as a domain controller) by the same user, without an interactive logon session occurring between the events, which is indicative of using stolen credentials to move laterally.
Detects two distinct behaviors indicative of potential credential theft or lateral movement: DCSync-style Active Directory replication requests identified via Event ID 4662 with specific replication GUIDs, and high-volume SMB traffic originating from Domain Controllers or DC-adjacent hosts, which may indicate unauthorized data access or credential dumping activities.
Detects two distinct behaviors indicative of potential credential theft or lateral movement: DCSync-style Active Directory replication requests identified via Event ID 4662 with specific replication GUIDs, and high-volume SMB traffic originating from Domain Controllers or DC-adjacent hosts, which may indicate unauthorized data access or credential dumping activities.
This rule monitors for the execution or presence of files matching a specific set of known malicious MD5 hashes within the environment. It leverages DeviceFileEvents and DeviceProcessEvents logs to identify if these specific files are being accessed or executed on managed endpoints.
Detects a suspicious pattern where a user browser visits a Google Document and subsequently initiates a connection to the Telegram Bot API within a short timeframe (10 minutes). This sequence is indicative of malicious Google Apps Scripts embedded in documents attempting to exfiltrate victim information (IP, geolocation, device details) as part of a reconnaissance phase before a ClickFix-style payload delivery.
Detects suspicious processes accessing cryptocurrency wallet data files or browser extension settings, characteristic of infostealer malware such as AMOS or GhostCode. The rule excludes common browser processes and legitimate wallet applications to identify unauthorized attempts to harvest wallet credentials, private keys, or seed phrases.
Detects the creation of a Volume Shadow Copy followed by an attempt to access or copy sensitive files, specifically the NTDS.dit database or the SYSTEM registry hive, from that shadow copy. This behavior is indicative of an attempt to perform offline credential theft.
Detects the creation of a Volume Shadow Copy followed by an attempt to access or copy sensitive files, specifically the NTDS.dit database or the SYSTEM registry hive, from that shadow copy. This behavior is indicative of an attempt to perform offline credential theft.
Detects the creation of a Volume Shadow Copy followed by an attempt to access or copy sensitive files, specifically the NTDS.dit database or the SYSTEM registry hive, from that shadow copy. This behavior is indicative of an attempt to perform offline credential theft.
Detects a suspicious sequence of events where msiexec.exe is launched by explorer.exe, subsequently spawning a suspended chrome.exe process. This is followed by the creation of a 'PavokwiLoader.exe' file in a 'Temp\modules' directory and the establishment of persistence by setting the 'Load' value within the 'HKCU\Software\Microsoft\Windows NT\CurrentVersion\Windows' registry key to execute the dropped loader.
Detects the execution of pythonw.exe spawned by ComputerDefaults.exe, which is a known technique for bypassing User Account Control (UAC) to achieve elevated privileges. This rule specifically tracks instances where a Python script is initiated and subsequently triggered by the UAC-bypassing binary within a 5-minute window.
Detects a sequence of activity indicative of beacon-like behavior: initial domain reconnaissance using commands such as 'net', 'systeminfo', or 'nltest', followed by the execution of 'rundll32.exe' without command-line arguments, and subsequent LDAP (port 389) communication to a domain controller, all occurring within a short timeframe.
Detects the creation of a scheduled task using the 'schtasks.exe' utility where the task name is 'MultiUpdater' and the task definition is imported from a file with a specific naming convention and extension (mgk, tmp, or xml) in the root directory.
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