Detections

Explore public detection logic contributed by the community across SIEM and rule languages.

462 detections

Detects execution of the Mimikatz tool where the 'sekurlsa' module is specified in the command line. This module is commonly used to extract sensitive credential material, such as cleartext passwords and Kerberos tickets, from the LSASS process memory.
Aaron etr@sertg
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Detections.ai Community
4 months ago
5018
This rule detects scenarios where an unsigned process, originating from typical staging areas (e.g., Temp, AppData, ProgramData), performs cross-process injection (e.g., process hollowing) into a signed third-party binary. This behavior is indicative of malware loaders attempting to masquerade their execution by hiding within the context of legitimate, signed software.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
16013
Detects instances where a process is spawned with a spoofed parent process ID (PPID) that points to a known security software or EDR component. Attackers perform this technique to inherit the security exclusions applied to trusted security processes, thereby effectively bypassing EDR/AV monitoring.
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Duo Tech@duotech
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Detections.ai Community
4 months ago
2013
This rule detects the creation or modification of core Chrome extension files (manifest.json, background.js, search.html) within the Chrome User Data directory by processes other than standard Chrome executables (chrome.exe, chromium.exe, googleupdate.exe). It also includes a specific alert for a known extension identifier. This activity is often indicative of unauthorized browser extension installation, potentially for persistence, credential theft, or malicious C2 activity.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
5013
This rule detects the execution of processes named 'RoguePlanet.exe' and monitors for inter-process communication using named pipes with the same name. This pattern is indicative of a specific malware payload attempting to establish communication channels for C2 or process interaction.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
608
Advanced hunt for injected payloads modifying the memory space of ntdll.dll to patch EtwEventWrite or NtManageHotPatch, blinding EDR telemetry. This rule specifically looks for WriteProcessMemory API calls targeting ntdll.dll from processes like InstallUtil.exe, MSBuild.exe, and powershell.exe, which are commonly abused for code execution and evasion.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
3010
This rule detects when a single process account initiates a high volume (10 or more) of file move operations to folders associated with cloud storage services (e.g., 'cloud', 'dropbox', 'drive') within a one-hour window. This behavior could indicate data exfiltration or staging for exfiltration.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
306
This rule detects potentially malicious activity related to browser extensions, specifically targeting configuration file modifications (manifest.json, rules files) or the use of sensitive browser APIs (declarativeNetRequest, updateDynamicRules) that are commonly abused by malicious extensions. It also flags activity that includes keywords associated with affiliate/ad-click fraud platforms within command line arguments of major browsers like Chrome and Edge.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
117
This rule monitors for the execution of common remote access and support tools (AnyDesk, TeamViewer, ScreenConnect, QuickAssist) that originate from suspicious file paths (e.g., Temp, AppData, Downloads) or are launched with silent installation flags, or appear to be installed via msiexec by non-standard parent processes. These behaviors are common indicators of adversaries attempting to establish unauthorized persistent remote access or deploying remote support tools as part of a post-exploitation activity.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
105
Detects the execution or loading of executables (.exe) or dynamic link libraries (.dll) located in user-specific temporary or roaming directories (AppData). These directories are common locations for attackers to drop payloads, execute malicious code, or achieve persistence, as they are writable by standard users without elevated privileges. The rule includes filters for known legitimate processes that may perform operations in these directories to reduce noise.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
005
This rule detects network connections from devices to a predefined list of known malicious domains. It identifies attempts by internal systems to communicate with command and control servers, phishing sites, or other infrastructure associated with threat actors.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
605
This rule detects when a signed process loads a DLL file from common user-writable directories (AppData, ProgramData, Public, Downloads). It further filters by verifying that the DLL is located in the same directory path tier as the executing process, which is a common indicator of side-loading or DLL hijacking activity where an attacker places a malicious DLL alongside a legitimate executable.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Detects a highly relevant Antivirus alert that reports ransomware.
This event must not be ignored just because the AV has blocked the malware but investigate, how it came there in the first place.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
4 months ago
004
Detects modifications to Chrome or Chromium browser preference files that indicate either the installation of a specific malicious extension or the overriding of the default search provider to a known suspicious domain (perplexity-ai.online). This indicates potential browser-based persistence or search hijacking.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
005
Detects non-browser processes attempting to read or delete sensitive browser data files (e.g., Login Data, Cookies, Web Data, logins.json, cookies.sqlite) located in standard Windows browser paths. The rule specifically flags suspicious behavior involving file access and deletion patterns commonly associated with credential theft or 'browser-wiping' malware like Remcos.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
304
Detects a sequence of actions where a process first enumerates security software (e.g., via WMIC, Registry, or PowerShell) followed by an attempt to stop or terminate security-related services or processes within a short timeframe (5 minutes). This pattern is indicative of an adversary attempting to identify and disable endpoint protection before executing further malicious activity.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
004
Detects memory patching operations targeting 'ntdll.dll', specifically aiming to disable ETW (Event Tracing for Windows) by modifying 'EtwEventWrite' or 'NtTraceEvent' functions. This activity is filtered to detect processes originating from PyInstaller-compiled binaries, identified by the use of '_MEI' temporary extraction directories or specific process names like 'winupdate.exe', which are commonly associated with malicious use of the PyInstaller framework.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
003
This rule monitors for two high-confidence indicators of malicious activity: the execution of known Payouts King ransomware binaries and the termination of security software processes by non-system actors, which is indicative of defensive evasion techniques such as syscall abuse.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
003
This rule detects network connections to a predefined list of known Microstealer malicious domains. These domains are often associated with malware command and control (C2) infrastructure, phishing, or other malicious activities. Monitoring connections to such domains can help identify compromised systems or active malware infections.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
003
Detects OneDrive synchronization service processes or associated modules invoking suspicious token manipulation or privilege enumeration APIs, such as 'StealToken', 'Impersonate_ThisThread', or 'GetPrivileges'. This behavior is indicative of potential privilege escalation or process injection techniques disguised within legitimate cloud sync service processes.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
003
This rule detects network connections to a predefined list of known Microstealer malicious domains. These domains are often associated with malware command and control (C2) infrastructure, phishing, or other malicious activities. Monitoring connections to such domains can help identify compromised systems or active malware infections.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
104
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