Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule performs an indicator of compromise (IOC) sweep for activities associated with the TOPHIT / VHX Harvester / @prime0 NPM typosquatting campaign. It detects known malicious C2 network connections (IPs and URLs), file artifacts (hashes) on endpoints, and suspicious email activity involving specific operator email addresses.
This rule performs an indicator of compromise (IOC) sweep for activities associated with the TOPHIT / VHX Harvester / @prime0 NPM typosquatting campaign. It detects known malicious C2 network connections (IPs and URLs), file artifacts (hashes) on endpoints, and suspicious email activity involving specific operator email addresses.
Hunts telemetry for published NeedyMantis indicators: three known SHA-256 hashes (WinSparkle.dll first-stage loader and its encrypted archive, plus the older libcurl archive), the C2 domain corp.tripswithengine[.]com, and the C2 URL path /library/zip/ on that domain. Domain/URL matching parses the actual host out of RemoteUrl and requires an EXACT match (not substring 'has/contains'), so a different domain that merely contains 'corp.tripswithengine.com' as a suffix of a longer label (e.g. 'notcorp.tripswithengine.com') or as a prefix of an unrelated domain (e.g. 'corp.tripswithengine.com.evil.net') cannot match. No malicious IP address has been published for this campaign, so IP-based matching is intentionally not included.
Detects a specific multi-stage exfiltration pattern characterized by initial reconnaissance/fingerprinting probes against sensitive service endpoints (/health, /docs, /openapi.json) followed by unauthorized access to artifact storage endpoints (/files or /file?name=) from the same device against the same host within a short timeframe.
Detects a specific multi-stage exfiltration pattern characterized by initial reconnaissance/fingerprinting probes against sensitive service endpoints (/health, /docs, /openapi.json) followed by unauthorized access to artifact storage endpoints (/files or /file?name=) from the same device against the same host within a short timeframe.
Detects the anomalous behavior of a Node.js process acting as a typosquatting agent. The detection identifies a node.exe process initiating a network connection to a known malicious C2 IP and port, followed by the termination of that same process within 45 seconds. This pattern is consistent with the agent crashing due to an unhandled exception (e.g., os.userInfo() failure) after beaconing.
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 node.exe processes initiating network connections to specific C2-related URI patterns commonly associated with ChainScript-style remote script loading. This behavior indicates an agent process retrieving attacker-supplied JavaScript code for execution via vm.runInNewContext, or establishing unauthorized C2 communication channels.
Detects unauthorized file deletion activity performed directly by a Node.js process acting as a ChainScript RAT. The RAT uses a bundled node.exe process, operating within specific masquerading directories in the user profile, to execute file system operations such as recursive deletion without spawning child processes.
Detects the modification or creation of the registry key '.mollis' within Software\Classes, which is used by the Star Blizzard (RedFlick) CPL downloader to store an encrypted AES key. This activity is performed by common Windows processes such as control.exe, rundll32.exe, or regsvr32.exe.
This rule detects potential malicious activity where a file (in this case, a PDF) is downloaded using curl via conhost, followed shortly by a PowerShell command that searches the file for a specific marker ("cAB") and decodes/executes embedded Base64 content. This pattern aligns with known TTPs observed in Star Blizzard (COLDRIVER) campaigns.
This rule detects potentially malicious PowerShell command execution originating from a Windows Remote Management (WinRM) process (wsmprovhost.exe). It monitors for child processes of wsmprovhost.exe launching powershell.exe or pwsh.exe combined with indicators of obfuscated command-line arguments, such as encoded commands, base64 strings, or common bypass/evasion parameters like IEX or -NoProfile.
Detects the creation or writing of executable binary files (e.g., .exe, .dll, .bat, .ps1, .vbs, .scr) to sensitive Windows administrative shares (ADMIN$, C$, IPC$) via SMB. This behavior is indicative of lateral movement where an attacker attempts to stage tools or scripts on a remote system for subsequent execution.
Detects Active Directory replication requests (GetNCChanges) directed at a Domain Controller. This is identified by monitoring Windows Event ID 4662 for specific Directory Service Object GUIDs associated with replication rights. The rule attempts to filter out legitimate traffic from other Domain Controllers by excluding machine accounts ending in the '$' character.
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 instances where common scripting or development language runtimes (Go, Node.js, WScript, CScript) access sensitive configuration or credential files, such as AWS credentials, Kubernetes configs, SSH keys, or environment files. This activity is often indicative of credential harvesting or unauthorized access to sensitive secrets by potentially malicious scripts or processes.
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 a suspected ClickFix-style delivery mechanism where a user visits suspicious domains mimicking legitimate CLI tools (e.g., Gemini, Claude) via web browsers. The detection correlates this initial network access with subsequent suspicious Windows RunMRU activity and the spawning of shell processes (powershell.exe, cmd.exe) from explorer.exe using encoded or download-oriented command line arguments within a 5-minute window.
This rule detects potential Browser-in-the-Browser (BitB) phishing attacks by identifying suspicious browser pop-up behavior (using window.open flags, hidden address/toolbars) on non-identity-provider domains, followed shortly by credential submission patterns on the same device. This pattern mimics legitimate OAuth or SSO windows to harvest user credentials.
Detects autonomous behavior where AI-driven processes attempt multiple network connections (SMB, SSH, HTTP, RDP, WinRM) to diverse targets following failed access attempts. The rule correlates initial failure activity with subsequent credential-related events and new lateral movement traffic from the same agent process within a short window, suggesting adaptive adversary pivoting.
Detects potential supply chain or local configuration tampering involving the Model Context Protocol (MCP). The rule identifies modification of common MCP configuration files, followed by the execution of a tool runner (node, python, npx) that spawns a scripting shell, which subsequently initiates an unusual outbound network connection.
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