Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects activity associated with the MALFEX npm supply-chain campaign (also known as Overlord/movinlike). This rule performs a sweep for known malicious file hashes, suspicious process command lines, outbound network connections to malicious domains or IPs, and email communications from identified adversary-controlled accounts.
Detects Microsoft Office applications (winword.exe or excel.exe) spawning shell processes (cmd.exe or powershell.exe). This behavior is commonly associated with malicious VBA macro execution in weaponized Office documents used for malware delivery, such as Dridex.
Detects the execution of shortcut (.lnk) files located on removable media (USB) that spawn common Windows binaries (powershell.exe, cmd.exe, mshta.exe) with hidden window flags. This behavior is indicative of initial access or lateral movement techniques used by Mustang Panda (Earth Preta) for USB-based malware propagation and DLL side-loading.
This rule monitors DeviceProcessEvents for the execution of known malicious binaries associated with the SilverFox malware. It specifically looks for occurrences of three distinct SHA256 file hashes within the last 30 days.
Detects rapid creation of numerous .lnk shortcut files on removable media volumes, specifically targeting filenames that mimic common installers (e.g., ChromeSetup, AnyDesk). This behavior is characteristic of worm-like malware attempting to use removable drives for persistence and lateral movement by masquerading as legitimate software.
Detects process/file hashes associated with the ChatGPT Custom GPT ClickFix
campaign via Windows process_creation telemetry. Split from the combined IOC
hunt: Sigma supports only one logsource per rule, so IP/domain/URL matching live
in separate network_connection and dns_query rules.
campaign via Windows process_creation telemetry. Split from the combined IOC
hunt: Sigma supports only one logsource per rule, so IP/domain/URL matching live
in separate network_connection and dns_query rules.
Detects process/file hashes associated with the ChatGPT Custom GPT ClickFix
campaign via Windows process_creation telemetry. Split from the combined IOC
hunt: Sigma supports only one logsource per rule, so IP/domain/URL matching live
in separate network_connection and dns_query rules.
campaign via Windows process_creation telemetry. Split from the combined IOC
hunt: Sigma supports only one logsource per rule, so IP/domain/URL matching live
in separate network_connection and dns_query rules.
This rule detects various malicious indicators including known file hashes, IP addresses, domains, and specific URLs associated with threat activity. It consolidates hits from process, file, and network telemetry to alert on potential compromise or communication with identified command-and-control (C2) infrastructure.
Detects the execution of a Node.js interpreter (node.exe or node) as a child process of a Fortinet management-related process, or where the command line contains references to Fortinet. This behavior is indicative of post-exploitation activity related to CVE-2025-25249, where a heap-based buffer overflow is exploited to deploy the PivotC2 remote access trojan.
This analytic detects script execution (`wscript.exe` or `cscript.exe`) triggered from compressed files opened directly using
`explorer.exe`, `winrar.exe`, or `7zFM.exe`.
When a user double clicks on a ".js" file from within one of these compressed files. Its extracted temporally in the temp directory in folder with certain markers.
It leverages Cisco Network Visibility Module (NVM) flow data, in order to look for a specific parent/child relationship and an initiated network connection.
This behavior is exploited by threat actors such as Scarlet Goldfinch to deliver and run malicious scripts as an initial access technique.
`explorer.exe`, `winrar.exe`, or `7zFM.exe`.
When a user double clicks on a ".js" file from within one of these compressed files. Its extracted temporally in the temp directory in folder with certain markers.
It leverages Cisco Network Visibility Module (NVM) flow data, in order to look for a specific parent/child relationship and an initiated network connection.
This behavior is exploited by threat actors such as Scarlet Goldfinch to deliver and run malicious scripts as an initial access technique.
Detects the FileFix execution chain, where victims are socially engineered into pasting a malicious path into the Windows Explorer address bar. This action results in explorer.exe launching suspicious command-line tools (cmd.exe, powershell.exe, wscript.exe, or cscript.exe) with suspicious flags or unusually long, potentially obfuscated arguments characteristic of a 'ClickFix' style attack.
This rule detects activity involving known malicious indicators of compromise (IOCs), including specific IP addresses, domains, and file hashes. It monitors network connections, file system activity, process execution, and email attachments, filtering out common security tools to reduce noise.
Detects files matching known SHA256 hashes of the masqueraded MSP360 RMM v2.5.0.67 installer and associated ScreenConnect/utility payloads used in phishing-to-dual-RMM campaigns
Detects the download of a masqueraded MSP360 RMM v2.5.0.67 installer to the Downloads folder. The rule identifies files matching specific naming conventions, including generated GUIDs, or known malicious hashes, originating from common cloud storage providers often abused by threat actors.
Detects the execution of known Windows 'Living-off-the-Land' binaries (rundll32.exe, regsvr32.exe, mshta.exe) when they originate from web browsers or office productivity applications, or when they are executed with command-line arguments indicative of network resource loading, remote scripting, or code execution bypasses.
Detects execution of encoded commands in macOS terminal environments that originate from clipboard content mimicking a reCAPTCHA verification process. This pattern often involves users being social-engineered into pasting a malicious string that decodes a payload and pipes it directly into a shell interpreter (sh/bash/zsh). The rule monitors for the co-occurrence of base64/openssl decoding commands and shell execution pipes, while filtering out known legitimate software installation patterns.
Sweeps DeviceFileEvents, DeviceProcessEvents, and DeviceNetworkEvents over a rolling 30-day window for known RevStealer indicators: exact SHA-256 matches against all 13 published file hashes, and exact-host matches (via parsed URL host, not substring) against the confirmed C2 domain meta7.archscreen68.one. An empty, extensible IP list is included for when a malicious IP is published.
This rule monitors for network communication with known malicious infrastructure (IPs/domains) and the execution of specific suspicious file names. It correlates device network events, file system activity, and process execution, specifically flagging attempts to execute MSI installers or other binaries associated with the identified threat indicators.
Detects the OIC-lure Mustang Panda PlugX infection chain with tightened false-positive controls: requires the console-resize artifact (mode.com with digit,digit args) that precedes the download, requires PowerShell to be parented directly by explorer.exe (filtering out legitimate scheduled-task/management-agent automation that also chains curl+tar), requires curl to combine -L with -k/-s (insecure/silent) flags, narrows all correlation windows to 2 minutes, and excludes shell/utility processes from the final execution match.
This rule performs a sweep across device file and network events for indicators of compromise (IOCs) associated with the UAT-11587/Antino campaign. It detects malicious file hashes, specific C2 domain connections, and known lure URLs (HTA/WSF) identified by Cisco Talos.
This rule performs a sweep across device file and network events for indicators of compromise (IOCs) associated with the UAT-11587/Antino campaign. It detects malicious file hashes, specific C2 domain connections, and known lure URLs (HTA/WSF) identified by Cisco Talos.
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