Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects the use of download utilities (curl or wget) from terminal shells with command-line arguments containing 'force=1' and architecture-specific identifiers (e.g., arm64, x86_64). This pattern matches the execution chain commonly associated with ClickFix-based AMOS malware distribution, where users are tricked into pasting commands to download and execute architecture-specific payloads.
Detects the use of download utilities (curl or wget) from terminal shells with command-line arguments containing 'force=1' and architecture-specific identifiers (e.g., arm64, x86_64). This pattern matches the execution chain commonly associated with ClickFix-based AMOS malware distribution, where users are tricked into pasting commands to download and execute architecture-specific payloads.
Detects the use of download utilities (curl or wget) from terminal shells with command-line arguments containing 'force=1' and architecture-specific identifiers (e.g., arm64, x86_64). This pattern matches the execution chain commonly associated with ClickFix-based AMOS malware distribution, where users are tricked into pasting commands to download and execute architecture-specific payloads.
Detects potential misuse of the WinGet configuration feature, where remote Desired State Configuration (DSC) YAML files are retrieved using masqueraded file extensions (e.g., .jpg or .txt) or suspicious outbound connections on port 8443, which may indicate an adversary attempting to hide malicious configurations or bypass network filtering.
Detects execution of PowerShell with bypassed execution policy used to download or copy files from remote locations using curl.exe and Copy-Item. This pattern is commonly associated with file staging or retrieving malicious payloads from external URLs, including specific paths.
This rule detects suspicious PowerShell activity including the use of PowerShell to invoke 'curl.exe' for data transfer or the creation of randomly named executables (6-10 characters) within the 'AppData\Local\Temp' directory, which is a common indicator of file staging or malware execution.
IOC hunt for the HEAVYGRAM/CRUDEEXCLUDE campaign: matches known SHA256 file hashes (first-stage malware, implant, RAR/ZIP artefacts) via DeviceFileEvents and DeviceProcessEvents, plus known-malicious domains/staging infrastructure by parsed hostname across network connections, process command lines, and file origin URLs.
Detects unauthorized child processes spawned by ScreenConnect client binaries. The rule specifically looks for files created or modified within 60 seconds prior to execution, which is indicative of attackers leveraging an authentication bypass vulnerability (CVE-2026-84869) to transfer and execute malicious payloads via an active remote access session without requiring additional user interaction or authentication.
This rule monitors network, file, and process telemetry for matches against a predefined list of malicious IP addresses, domain names, and file hashes. It flags suspicious network connections to known C2 infrastructure and the presence or execution of known malicious files based on SHA256 and SHA1 indicators.
This rule monitors network, file, and process telemetry for matches against a predefined list of malicious IP addresses, domain names, and file hashes. It flags suspicious network connections to known C2 infrastructure and the presence or execution of known malicious files based on SHA256 and SHA1 indicators.
Detects network activity associated with Mirage2FA Adversary-in-the-Middle (AiTM) phishing infrastructure. The rules monitor for HTTP responses containing specific spoofed Microsoft 365 sign-in page content, DNS resolutions for known proxy-associated domain suffixes, and client requests fetching malicious loader scripts from suspected AiTM hosting infrastructure.
Detects execution of curl piping to a shell interpreter (bash, zsh, sh) initiated directly from macOS Terminal or iTerm2. This pattern is characteristic of ClickFix-style social engineering attacks, where a user is prompted to copy and paste a malicious command into their terminal, which then downloads and executes a secondary stage, such as the Atomic macOS (AMOS) stealer.
This rule detects a multi-stage malicious behavior chain: the execution of a suspected loader (identified by hash or specific mutex), followed by network communication to a known C2 domain or IP, and concluded by the placement of a file in the Windows Telemetry folder (typically mimicking msedge.exe). The events are correlated within a short time window (2 hours between each stage) on the same device.
Detects instances where rundll32.exe is used to execute a DLL file directly from a remote WebDAV-mounted network path (indicated by the 'DavWWWRoot' string). This technique allows for the execution of arbitrary code without writing the malicious payload to the local disk, a common tactic seen in fileless malware delivery and campaigns like ClearFake.
Detects outbound HTTP requests where the user-agent starts with 'PHP/' and the URI contains the path for the Admin Menu Editor Pro plugin, suggesting communication between a trojanized WordPress plugin and a remote command-and-control server.
Detects suspicious PowerShell commands involving node.js, hidden window styles, and file downloads or transfers.
Detects the GHAPPIER loader identified across 65 public npm/GitHub repositories and 22 developer accounts, based on its embedded remote-fetch/eval pattern and campaign markers
Detects the execution of PowerShell with hidden window style attempting to download Node.js related files (e.g., .msi or node.exe) from nodejs.org using common download cmdlets or utilities.
Detects the Kimsuky APT-C-55 'Stella_Gary' attack chain, where PowerShell is used to download a JavaScript verification script from an external C2 (InfinityFree), followed by the execution of that script via cscript.exe in temporary directories. This behavior is used to bypass anti-bot mechanisms and retrieve secondary payloads from hardcoded C2 infrastructure.
This rule monitors DeviceNetworkEvents for outbound network connections to a list of known malicious IP addresses associated with various C2 frameworks and malware families, as identified by threat intelligence feeds (e.g., ThreatFox). Identifying these connections helps detect potential C2 communication and ingress tool transfer.
Detects network communication with known malicious domains and IP addresses, as well as the presence of known malicious file hashes on the system. The rule correlates network connection events, file creation events, and process creation events against predefined lists of C2 infrastructure and malware indicators.
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