Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
40,045 detections
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Detects suspicious command-line execution patterns involving 'ccmpwn', coercing features, or manipulation of Configuration Manager configuration files such as SCNotification.exe.config.
Detects endpoint connections to known DarkSword/Coruna exploit-host and C2 infrastructure. The shared AWS IP is only matched on C2 ports 8881/8882 to reduce collateral hits.
Detects queries checking for specific Windows hotfixes (QFE) using the WindowsQfe table.
Summarizes the count of devices grouped by their manufacturer and model from device inventory or telemetry data.
Detects and summarizes the encryption status and methods used for the Windows C: drive using the EncryptableVolume table.
Correlates ARTEX tool artifacts on a device with that device contacting the ARTEX host, xcai.pro, or the DeepSeek API within 24 hours.
The following analytic identifies the use of ping commands as a delay or sleep mechanism within batch-style command execution.
It leverages process creation telemetry from Endpoint Detection and Response (EDR) agents and examines process and parent process command-line fields for ping commands that specify a count and are chained with additional commands using command separators or redirection operators.
While execution of the command may generate individual process creation events, such as a separate ping.exe process, this analytic specifically focuses on the original command string passed to a command interpreter, such as cmd.exe /c, that combines the ping-based delay with subsequent command execution.
Adversaries may use ping as an alternative to explicit sleep or timeout commands to introduce execution delays, potentially evading automated analysis, sandboxing, or behavior-based detection.
Because ping is commonly used for legitimate network troubleshooting, findings should be reviewed in the context of the complete command line, parent process, user, and commands executed before or after the delay.
It leverages process creation telemetry from Endpoint Detection and Response (EDR) agents and examines process and parent process command-line fields for ping commands that specify a count and are chained with additional commands using command separators or redirection operators.
While execution of the command may generate individual process creation events, such as a separate ping.exe process, this analytic specifically focuses on the original command string passed to a command interpreter, such as cmd.exe /c, that combines the ping-based delay with subsequent command execution.
Adversaries may use ping as an alternative to explicit sleep or timeout commands to introduce execution delays, potentially evading automated analysis, sandboxing, or behavior-based detection.
Because ping is commonly used for legitimate network troubleshooting, findings should be reviewed in the context of the complete command line, parent process, user, and commands executed before or after the delay.
Detects process creation events where common Office applications (Word, Excel, PowerPoint, Outlook) or archive/reader utilities (Acrobat, WinRAR, 7-Zip) act as the parent process to command-line interpreters, scripting engines, or administrative tools (such as cmd, powershell, wscript, cscript, mshta, rundll32, and others). This behavior is commonly associated with phishing attacks, macro execution, or exploitation of file formats leading to code execution.
Detects network connections to known Indicators of Compromise (IOCs) associated with the TraderTraitor campaign, including trojanized Terraform providers (FLATROOF/ROOFDECK malware families) using specific domains and URL paths.
Sweeps proxy, firewall and endpoint network telemetry for requests to the three published BraZetsu Pastebin dead-drop raw URLs used to retrieve the XOR-encrypted C2 config.
Detects network, file, process, and email interactions associated with known IOCs related to Power BI phishing and rogue ScreenConnect campaigns over a 30-day lookback period.
Detects the Shai-Hulud tensorlake payload pattern of fetching a platform-specific HackBrowserData binary and then executing it on the same host to dump browser-stored credentials. Anchored on tool behavior (download then execution on one host) rather than a single sample hash or the rotating C2 domain.
Detects the creation of persistence artifacts associated with the 'gh-token-monitor' service utilized by the Shai-Hulud worm across Linux systemd user services, macOS LaunchAgents, and Windows scheduled tasks or local application directories. This service acts as a dead-man's switch designed to wipe the user's home directory if the stolen GitHub token is revoked.
The following analytic detects a process enabling the "SeDebugPrivilege" privilege token. It leverages Windows Security Event Logs with EventCode 4703, filtering out common legitimate processes. This activity is significant because SeDebugPrivilege allows a process to inspect and modify the memory of other processes, potentially leading to credential dumping or code injection. If confirmed malicious, an attacker could gain extensive control over system processes, enabling them to escalate privileges, persist in the environment, or access sensitive information.
Detects creation of Windows registry hive files (ntuser.dat or UsrClass.dat) outside the expected user profile path hierarchy. LegacyHive writes a modified ntuser.dat to a GUID-named staging directory at C:\\ root (e.g. C:\\{GUID}\\ntuser.dat) and copies UsrClass.dat there as well to set up the oplock-based race condition. Any hive file materialising outside C:\\Users\\ or C:\\Windows\\ is a strong indicator of this exploit chain or equivalent offline hive manipulation.
Detects the odbcconf LOLBin delivery step assessed for the MuddyWater-linked PatchAgent chain: 'odbcconf /f cloud.rsp' launched from a PatchAgent working directory, typically via a ClickFix lure (explorer -> conhost --headless -> cmd -> odbcconf) fetching the response file over WebDAV. odbcconf executing a .rsp response file is rare in legitimate use and is high-fidelity when paired with WebDAV or a user-writable working directory.
Detects schtasks.exe creating a scheduled task named "Windows Defender Advanced Threat Protection Service" that launches defender.exe (a renamed Sangfor executable abused for DLL sideloading) with SYSTEM privileges at startup. This is the exact persistence mechanism HoneyMyte (Mustang Panda) uses to relaunch the CoolClient backdoor chain from the fake "Microsoft\Windows Defender" directory on every boot.
Detects execution of the XMRig Monero cryptominer or a miner
launched with XMRig-specific pool and tuning arguments. In the AhsayCBS
exploitation campaign attackers dropped XMRig onto compromised backup
servers to hijack CPU resources for Monero mining, severely degrading
server performance. Detection keys on XMRig binary names and the mining
command-line grammar (stratum pool URLs, donate-level and thread-hint flags).
launched with XMRig-specific pool and tuning arguments. In the AhsayCBS
exploitation campaign attackers dropped XMRig onto compromised backup
servers to hijack CPU resources for Monero mining, severely degrading
server performance. Detection keys on XMRig binary names and the mining
command-line grammar (stratum pool URLs, donate-level and thread-hint flags).
Detects creation of a JSP/JSPX/WAR server-side script inside
an AhsayCBS installation or web application directory. In this campaign the
actors exploited critical AhsayCBS vulnerabilities and dropped webshells into
the application web directories to maintain persistent remote access. Legitimate
deployment writes scripts from the AhsayCBS updater, not ad-hoc into web roots.
an AhsayCBS installation or web application directory. In this campaign the
actors exploited critical AhsayCBS vulnerabilities and dropped webshells into
the application web directories to maintain persistent remote access. Legitimate
deployment writes scripts from the AhsayCBS updater, not ad-hoc into web roots.
Detects historical network connections, URL clicks, browser launches, email URLs, and process command lines associated with Wazza phishkit infrastructure IOCs including boegl-krysl.eu, coppietersrecherche.eu, and beacon-surge-sync.workers.dev.
Detects processes accessing sensitive files and configurations associated with multiple AI coding assistants (such as Claude, Codex, Grok, and Cursor) within a short time window, potentially indicating unauthorized access or credential theft from AI tools.
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