Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects phishing emails that utilize document-themed subjects (e.g., invoices, shared documents) containing Windows Internet Shortcut (.url) attachments that redirect users to Cloudflare Workers-based 'docviewer' pages, often linked in conjunction with suspicious SharePoint file shares.
This rule detects interactive or user-triggered execution of PowerShell carrying indicators of payload downloading, inline evaluation, or Base64 encoding. Because explorer.exe is the parent process, it typically signifies a payload delivered via email/web that a user opened directly such as an .lnk shortcut.
This rule detects interactive or user-triggered execution of PowerShell carrying indicators of payload downloading, inline evaluation, or Base64 encoding. Because explorer.exe is the parent process, it typically signifies a payload delivered via email/web that a user opened directly such as an .lnk shortcut.
This rule detects a multi-stage phishing attack sequence: it correlates the receipt of an invoice-themed email containing an anonymous SharePoint link with the subsequent local creation of a Windows Internet Shortcut (.url) file, followed by a Microsoft OAuth device-code authentication sign-in attempt by the user within a short timeframe. This behavior is indicative of an adversary tricking a user into downloading a malicious shortcut that facilitates OAuth device code phishing.
This rule detects the execution of a malicious PowerShell command chain initiated by explorer.exe, consistent with the PlugX malware infection sequence. The detection monitors for specific command-line arguments, including the use of curl for file downloads, tar for extraction, and the launching of associated malicious executables like 'GRrte.exe' following the execution of a shortcut file named 'OIC_Invitation_General_Official.lnk'.
Detects the use of WinRAR to open or extract password-protected ZIP archives containing 'Setup_File' in the filename, immediately followed by the execution of a file extracted into a WinRAR temporary directory. This behavior is associated with the OnyxC2 delivery chain, where attackers use password-protected archives to bypass security scanning.
This rule detects network communication with known malicious infrastructure (C2 IPs and URLs), presence of malicious files identified by SHA256 hashes on disk, and execution of known malicious files. It also correlates these activities with specific operator email addresses involved in the malicious campaign.
This rule detects network communication with known malicious infrastructure (C2 IPs and URLs), presence of malicious files identified by SHA256 hashes on disk, and execution of known malicious files. It also correlates these activities with specific operator email addresses involved in the malicious campaign.
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.
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.
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.
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 network connections to known ChatGPT Custom GPT ClickFix campaign infrastructure (IPs and URLs) as reported by Huntress. This rule covers the network_connection logsource only. Domain/DNS matching is covered by a separate dns_query rule, and file-hash matching is covered by a separate process_creation rule, as Sigma only supports one logsource per rule.
Detects network connections to known ChatGPT Custom GPT ClickFix campaign infrastructure (IPs and URLs) as reported by Huntress. This rule covers the network_connection logsource only. Domain/DNS matching is covered by a separate dns_query rule, and file-hash matching is covered by a separate process_creation rule, as Sigma only supports one logsource per rule.
Detects network connections to known ChatGPT Custom GPT ClickFix campaign infrastructure (IPs and URLs) as reported by Huntress. This rule covers the network_connection logsource only. Domain/DNS matching is covered by a separate dns_query rule, and file-hash matching is covered by a separate process_creation rule, as Sigma only supports one logsource per rule.
This rule monitors for execution of suspicious files or processes and network communication associated with known malicious indicators (hashes, domains, and IP addresses) typically used by specific threat actors for command and control (C2) and payload delivery.
This rule detects malicious .lnk files typically delivered as email attachments (spearphishing). It identifies shortcuts that execute cmd.exe with the /k switch, combined with environment variable substring expansion techniques designed to obfuscate multi-stage command execution chains.
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.
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.
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 a multi-stage infection chain associated with RedFlick, involving the delivery of VHDX files or PDF attachments. The rule correlates malicious activities such as SSH-based tool download (using PermitLocalCommand), PowerShell-based PDF decoding/extraction, PowerShell VHDX disk mounting, and silent MSI installation from remote URLs. It monitors for these activities within user-writable directories like Downloads or Temp.
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