Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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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.
Detects anomalous activity associated with information stealing malware, including unauthorized access to browser credential files (Login Data, Cookies), remote thread injection into browser processes, outbound connections to the Telegram API by non-browser processes, and rapid bulk access to multiple sensitive credential or crypto wallet files.
This rule monitors for indicators associated with MiniUpdate/MiniJunk V2 RAT and general .NET AppDomainManager hijacking. It detects suspicious registry keys (AppDomainManagerAssembly/Type) or environment variable manipulation used to hijack .NET application execution flow. Additionally, it identifies .NET host processes loading DLLs from user-writable directories (e.g., AppData, Temp) and tracks suspicious beaconing patterns to known Azure CDN domains often used by these threats for Command and Control.
Detects execution of a renamed pythonw.exe (userscreen.exe) from a suspicious location (Public\AccountPictures) that demonstrates short-lived execution characteristics indicative of a sandbox/VM evasion check, immediately followed by network connectivity to known NarwhalRAT C2 domains or pcloud infrastructure.
This rule detects network activity associated with the StealC information stealer, specifically focusing on HTTP POST requests made to known command-and-control (C2) domains. It identifies characteristic URL patterns, such as randomly generated 16-character PHP files or specific index.php structures, which are used for bot registration and communication. The detection includes patterns indicative of RC4-encrypted payloads and behavior mimicking Amadey bot status checks.
Detects FTP protocol traffic (on port 21) initiated by a process named 'squid.exe' or containing 'squid' in its filename. This rule is designed to identify potential exploitation attempts related to the Squidbleed vulnerability, where a compromised Squid proxy might be used for unauthorized FTP communications.
This rule monitors for the execution and network activity of known data exfiltration tools such as WinSCP, rclone, and MegaSync. It also tracks the creation of configuration files associated with these tools and monitors DNS requests and browser navigation to known cloud storage and file-sharing destinations. This behavior is indicative of data staging and unauthorized exfiltration.
Detects non-browser applications (Python, PowerShell, cURL, wget, node) communicating directly with OpenAI or ChatGPT API endpoints, indicative of automated AI tradecraft by threat actors. This rule specifically looks for network connections to api.openai.com initiated by these common scripting or command-line tools.
Identifies AI agents (python.exe or node.exe) making outbound GET requests where sensitive local data is extracted and appended as URL parameters for exfiltration. This rule specifically looks for URL parameters like 'q', 'data', 'context', or 'query' containing at least 50 alphanumeric characters, underscores, or hyphens, while excluding legitimate API calls to OpenAI and Anthropic.
Detects outbound network connections to major Large Language Model (LLM) API endpoints (OpenAI, Google, Anthropic) initiated by processes not explicitly identified as standard web browsers or command-line utilities. This pattern may indicate automated data exfiltration ('prompt stealing' or unauthorized access to corporate data) using custom or malicious tools executing from suspicious directories like temp, appdata, or public folders.
This rule identifies indicators of compromise associated with the DragonReturn malware and DcRAT, including malicious file names, suspicious process execution, DNS resolution of known malicious phishing domains, and network communication with documented C2 infrastructure.
Detects suspicious PowerShell activity characterized by command-line obfuscation (including BigInteger patterns) or network connections to suspicious 'photo-*.cfd' domains often associated with malicious file downloads.
This rule detects command and control (C2) communication patterns associated with the Millenium RAT malware. It identifies suspicious traffic to 'api.telegram.org' utilizing the 'getUpdates' method initiated by processes that do not identify as standard web browsers, as well as traffic directed to the known proxy relay domain '75877.mcdir.me'.
Detects network activity and DNS resolutions related to the tonapi.io domain initiated by unexpected processes. This pattern is indicative of the TONResolver RAT, which abuses TON smart contracts as a mechanism for command and control (C2).
This rule detects potentially malicious behavior associated with the DragonReturn malware, including the loading of a specific DLL (nvdaHelperRemote.dll) by system processes or Mixed Reality tools, the execution of suspicious binary names, and network connectivity indicators related to C2 domains.
Detects anomalous network traffic patterns communicating with the Telegram Bot API (api.telegram.org) from non-official Telegram processes. The rule identifies potential command and control (C2) activity by analyzing request frequency, specific API method usage (e.g., getUpdates, sendMessage), and beaconing-like behavior.
Detects potential DcRAT activity characterized by a process spawning under a svchost.exe parent, subsequent loading of GDI display libraries for screen capturing, and outbound network communication on non-standard ports, which indicates data exfiltration.
Detects network traffic using the Generic Routing Encapsulation (GRE) protocol originating from or destined to external (non-private) IP addresses. GRE is often used for tunneling and can be abused to bypass network security controls.
This rule monitors for suspicious activity associated with LegionLoader malware, specifically tracking files and processes interacting with the 'Traiolx Custom Utils' directory. It triggers on the staging of '_socket.pyd', execution of Python interpreters from this directory, and associated C2 communication attempts with the domain 'birdeemusic.com'.
Detects Python scripts or interpreters executing network connections while residing in or interacting with non-standard, potentially suspicious directories or domains. This rule specifically monitors for Python processes (python.exe, pythonw.exe) associated with 'Traiolx Custom Utils', paths within 'AppData\Roaming\python', or network interactions with 'birdeemusic.com' and a specific hardcoded IP address, which are indicative of potential beaconing or command and control activity.
Detects network requests to Google image search containing an 'imgurl' parameter, which can be used by an attacker to exfiltrate data by forcing an external service to crawl a controlled URL containing sensitive information.
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