Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects indicator of compromise (IOC) sweep events associated with the AhsayCBS campaign (CVE-2026-105133 and CVE-2026-105134) involving XMRig cryptominer activity. It checks for specific file and process SHA256 hashes, remote IP addresses, and domain connections related to known mining pools or attacker infrastructure using Sentinel Device tables.
Performs an IOC sweep for a known XMRig cryptojacking campaign exploiting a REDCap vulnerability (CVE-2026-90817), detecting matching network connections, file hashes, and process activities across endpoints.
Performs an IOC sweep for a known XMRig cryptojacking campaign exploiting a REDCap vulnerability (CVE-2026-90817), detecting matching network connections, file hashes, and process activities across endpoints.
Detects the presence of known Candiru Windows DLL implant IOC hashes across device file events, process events, image loads, and email attachments.
Detects the presence of known Candiru Windows DLL implant IOC hashes across device file events, process events, image loads, and email attachments.
Detects the presence of known Candiru Windows DLL implant IOC hashes across device file events, process events, image loads, and email attachments.
Detects the presence of known Candiru Windows DLL implant IOC hashes across device file events, process events, image loads, and email attachments.
The following analytic detects the execution of curl commands with insecure flags within the Cisco Isovalent environment. It identifies this activity by monitoring process execution logs for curl commands that use the -k or --insecure flags. This behavior is significant for a SOC as it could allow an attacker to bypass SSL/TLS verification, potentially exposing the Kubernetes infrastructure to man-in-the-middle attacks. If confirmed malicious, this activity could lead to data interception, service disruptions, or unauthorized access to sensitive information.
The following analytic detects the usage of the SharpHound binary by identifying its original filename, `SharpHound.exe`, and the process name. This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on process metadata and command-line executions. SharpHound is a tool used for Active Directory enumeration, often by attackers during the reconnaissance phase. If confirmed malicious, this activity could allow an attacker to map out the network, identify high-value targets, and plan further attacks, potentially leading to privilege escalation and lateral movement within the environment.
This rule detects indicator of compromise (IOC) sweep events associated with the AhsayCBS campaign (CVE-2026-105133 and CVE-2026-105134) involving XMRig cryptominer activity. It checks for specific file and process SHA256 hashes, remote IP addresses, and domain connections related to known mining pools or attacker infrastructure using Sentinel Device tables.
This rule detects indicator of compromise (IOC) sweep events associated with the AhsayCBS campaign (CVE-2026-105133 and CVE-2026-105134) involving XMRig cryptominer activity. It checks for specific file and process SHA256 hashes, remote IP addresses, and domain connections related to known mining pools or attacker infrastructure using Sentinel Device tables.
Detects endpoint and network activity matching known Indicators of Compromise (IOCs) associated with BPFDoor, AVERAT, and Rekoobe backdoors based on Rapid7 research. The query checks for specific file hashes, IP addresses, and domain names across process, file, image load, network, and DNS events.
Detects endpoint and network activity matching known Indicators of Compromise (IOCs) associated with BPFDoor, AVERAT, and Rekoobe backdoors based on Rapid7 research. The query checks for specific file hashes, IP addresses, and domain names across process, file, image load, network, and DNS events.
Detects endpoint and network activity matching known Indicators of Compromise (IOCs) associated with BPFDoor, AVERAT, and Rekoobe backdoors based on Rapid7 research. The query checks for specific file hashes, IP addresses, and domain names across process, file, image load, network, and DNS events.
Detects endpoint and network activity matching known Indicators of Compromise (IOCs) associated with BPFDoor, AVERAT, and Rekoobe backdoors based on Rapid7 research. The query checks for specific file hashes, IP addresses, and domain names across process, file, image load, network, and DNS events.
This rule performs an IOC sweep over the past 30 days using DeviceNetworkEvents, DeviceFileEvents, and DeviceProcessEvents to detect indicators associated with PoeLLM / Canto Incognito malware campaigns, specifically scanning for known C2 IP addresses, Kryptex cryptomining pool endpoints/domains, and specific file hashes (SHA256).
Point-in-time sweep of the 16 published BraZetsu sample SHA-256 hashes across file, process and image-load telemetry. Hashes rotated across five versions, so absence of a hit does not rule out BraZetsu.
Point-in-time sweep of the 16 published BraZetsu sample SHA-256 hashes across file, process and image-load telemetry. Hashes rotated across five versions, so absence of a hit does not rule out BraZetsu.
The following analytic identifies a Python process being executed where it's process name does not match
it's original file name attribute. Processes that have been renamed and executed may be an indicator that
an adversary is attempting to evade defenses or execute malicious code.
it's original file name attribute. Processes that have been renamed and executed may be an indicator that
an adversary is attempting to evade defenses or execute malicious code.
Detects WmiPrvSE.exe spawning a child process executable from a user-writable AppData\Local folder, which often results from a .NET process invoking ManagementClass(Win32_Process).Create.
Performs an IOC sweep for a known XMRig cryptojacking campaign exploiting a REDCap vulnerability (CVE-2026-90817), detecting matching network connections, file hashes, and process activities across endpoints.
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