Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects cmd.exe spawned by a python.exe or pip.exe process with a command line invoking netstat or calc.exe. Matches the payload behavior described for the malicious redpy_demo PyPI package, whose __main__.py used Python's subprocess module to execute these commands via cmd.exe automatically at module invocation, without any direct victim interaction with the payload.
Detects a setx.exe process launched by python.exe or pip.exe with a command line referencing the PYTHONPATH environment variable. This matches setup.py build-time tampering that persistently rewrites the user's PYTHONPATH, redirecting future module resolution for the affected user to an attacker-controlled directory across all subsequent Python invocations.
Detects remote service creation where the service binary is launched from an SMB administrative share (ADMIN$ or C$), indicating potential PsExec-style lateral movement.
Correlates a delivered PDF attachment with the same user's browser visiting Mir0Auth C2-style paths within 4 hours. Restricted to browser processes and successful connections, excludes dev/code-hosting domains, and matches users by mailbox alias (DeviceInfo LoggedOnUsers holds UserName, not full email).
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 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 devices reaching P7 DarkSword exploit-delivery hosts (cdn/js.gotoiphone.com, mzpo30.cam) and the agdx53.cc C2, with delivery-then-C2 chaining surfaced as the highest-confidence match. Matching is limited to the exact listed hosts and successful/attempted connection events.
The following analytic identifies the use of a `for /f` loop with the `delims=` option within `cmd.exe`, a technique commonly used to parse and extract data from the output of other commands.
Adversaries and malicious scripts leverage this pattern to programmatically process command output for discovery, data extraction, or execution purposes while evading simpler detection logic.
Adversaries and malicious scripts leverage this pattern to programmatically process command output for discovery, data extraction, or execution purposes while evading simpler detection logic.
This rule detects a classic port knocking sequence followed by a connection to sensitive services (SSH, Telnet, RDP, VNC, WinRM). The rule identifies devices performing rapid connections to multiple different ports within a short window, which is indicative of a port knocking attempt used to trigger service exposure, followed by an immediate attempt to connect to that exposed service.
The following analytic detects attempts to read LSASS memory, indicative of credential dumping.
It leverages Sysmon EventCode 10 and checks for "PROCESS_VM_READ" with query information access on lsass.exe.
It leverages Sysmon EventCode 10 and checks for "PROCESS_VM_READ" with query information access on lsass.exe.
The following analytic identifies potential DLL search order hijacking or DLL sideloading by detecting known Windows libraries loaded from non-standard directories. It leverages Sysmon EventCode 7 to monitor DLL loads and cross-references them with a lookup of known hijackable libraries. This activity is significant as it may indicate an attempt to execute malicious code by exploiting DLL search order vulnerabilities. If confirmed malicious, this could allow attackers to gain code execution, escalate privileges, or maintain persistence within the environment.
The following analytic identifies the use of protocol handlers executed via the command line. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process and command-line telemetry. This activity is significant because protocol handlers can be exploited to execute arbitrary commands or launch applications, potentially leading to unauthorized actions. If confirmed malicious, an attacker could use this technique to gain code execution, escalate privileges, or maintain persistence within the environment, posing a significant security risk.
The following analytic detects attempts to dump the LSASS process memory, a common technique in credential dumping attacks. It leverages Sysmon logs, specifically EventCode 10, to identify suspicious call traces to dbgcore.dll and dbghelp.dll associated with lsass.exe. This activity is significant as it often precedes the theft of sensitive login credentials, posing a high risk of unauthorized access to systems and data. If confirmed malicious, attackers could gain access to critical credentials, enabling further compromise and lateral movement within the network.
The following analytic detects the creation or deletion of Windows shares using the net.exe command. It leverages Endpoint Detection and Response (EDR) data to identify processes involving net.exe with actions related to share management. This activity is significant because it may indicate an attacker attempting to manipulate network shares for malicious purposes, such as data exfiltration, malware distribution, or establishing persistence. If confirmed malicious, this activity could lead to unauthorized access to sensitive information, service disruption, or malware introduction. Immediate investigation is required to determine the intent and mitigate potential threats.
The following analytic detects the creation of a symlink to a shadow copy, which may indicate credential dumping attempts. It leverages the Endpoint.Processes data model in Splunk to identify processes executing commands containing "mklink" and "HarddiskVolumeShadowCopy". This activity is significant because attackers often use this technique to manipulate or delete shadow copies, hindering system backup and recovery efforts. If confirmed malicious, this could prevent data restoration, complicate incident response, and lead to data loss or compromise. Analysts should review the process details, user, parent process, and any related artifacts to identify the attack source.
The following analytic detects the use of PowerShell to delete shadow copies via the WMIC PowerShell module. It leverages EventCode 4104 and searches for specific keywords like "ShadowCopy," "Delete," or "Remove" within the ScriptBlockText. This activity is significant because deleting shadow copies is a common tactic used by ransomware, such as DarkSide, to prevent data recovery. If confirmed malicious, this action could lead to irreversible data loss and hinder recovery efforts, significantly impacting business continuity and data integrity.
The following analytic detects the deletion of shadow copies using the vssadmin.exe or wmic.exe utilities. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process names and command-line arguments. This activity is significant because deleting shadow copies is a common tactic used by attackers to prevent recovery and hide their tracks. If confirmed malicious, this action could hinder incident response efforts and allow attackers to maintain persistence and cover their activities, making it crucial for security teams to investigate promptly.
The following analytic detects the execution of hh.exe (HTML Help) using InfoTech Storage Handlers to load Windows script code from a Compiled HTML Help (CHM) file. This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on process names and command-line executions. This activity is significant because it can be used to execute malicious scripts embedded within CHM files, potentially leading to code execution. If confirmed malicious, this technique could allow an attacker to execute arbitrary code, escalate privileges, or persist within the environment.
The following analytic detects the use of Microsoft HTML Application Host (mshta.exe) to make remote HTTP or HTTPS connections. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on command-line arguments containing URLs. This activity is significant because adversaries often use mshta.exe to download and execute remote .hta files, bypassing security controls. If confirmed malicious, this behavior could allow attackers to execute arbitrary code, potentially leading to system compromise, data exfiltration, or further network infiltration.
The following analytic identifies the execution of `PsExec.exe` with the `accepteula` flag in the command line. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process execution logs and command-line arguments. This activity is significant because PsExec is commonly used by threat actors to execute code on remote systems, and the `accepteula` flag indicates first-time usage, which could signify initial compromise. If confirmed malicious, this activity could allow attackers to gain remote code execution capabilities, potentially leading to further system compromise and lateral movement within the network.
The following analytic identifies the abuse of Regsvr32.exe to proxy execution of malicious code, specifically detecting the loading of "scrobj.dll" by Regsvr32.exe. This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on process creation events and command-line executions. This activity is significant because Regsvr32.exe is a trusted, signed Microsoft binary, often used in "Squiblydoo" attacks to bypass application control mechanisms. If confirmed malicious, this technique could allow an attacker to execute arbitrary code, potentially leading to system compromise and persistent access.
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