Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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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.
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 identifies potential activity related to the Kothamine malware by monitoring for specific file hashes associated with the malware in process and file execution events, as well as network connections to a specific malicious GitHub repository path used for payload delivery.
Detects suspicious child processes such as shell interpreters, download utilities, and base64-decoded commands spawned from core Citrix NetScaler processes (nsppe, httpd, aoacli, nscli). This pattern is often indicative of post-exploitation command execution following an exploitation of remote code execution (RCE) vulnerabilities.
Detects wscript.exe or cscript.exe executing a VBScript that uses MSXML2.XMLHTTP and ADODB.Stream to download a file in chunks (using the Range header) to a temporary or AppData location. This technique is often used by malware to evade detection by downloading payloads in smaller pieces.
This rule detects the execution or presence of specific Go or Terraform modules known to be malicious or associated with suspicious dependency retrieval. It monitors command-line activity from terraform.exe/go.exe attempting to download/run from these paths, as well as file system events involving these specific folder paths and filenames.
This rule detects potential post-compromise activity related to a campaign using MSP360-masqueraded installers and ScreenConnect remote access tools. It performs an IOC sweep across device file events for known malicious file hashes (associated with installers and post-compromise utilities) and device network events for connections to known malicious domains used for command and control.
This rule monitors for known malicious file hashes, command and control (C2) domains, and specific download URLs associated with identified threats. It correlates these indicators across process execution, file activity, and network connection logs to identify potential compromises or malicious activity related to the aware-cr1 infrastructure.
This rule detects HTTP GET requests to a specific IP address (62.60.226.185) attempting to download a file named 't0907.exe'. This pattern is associated with the delivery phase of the 2CLoader malware.
This rule detects known-malicious activity associated with Warlock ransomware and the ToolShell malware campaign (linked to Storm-2603). It monitors for process, file, and image-load events matching identified malicious file hashes, as well as network connection attempts to known malicious domains and URLs. It also includes monitoring for traffic to 'oastify.com', a domain commonly used for Burp Collaborator, which requires correlation with other indicators to confirm malicious intent.
This rule detects known-malicious activity associated with Warlock ransomware and the ToolShell malware campaign (linked to Storm-2603). It monitors for process, file, and image-load events matching identified malicious file hashes, as well as network connection attempts to known malicious domains and URLs. It also includes monitoring for traffic to 'oastify.com', a domain commonly used for Burp Collaborator, which requires correlation with other indicators to confirm malicious intent.
Detects the execution of PowerShell with encoded command arguments (e.g., -enc, -EncodedCommand) combined with common web-request cmdlets or download-cradle patterns (e.g., IEX, Net.WebClient, Invoke-WebRequest). This pattern is frequently used by adversaries to execute obfuscated remote payloads in memory.
This rule monitors for indicators of compromise (IOCs) associated with the Lunex Malware-as-a-Service (MaaS) campaign. It aggregates telemetry from file creation, process execution, and network connections to identify the presence of known malicious hashes, C2 IP addresses, phishing-related domains, and specific payload URLs.
This rule detects potentially malicious command execution patterns in Linux environments, specifically targeting Node.js processes performing in-memory evaluation of code (often associated with fileless loaders) or the downloading of files with the .enc extension using common utilities like curl or wget, which may indicate C2 payload retrieval.
Detects instances where the Windows Terminal application (or related processes like OpenConsole) spawns suspicious command-line utilities such as PowerShell, CMD, curl, or certutil with indicators of potential download activity or command-line obfuscation. This pattern is often indicative of interactive adversary activity attempting to stage tools or execute payloads.
The following analytic detects file downloads involving executable, archive, or scripting-related file types that are commonly used in malware delivery.
These file types include formats like PE executables, shell scripts, autorun files, installers, and known testing samples such as EICAR.
This detection leverages Cisco Secure Firewall Threat Defense logs and enriches the results using a filetype lookup to provide context.
If confirmed malicious, these downloads could indicate the initial infection vector, malware staging, or scripting abuse.
These file types include formats like PE executables, shell scripts, autorun files, installers, and known testing samples such as EICAR.
This detection leverages Cisco Secure Firewall Threat Defense logs and enriches the results using a filetype lookup to provide context.
If confirmed malicious, these downloads could indicate the initial infection vector, malware staging, or scripting abuse.
This rule detects PowerShell processes initiated with command-line arguments that indicate obfuscation (e.g., -enc, -encodedCommand) or attempts to download or execute external content (e.g., IEX, Net.WebClient, Invoke-WebRequest). This pattern is commonly observed during the initial execution of malicious payloads or tool delivery.
Detects the downloading of Android application packages (.apk) from potentially untrusted or non-official third-party portals, which are often used in smishing or malvertising campaigns to deliver malicious applications to user devices.
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