Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects the presence or execution of known malicious DLL files (winfsp-x64.dll or DukeQt.dll) by monitoring process rollups, image loads, and file operations. The detection is triggered by matching the file name against specific SHA1 hashes associated with known malicious activity.
Detects the execution of a process named 's.exe' (or similar match) with a command-line argument consisting of a single character 's' followed by a digit. This pattern is commonly associated with malicious usage or obfuscation, where 's.exe' might be a renamed utility or a malicious artifact attempting to masquerade or execute specific tasks.
Detects instances where the Chrome browser process accesses camera or microphone hardware, or invokes media device APIs, potentially indicating unauthorized audio or video recording.
This rule detects rapid, repetitive state change operations (such as think, act, or mode changes) occurring within the Microsoft Edge browser context when interacting with Microsoft domains. This behavior is indicative of automated browser interactions, such as those performed by botnets, automated testing frameworks, or potentially malicious browser automation scripts.
This rule detects potentially malicious attempts to import certificates into the Windows certificate store using command-line tools like certutil or direct modification of the registry. This behavior is frequently associated with attackers attempting to establish persistence, bypass certificate validation, or install rogue trust anchors for man-in-the-middle operations.
This rule monitors for indicators of code execution anomalies commonly associated with process injection, ROP (Return-Oriented Programming) chains, or memory manipulation. It specifically looks for spoofed call stacks, return address validation failures, suspicious API usage in common thread initialization routines, and ROP gadgets within critical modules like kernel32.dll.
This rule detects potential masquerading activity where an executable is signed by 'Discord Inc' or 'Lenovo' but the image path does not correspond to expected legitimate installation directories or filenames. It flags processes that claim a trusted publisher identity while residing in suspicious or unexpected locations.
This rule detects high-frequency, sub-second screen capture activity typically associated with malwares utilizing screen scraping to exfiltrate changed screen regions. It specifically monitors API calls related to graphical interface manipulation (BitBlt, GDI) and screen capture events, triggering when the frequency of these calls reaches a consistent, rapid interval.
This rule detects the potential bypassing of Protected Process Light (PPL) in Windows, characterized by kernel-mode driver activity (such as ObOpenObjectByPointer) correlated with the mass termination of security-related processes (e.g., Defender, CrowdStrike, SentinelOne). The correlation between driver-level object handle manipulation and the termination of protected security binaries is a strong indicator of an adversary attempting to disable EDR/AV protections via kernel exploitation or driver abuse.
Detects the loading or file presence of known suspicious or potentially malicious kernel drivers, specifically 'alinubx.sys' and 'ccprotect.sys', which are associated with unauthorized system-level activity or potential rootkit behavior.
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 suspicious activities originating from CrowdStrike Falcon remediation processes (e.g., CSFalconService.exe, CSFalconContainer.exe). The rule identifies two distinct patterns: either a file operation (delete, modify, rename, quarantine, or restore) followed within 2 minutes by the loading of an unsigned or non-standard DLL, or the spawning of an elevated SYSTEM process from a non-SYSTEM parent process. This behavior is indicative of potential LPE (Local Privilege Escalation) abuse via the Falcon remediation engine, often referred to as FalconFlank-style exploitation.
Detects unexpected crashes of major security software agents (e.g., Antivirus, EDR) that are not associated with authorized vendor update or installation activities, potentially indicating tampering or exploitation attempts to disable security controls.
Detects execution or file presence associated with HOOKEDGE/HEADLACE malware. This rule uses a dual-approach: matching known malicious file hashes (SHA256) and monitoring for specific script files (bat, vbs, cmd) following a GUID-formatted naming convention typically used by the HOOKEDGE installer chain.
BigBear 2.0 IOC HUNT (Gravwell)
Gravwell
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.
BigBear 2.0 IOC HUNT (Gravwell)
Gravwell
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.
BigBear 2.0 IOC HUNT (Gravwell)
Gravwell
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.
BigBear 2.0 IOC HUNT (Gravwell)
Gravwell
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 execution of common reconnaissance and system discovery commands (e.g., whoami, netstat, ifconfig) initiated by web server or application runtime processes (e.g., httpd, nginx, tomcat, node). This behavior is highly indicative of post-exploitation activity where an adversary attempts to gather system or network information after successfully compromising a web-based service.
Detects suspicious modifications to browser 'Secure Preferences' files associated with known bypass techniques for extension integrity checks, coupled with browser process termination and subsequent relaunch using the --restore-last-session flag. This pattern is consistent with adversary activity attempting to inject malicious browser extensions by manipulating browser configuration files.
Detects the suspicious execution of cmd.exe with piped stdio handles (indicative of a reverse shell) initiated by non-standard parent processes associated with the GRAYRABBIT malware, correlated with an immediate outbound network connection from the same process.
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