Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects various activities associated with the AppSuite PDF Editor backdoor, a trojanized application with extensive backdoor capabilities. This rule looks for specific command-line execution, persistence mechanisms, and network communications.
This analytic detects suspicious use of 'mshta.exe' or 'rundll32.exe' invoking 'mshtml.dll' or the 'RunHTMLApplication' export without including a direct HTTP/HTTPS URL in the command line. This pattern could be associated with obfuscated script execution used by threat actors during initial access or payload staging. The absence of a visible URL may indicate attempts to evade static detections by embedding the URL via string concatenation, encoding (e.g., hex), or indirect script loaders like 'GetObject()'.
This analytic detects oversized Cisco Smart Install (SMI) protocol messages by inspecting traffic to TCP port 4786 within the Network_Traffic data model. Abnormally large SMI payloads have been associated with exploitation and protocol abuse (e.g., CVE-2018-0171; activity reported by the "Static Tundra" threat actor). Monitoring message sizes over time can help identify possible attempts at remote code execution, denial of service, or reconnaissance against Cisco devices exposing Smart Install.
This analytic detects network traffic to TCP port 4786, which is used by the Cisco Smart Install protocol. Smart Install is a plug-and-play configuration and image-management feature that helps customers to deploy Cisco switches. This protocol has been exploited via CVE-2018-0171, a vulnerability that allows unauthenticated remote attackers to execute arbitrary code or cause denial of service conditions. Recently, Cisco Talos reported that a Russian state-sponsored threat actor called "Static Tundra" has been actively exploiting this vulnerability to compromise unpatched and end-of-life network devices. Monitoring for traffic to this port can help identify potential exploitation attempts or unauthorized Smart Install activity.
The analytic detects the Windows InstallUtil.exe binary making a remote network connection. This activity is significant because InstallUtil.exe can be exploited to download and execute malicious code, bypassing application control mechanisms. If confirmed malicious, an attacker could achieve code execution, potentially leading to further system compromise, data exfiltration, or lateral movement within the network. Analysts should review the parent process, network connections, and any associated file modifications to determine the legitimacy of this activity.
This analytic detects suspicious use of `rundll32.exe` in combination with `mshtml.dll` and the export `RunHTMLApplication`. This behavior is often observed in malware to execute JavaScript or VBScript in memory, enabling payload staging or bypassing script execution policies and bypassing the usage of the "mshta.exe" binary. The detection leverages Cisco Network Visibility Module telemetry which offers network flow activity along with process information such as command-line arguments. If confirmed malicious, this activity may indicate initial access or payload download.
The following analytic detects DNS queries initiated by the Windows AI Platform to domains associated with Hugging Face, a popular provider of machine learning models and services. Monitoring for such DNS requests is important because it can reveal when systems are reaching out to external AI platforms, which may indicate the use of third-party AI resources or the transfer of sensitive data outside the organization’s environment. Detecting these queries helps organizations enforce data governance policies, prevent unapproved use of external AI services, and maintain visibility into potential data exfiltration risks. Proactive monitoring ensures better control over AI model usage and organizational data flows.
Detects activity related to the PromptLock ransomware, which leverages the Ollama AI API and is written in Go. This rule looks for network connections to the Ollama service (port 11434) and related process executions, specifically identifying processes like go.exe, curl.exe, wget.exe, python.exe, powershell.exe making connections or processes with 'ollama' in their command line.
Detects processes associated with AI Waifu RAT or common Living-off-the-Land Binaries (LOLBins) making network connections to localhost. This behavior is indicative of the AI Waifu RAT's C2 and staging mechanisms, which use local ports for command execution and payload delivery.
Detects hard IoCs and activity associated with a trojanized installer of Velociraptor incident response tool making callbacks to C2 domains from workers[.]dev and tunneling with Visual Studio Code (code.exe). The detection looks for the creation of hard IoCs from this malicious Velociraptor installer V2.msi, followed by network connections to known C2 domains and the execution of related processes, including PowerShell (with support for detecting encoded commands to install code.exe) and msiexec activity tied to malicious domains.
This rule detects indicators of compromise (IOCs) associated with the 'ManualFinder/PDF Editor' malware campaign. It identifies malicious activity across multiple data sources, including file hashes, process hashes, suspicious certificate signers, suspicious company names in version info, suspicious file descriptions, malicious command execution, and network connections to known command and control (C2) or malicious PDF-related domains. The rule leverages external data sources for IOCs such as file hashes, C2 domains, PDF-related domains, suspicious signers, and malicious commands. It also includes static IOCs like specific file descriptions and company names. The detection logic is designed to identify various stages of the malware's activity, from initial execution to network communication.
Detects attempts to exploit the Citrix NetScaler RCE vulnerability (CVE-2025-7775) by identifying a specific POST request to a vulnerable endpoint, followed by a GET request to verify code execution.
This detection identifies network connections to domains that may be impersonating ConnectWise or ScreenConnect for credential harvesting purposes. The logic is based on tactics observed in the MCTO3030 campaign which used domains with specific country-code TLDs or generic "connectwise" and "screenconnect" themes.
Detects network requests to common IP geolocation services, such as 'ip-api.com/json'. This is a known anti-analysis technique used by malware, including a loader associated with the Silver Fox APT group, to determine if it is running in a research or sandbox environment by checking the public IP address, ISP, and organization.
This detection identifies suspicious use of wreply or redirect_uri parameters in ADFS or Microsoft login URLs. Attackers can abuse these parameters to redirect users to non-Microsoft domains after authentication, a technique commonly referred to as ADFSjacking.
Detects network traffic to a list of known domains that are related to TamperedChef - PDF Editor.exe - C2 traffic.
This rule detects the creation of a process using 'ssh.exe' with command-line arguments indicative of remote port forwarding. Specifically, it looks for the '-R' flag, which is used to specify remote port forwarding in SSH. This activity can be used by adversaries for command and control or lateral movement by tunneling network communications.
Detects a specific, outdated Internet Explorer user-agent string used by the UpCrypter malware for C2 communications. This User-Agent string is highly specific and outdated, making legitimate use extremely unlikely in modern environments.
Detects when a single Autonomous System Number (ASN) is associated with multiple organization names within a short time frame. This could indicate a rebranding or transfer of network blocks to evade sanctions or scrutiny, as seen with the Stark Industries threat activity enabler.
Detects various techniques, procedures, and indicators associated with the RustyPages macOS malware dropper, including persistence, defense evasion, payload download, and known IOCs. This rule specifically looks for the use of `curl` to download a hidden file, `launchctl` to establish persistence, `chmod` to make the payload executable, `xattr` to clear extended attributes, `pgrep` to discover security tools, shell commands to silence notifications, C2 domain/IP connections, and known malware file hashes.
The following analytic detects processes attempting to connect to known IP check web services. This behavior is identified using Sysmon EventCode 22 logs, specifically monitoring DNS queries to services like "wtfismyip.com" and "ipinfo.io". This activity is significant as it is commonly used by malware, such as Trickbot, for reconnaissance to determine the infected machine's IP address. If confirmed malicious, this could allow attackers to gather network information, aiding in further attacks or lateral movement within the network.
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