Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
40,063 detections
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Detects msiexec.exe executing from the Temp directory with suspicious command-line arguments (such as hidden windows) and spawning child processes like cmd.exe, tasklist.exe, or taskkill.exe. This behavior is often indicative of malicious installation scripts attempting to perform discovery or terminate security processes while remaining stealthy.
Detects Vidar Stealer v2.x-3.x custom VM bytecode interpreter used to deobfuscate strings via a fetch-decode-execute loop with sparse opcode dispatch and single accumulator
This rule detects potential web shell creation on a Microsoft Exchange server by monitoring for suspicious child processes spawned by the IIS web server process (w3wp.exe) that correlate with the creation or modification of web-accessible script files (.aspx, .ashx, .asp, .dll) within the Exchange virtual directories (ecp, owa, aspnet_client). This pattern is consistent with common post-exploitation activities used by attackers to gain persistent access via web shells.
Detects in-memory modification of the ntdll.dll module to patch EtwEventWrite or EtwEventWriteFull functions, a technique used by adversaries to evade Windows event tracing and suppress telemetry. The rule specifically targets activities originating from w3wp.exe, consistent with behavior observed in IIS-hosted deployments like GhostContainer.
Detects in-memory modification of the ntdll.dll module to patch EtwEventWrite or EtwEventWriteFull functions, a technique used by adversaries to evade Windows event tracing and suppress telemetry. The rule specifically targets activities originating from w3wp.exe, consistent with behavior observed in IIS-hosted deployments like GhostContainer.
This rule detects HTTP requests directed at Microsoft Exchange Outlook Web Access (OWA) that contain suspicious 'fakePath' and 'fakePageName' parameters in the URI. These parameters are indicators of the 'GhostContainer' malware attempting to establish a socket forwarding proxy through the web server to facilitate command and control communications.
Detects potential tampering with Windows Event Logs or audit services by correlating manual service stops or log clearing events (EventIDs 1100, 1102, 104, 7036, 7040) with a sudden, significant decrease in total event volume on the same host. The rule accounts for planned maintenance and legitimate event log service restarts to reduce noise.
Detection rules identifying malformed RDP MCS Connect Initial PDUs and unusual service crashes following RDP connection attempts, both indicative of exploitation attempts against the CVE-2019-0708 (BlueKeep) vulnerability.
Bigbear V2 Ioc Hunt
Sigma
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.
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.
This rule monitors file events to detect the presence of known malicious files based on their SHA256 or MD5 file hashes.
This rule detects the creation of a scheduled task involving 'MicrosoftIME' or the placement of an 'MicrosoftIME.exe' file within the 'Microsoft\IME' directory. It correlates these activities to identify potential persistence mechanisms where an adversary may be attempting to hijack or masquerade as a legitimate Microsoft Input Method Editor process.
This rule monitors for DNS queries and network connections to known infrastructure domains associated with the threat group UTA0565. It acts as an indicator of compromise (IOC) sweep to identify internal systems attempting to communicate with malicious command-and-control (C2) servers identified by typosquatting and registration-pattern analysis.
Detects initial beaconing registration behavior associated with the CLEANGULP malware, specifically identifying outbound HTTP POST requests to the '/beacon/pre-register' URI path. The rule monitors network device events and can identify this activity even if the adversary switches C2 infrastructure, provided the specific beaconing URI remains constant.
Detects the CLEANGULP backdoor (masquerading as MicrosoftIME.exe) spawning administrative or discovery-related child processes (such as cmd.exe, powershell.exe, or wmic.exe) that are temporally associated with recent network activity, suggesting command execution tasks received from a C2 server.
This rule monitors for interactions with known malicious files (by SHA256 hash), connections to confirmed C2 infrastructure (specific IP address and domains), or requests to known malicious URLs. It aggregates indicators across file, process, network, and web browsing telemetry to identify potential threats or compromised systems communicating with known attacker infrastructure.
This rule monitors for interactions with known malicious files (by SHA256 hash), connections to confirmed C2 infrastructure (specific IP address and domains), or requests to known malicious URLs. It aggregates indicators across file, process, network, and web browsing telemetry to identify potential threats or compromised systems communicating with known attacker infrastructure.
This rule monitors for interactions with known malicious files (by SHA256 hash), connections to confirmed C2 infrastructure (specific IP address and domains), or requests to known malicious URLs. It aggregates indicators across file, process, network, and web browsing telemetry to identify potential threats or compromised systems communicating with known attacker infrastructure.
Detects the presence of known file hashes associated with Vectra Remote Access Trojan (RAT). The rule monitors both file creation/existence events and process execution events where the SHA256 hash matches the identified indicators of compromise.
Detects a two-stage pattern indicative of command-and-control (C2) communication. The rule identifies an initial request to a 'relays.json' endpoint (relay discovery) followed by a request to an 'api.php' endpoint (dispatcher decision) within a 5-second window, both using a 13-digit timestamp query string for cache-busting. It also captures single-stage 'api.php' requests as lower confidence alerts.
This rule monitors for known malicious file hashes, IP addresses, C2 domains, and specific URL markers associated with identified threat activity. It consolidates multiple detection vectors including file activity, process execution, network connections, and DNS queries to identify compromised devices communicating with attacker-controlled infrastructure.
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