Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects a multi-stage process execution chain involving PowerShell: first, a script-based download of remote content, followed by in-memory reflection, and finally, suspicious memory allocation or thread manipulation within the same process context. This pattern is characteristic of fileless malware execution chains designed to evade disk-based detection.
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.
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.
Detects outbound network traffic associated with the Azazel operation, including connections to identified C2 infrastructure, open directory/upload listeners, domain-specific staging servers, and exfiltration attempts to MEGA cloud storage endpoints.
Detects a suspected ClickFix social engineering attack where a user is tricked into pasting malicious commands into Windows Terminal, leading to a PowerShell download, followed by the appearance of specific known malicious artifacts (LockScreenContentServer.exe, dui70.dll, or 1.bat) within 15 minutes on the same device.
Sweeps network connection, HTTP/proxy, file, and process telemetry for exact matches against known Cling botnet indicators: dedicated STUN C2/operator IPs, Cling MIPS loader staging URLs, and known Cling sample SHA256 hashes. Tightened to exclude broad domain-level matching on stun.l.google.com (legitimate, ubiquitous Google STUN infrastructure that Cling spoofs/abuses rather than owns) and to match payload-staging hosts only by full URL rather than bare IP, reducing false positives from shared/compromised hosting and unrelated legitimate STUN traffic.
Sweeps network connection, HTTP/proxy, file, and process telemetry for exact matches against known Cling botnet indicators: dedicated STUN C2/operator IPs, Cling MIPS loader staging URLs, and known Cling sample SHA256 hashes. Tightened to exclude broad domain-level matching on stun.l.google.com (legitimate, ubiquitous Google STUN infrastructure that Cling spoofs/abuses rather than owns) and to match payload-staging hosts only by full URL rather than bare IP, reducing false positives from shared/compromised hosting and unrelated legitimate STUN traffic.
Detects HTTP, TLS, DNS, and TCP communication with known AhsayCBS campaign infrastructure and Alibaba OSS storage buckets used for payload delivery.
Detects indicators associated with the ChatGPT Custom GPT ClickFix campaign across process, network connection, DNS, and HTTP telemetry: known malicious file hashes, C2 IP addresses, the chattypetty.com domain, and known payload-hosting URLs.
Detects a network connection handshake indicating the use of Chisel, a fast TCP/UDP tunnel over HTTP, specifically identifying potential command-and-control beaconing activity.
Detects a network connection handshake indicating the use of Chisel, a fast TCP/UDP tunnel over HTTP, specifically identifying potential command-and-control beaconing activity.
Detects a network connection handshake indicating the use of Chisel, a fast TCP/UDP tunnel over HTTP, specifically identifying potential command-and-control beaconing activity.
Detects DNS lookups and outbound network connections to known command and control (C2) and staging domains associated with the STAC4924 campaign. The rule performs strict matching on domain names to ensure that subdomains are identified while avoiding false positives from partial string matches within URLs.
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 an exploitation attempt against PoeLLM or LiteLLM MCP test/connection endpoint using a python3 stdio payload that fetches data from port 81.
This analytic detects unexpected outbound network connections initiated by known webserver processes such as `httpd.exe`, `nginx.exe`, or `tomcat.exe` to common file sharing or public content hosting services like GitHub, Discord CDN, Transfer.sh, or Pastebin.
Webservers are rarely expected to perform outbound downloads, especially to dynamic or anonymous file hosting domains. This behavior is often associated with server compromise,
where an attacker uses a reverse shell, webshell, or injected task to fetch malware or tools post-exploitation.
The detection leverages Cisco Network Visibility Module flow data, enriched with process context, to identify this highly suspicious behavior.
Webservers are rarely expected to perform outbound downloads, especially to dynamic or anonymous file hosting domains. This behavior is often associated with server compromise,
where an attacker uses a reverse shell, webshell, or injected task to fetch malware or tools post-exploitation.
The detection leverages Cisco Network Visibility Module flow data, enriched with process context, to identify this highly suspicious behavior.
The following analytic detects the use of `bitsadmin.exe` with the `transfer` parameter to download a remote object. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process and command-line telemetry. This activity is significant because `bitsadmin.exe` can be exploited to download and execute malicious files without immediate detection. If confirmed malicious, an attacker could use this technique to download and execute payloads, potentially leading to code execution, privilege escalation, or persistent access within the environment. Review parallel and child processes, especially `svchost.exe`, for associated artifacts.
The following analytic detects the use of the curl command with specific switches (-O, -sO, -ksO, --output) commonly used to download remote scripts or binaries. This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on process names and command-line arguments. This activity is significant as it may indicate an attempt to download and execute potentially malicious files, often used in initial stages of an attack. If confirmed malicious, this could lead to unauthorized code execution, enabling attackers to compromise the system further.
The following analytic detects the use of Windows Curl.exe to download
a file to a suspicious location, such as AppData, ProgramData, or Public directories.
It leverages data from Endpoint Detection and Response (EDR) agents, focusing on
command-line executions that include the -O or --output options. This activity is
significant because downloading files to these locations can indicate an attempt
to bypass security controls or establish persistence. If confirmed malicious, this
behavior could lead to unauthorized code execution, data exfiltration, or further
compromise of the system.
a file to a suspicious location, such as AppData, ProgramData, or Public directories.
It leverages data from Endpoint Detection and Response (EDR) agents, focusing on
command-line executions that include the -O or --output options. This activity is
significant because downloading files to these locations can indicate an attempt
to bypass security controls or establish persistence. If confirmed malicious, this
behavior could lead to unauthorized code execution, data exfiltration, or further
compromise of the system.
The following analytic identifies the use of Ldifde.exe, a command-line utility for creating, modifying, or deleting LDAP directory objects. This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on process execution and command-line arguments. Monitoring Ldifde.exe is significant because it can be used by attackers to manipulate directory objects, potentially leading to unauthorized changes or data exfiltration. If confirmed malicious, this activity could allow an attacker to gain control over directory services, escalate privileges, or access sensitive information within the network.
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