Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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IDS Classtypes
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This rule detects potentially malicious behavior where common scripting processes such as PowerShell, WScript, or CScript interact with sensitive memory-related APIs (e.g., VirtualProtect, GetProcAddress, LoadLibrary) or monitor modules (amsi.dll, clr.dll). This pattern is often indicative of reflective loading, memory injection, or attempts to bypass security controls like AMSI.
Detects anomalous behavior within a Chrome renderer process involving the acquisition of SeDebugPrivilege, preceded by ALPC, WNF, or reflective DLL loading activities. This pattern is indicative of the BlueMoon (CVE-2026-85880) kernel privilege escalation exploit chain, where a compromised low-integrity renderer leverages kernel vulnerabilities to gain elevated privileges.
Detects a sequence of PowerShell commands consistent with the VelvetCake reconnaissance module, including enumeration of antivirus software via SecurityCenter2, system information, IP configurations, running processes, recent files, and drive mapping within a short timeframe.
Detects evidence of ONYXC2 malware activity by correlating process-related events (mutex creation, remote thread injection, named pipes) with suspicious registry key or value modifications containing the 'ONYXC2' indicator within a 5-minute window.
This rule monitors for known malicious file hashes (MD5) and network traffic (domains and specific URLs) associated with known threats. It aggregates events from DeviceFileEvents, DeviceProcessEvents, and DeviceNetworkEvents to identify potential interactions with threat infrastructure.
This rule monitors for known malicious file hashes (MD5) and network traffic (domains and specific URLs) associated with known threats. It aggregates events from DeviceFileEvents, DeviceProcessEvents, and DeviceNetworkEvents to identify potential interactions with threat infrastructure.
This rule monitors for known malicious file hashes (MD5) and network traffic (domains and specific URLs) associated with known threats. It aggregates events from DeviceFileEvents, DeviceProcessEvents, and DeviceNetworkEvents to identify potential interactions with threat infrastructure.
This rule monitors for known malicious file hashes (MD5) and network traffic (domains and specific URLs) associated with known threats. It aggregates events from DeviceFileEvents, DeviceProcessEvents, and DeviceNetworkEvents to identify potential interactions with threat infrastructure.
This rule monitors for known malicious file hashes (MD5) and network traffic (domains and specific URLs) associated with known threats. It aggregates events from DeviceFileEvents, DeviceProcessEvents, and DeviceNetworkEvents to identify potential interactions with threat infrastructure.
BigBear 2.0 IOC HUNT (Cortex XDR)
Cortex XDR
CloudSEK researchers uncovered BigBear 2.0, a global Microsoft 365 phishing-as-a-service operation targeting hundreds of organizations across 40+ countries. The investigation exposed the attacker’s admin panel, affiliate network, phishing infrastructure, and thousands of stolen credentials and session cookies, revealing how modern AiTM attacks can hijack authenticated sessions even after MFA.
Detects instances where the legitimate Windows Character Map utility (charmap.exe) is spawned by suspicious processes or PowerShell, and subsequently loads clr.dll. This behavior is indicative of potential DLL sideloading or process injection techniques used by malware to execute arbitrary code within a trusted system process context.
Detects rapid AI agent state transitions (from 'think' to 'act') within Microsoft Edge processes, specifically identifying potential exploitation of the CVE-2026-55945 race condition vulnerability, which could be used to force the unauthorized execution of an injected prompt.
Detects rapid AI agent state transitions (from 'think' to 'act') within Microsoft Edge processes, specifically identifying potential exploitation of the CVE-2026-55945 race condition vulnerability, which could be used to force the unauthorized execution of an injected prompt.
This rule detects unauthorized processes modifying the 'Secure Preferences' configuration file in Google Chrome or Microsoft Edge browser data directories. This activity often indicates an attempt by malicious software to hijack browser settings, such as forcing extensions or modifying security policies, which is a common precursor to credential theft or persistent malicious access.
This rule detects unauthorized processes modifying the 'Secure Preferences' configuration file in Google Chrome or Microsoft Edge browser data directories. This activity often indicates an attempt by malicious software to hijack browser settings, such as forcing extensions or modifying security policies, which is a common precursor to credential theft or persistent malicious access.
Detects instances where the Windows Remote Management host process (wsmprovhost.exe) is associated with the execution of specific suspicious files (config.toml, cplsupport.exe, or wtass.exe) within a short time window. This activity often indicates post-exploitation behavior or remote execution of secondary tools using WinRM.
This rule detects potential attempts to tamper with or bypass Windows Defender by monitoring for files or processes named 'ShieldCrash' occurring in close temporal proximity to the creation or modification of files within Windows Defender's shadow or scan directories (BaseNamedObjects\Restricted\WD_SHADOW_ or WD_SCAN). This behavior is often associated with malware attempting to evade security detection.
Detects DNS resolution requests for graph.microsoft.com initiated by a python interpreter (python.exe, python3.exe, or pythonw.exe). This activity may indicate a script or custom tool communicating with Microsoft Graph API, which is frequently used for data collection, exfiltration, or cloud service interaction in adversarial campaigns.
This rule detects the creation of specific system mutexes commonly used by malware for persistence or to avoid multiple infections (Mutual Exclusion). It monitors for both a specific hardcoded mutex and a pattern-based approach (15-20 alphanumeric characters) initiated by executables from common temporary or user-writable directories, which is a frequent indicator of malicious secondary payloads or droppers.
Detects unauthorized processes attempting to access sensitive application data files such as browser cookies, local state, or data stored by applications like Discord, Telegram, and Steam, which are frequent targets for credential-stealing malware.
Detects rapid deletion and creation cycles of the WD_SCAN object manager link, a behavioral pattern associated with a Time-of-Check-to-Time-of-Use (TOCTOU) exploit chain targeting Windows Defender (referenced as CVE-2026-69414). The rule monitors for at least three cycle events occurring within a 5-second window, specifically involving the 'WD_SCAN' object identifier.
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