Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects execution chains attributed to the Gamaredon threat group (also known as Shuckworm/ACTINIUM). The rule monitors Microsoft Office applications (Word, Excel, PowerPoint, Equation Editor) spawning cmd.exe or powershell.exe, where the child process contains suspicious patterns such as base64 blobs, script download commands, or known Gamaredon Ptero-toolset strings (PteroPaste, PteroVDoor, PteroDee). This activity is correlated with a network connection to non-Microsoft infrastructure within 60 seconds of process execution.
Detects execution of PowerShell commands associated with the Gamaredon Group's Ptero malware family. This rule monitors for suspicious PowerShell command lines (including encoded commands and common obfuscation patterns) originating from Office applications or temporary directories, correlated with network connections to known Gamaredon C2 domains or registry modifications to Run keys for persistence.
Detects network activity associated with the ROOTBOY actor, specifically identifying internal devices communicating with known malicious command and control (C2) IP addresses and subsequently attempting to access specific suspicious domains or URLs linked to the actor's infrastructure.
This rule detects network connections made to specific non-standard ports (7777, 8080, 8443) where the remote URL contains substrings associated with proxy or tunneling activities ('proxy', 'tunnel', 'hide'). This behavior is commonly associated with malware attempting to evade security controls by routing traffic through unauthorized intermediaries or obfuscated tunnels.
Detects outbound network connections from 'squid.exe' to internal IP addresses on port 21 (FTP). This could indicate an attacker controlling an FTP server within the internal network, potentially exploiting a vulnerability like Squidbleed.
Detects network connections from suspicious or unexpected processes to common public webhook and automation services, which may indicate data exfiltration or automated C2 communication.
This rule detects network connections to specific domains known to be associated with malicious activity or to URLs matching a common Command and Control (C2) communication pattern. The domains 'openanyworddocument.com', 'kittyfreespace.com', 'searchdocumentsfree.com', 'autoupdatet.com', 'autoupdaters.com', and 'autoupdatethis.com' are explicitly listed as indicators. Additionally, the rule identifies C2 communication attempts via a regex pattern '/api/(init|cl)/[0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{12}' which often signifies communication with a C2 server using a specific API endpoint and a GUID-like identifier.
Detects the execution of a local, polymorphic HTML file that contains AI-obfuscated JavaScript, followed by an HTTP POST request to an external server within a 5-minute window, indicating potential credential exfiltration.
Detects a network beacon triggered strictly during model initialization. If a Python process loads a model file and immediately establishes an outbound TCP connection to an unknown IP, it indicates an embedded payload phoning home.
Detects potentially unauthorized or suspicious usage of the Jam build tool (jam.exe or jamplus.exe). The rule flags when Jam is executed by non-standard parent processes, when suspicious command-line arguments are used, when Jam spawns unexpected child processes, or when Jam initiates network connections.
This rule correlates multiple low-to-medium confidence signals across file, process, network, and registry events to detect potential ransomware activity. The rule identifies suspicious behaviors including mass file renames, creation of known ransom note file types in multiple directories, shadow copy deletion via system utilities, disabling of antivirus and security monitoring, large archive staging, unauthorized outbound network connections, and suspicious process injection. Alerts are generated based on the aggregation and frequency of these signals, indicating a high probability of ransomware-related malicious activity.
Detection rule monitoring for indicators of compromise related to SolarWinds Serv-U, including anomalous Content-Encoding headers, unexpected child process execution, large file staging indicative of data exfiltration (Cl0p-style), outbound exfiltration, SQL injection artifacts, and unauthorized LDAP/Active Directory object enumeration by the Serv-U process.
This rule monitors Cisco Unified Communications Manager (UCM) environments for multiple stages of an attack chain, including potential Server-Side Request Forgery (SSRF) attempts against administrative interfaces, suspicious file modifications by service accounts, indicators of privilege escalation, and anomalous outbound network connections from core Cisco processes.
This rule detects potentially suspicious outbound network connections or DNS queries to known Generative AI service domains (OpenAI, Anthropic, Google, Mistral, Cohere) from non-browser and non-developer processes. It also triggers on suspicious Windows binaries (e.g., PowerShell, bitsadmin, mshta) initiating external connections to these domains or other destinations over port 443, helping identify potential data exfiltration or automated abuse of LLM APIs.
PlugX NetworkIOC
YARA
Modular remote access trojan associated with long-term espionage intrusions
Infostealer distributed via fake open-source tool impersonation sites
Loader used in click-hijacking traffic distribution scheme
Supply chain worm targeting npm packages and GitHub Actions, linked to Shai-Hulud/Hades lineage
IoT botnet malware family used for DDoS and proxy infrastructure
ClickFix style social engineering cluster delivering Mistic and ModeloRAT
Lumma NetworkIOC
YARA
Infostealer-as-a-service targeting browser credentials and crypto wallets
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