Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects outbound HTTP traffic from internal hosts directed toward a known IP address identified as hosting AdaptixC2 infrastructure, specifically associated with the distribution of a trojanized 'mscopilot.exe' executable.
Detects network traffic associated with Adversary-in-the-Middle (AiTM) phishing kits that impersonate Microsoft and Google login pages. The rules identify the presence of specific HTML elements (like Cloudflare Turnstile anti-bot gates) and authentication session cookie headers served from non-authorized/non-official domains, indicating a reverse-proxy phishing attack.
This rule detects attempts to exploit the Microsoft Support Diagnostic Tool (MSDT) vulnerability CVE-2022-30190, known as 'Follina'. The rules monitor for malicious HTTP traffic and payloads that leverage the 'ms-msdt' URI scheme to execute arbitrary commands, often delivered via weaponized documents or external references to remote malicious HTML files.
Detects attempts to exploit the Log4Shell vulnerability (CVE-2021-44228) by identifying JNDI lookups (ldap, rmi, dns) via malicious strings within HTTP URI and request headers, a common attack vector for remote code execution.
Detects anomalous network traffic patterns characteristic of SectopRAT, specifically utilizing Binance Smart Chain (BSC) RPC nodes to facilitate fallback Command and Control (C2) communication. The rule monitors for POST requests to known BSC data seed domains containing 'eth_call' in the body, specifically looking for START and FINISH markers in the response body.
Detects network activity associated with the RatHat Android malware, specifically tracking device registration, log uploads to '/api/node/', and subsequent WebSocket protocol upgrades used for command-and-control communications.
Detects network exploitation attempts targeting Fortinet FortiOS and FortiProxy vulnerabilities (CVE-2024-55591, CVE-2025-24472) involving authentication bypass via HTTP header manipulation (Forwarded, X-Forwarded-For) and unauthorized access to the /jsconsole endpoint.
Detects outbound HTTP requests or TLS traffic to known C2 domains associated with APT28/UAC-0001 related to the CVE-2026-21509 campaign.
Detects network activity associated with the APT36 threat group, specifically HTTP requests for PowerShell stagers (irm/iex) from 'indiatodays.org' and TLS connections to that same domain, which is identified as a typosquat used for command and control or ingress tool transfer.
Detects incoming HTTP GET requests containing a specific URI path '/favorite_list_2x_m500_ico.jpg' associated with the Ted Backdoor, commonly used by North Korean state-sponsored threat actors including APT37, Lazarus Group, and Kimsuky for Command and Control (C2) beaconing.
Detects HTTP GET requests to raw.githubusercontent.com that include an 'Authorization: token' header, indicating the potential use of a GitHub Personal Access Token (PAT) for command and control or data exfiltration by the Kimsuky threat group.
Detects outbound HTTP GET requests to Pastebin.com with a path starting with /raw/. This pattern is commonly used by threat actors, including the Kimsuky APT group, to retrieve secondary payloads, configuration files, or malicious scripts from a public repository.
Detects anomalous HTTP GET requests to the Microsoft Teams trap-exp/tokens endpoint that do not carry the expected 'Teams' user-agent string. This pattern is indicative of the DragonForce backdoor attempting to illicitly request Skype authentication tokens.
Detects anomalous HTTP GET requests to the Microsoft Teams trap-exp/tokens endpoint that do not carry the expected 'Teams' user-agent string. This pattern is indicative of the DragonForce backdoor attempting to illicitly request Skype authentication tokens.
Detects anomalous HTTP GET requests to the Microsoft Teams trap-exp/tokens endpoint that do not carry the expected 'Teams' user-agent string. This pattern is indicative of the DragonForce backdoor attempting to illicitly request Skype authentication tokens.
Detects a multi-stage exploit chain targeting iOS Safari clients, characterized by the sequential fetching of specific JavaScript modules (platform_module.js, utility_module.js, Stage1, Stage3, and bootstrap.dylib) and subsequent callback communication to a remote server. This pattern is consistent with a browser-based exploit framework targeting iOS devices.
Detects a multi-stage exploit chain targeting iOS Safari clients, characterized by the sequential fetching of specific JavaScript modules (platform_module.js, utility_module.js, Stage1, Stage3, and bootstrap.dylib) and subsequent callback communication to a remote server. This pattern is consistent with a browser-based exploit framework targeting iOS devices.
Detects outbound HTTP POST requests destined for 'aware-cr1.com' targeting the URI '/api/beacon', which is indicative of command-and-control (C2) communication associated with the 2CLoader malware.
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 an exploitation attempt targeting the ConnectWise ScreenConnect Path Traversal vulnerability (CVE-2024-1708). The detection monitors incoming HTTP traffic for attempts to traverse the file system by inspecting the URI for repeated '..' sequences within the '/App_Extensions/' directory, a hallmark of this vulnerability.
Detects incoming HTTP POST requests to the 'diffpatch' endpoint in Gitea that contain suspicious 'diff --git' patterns combined with path traversal sequences ('../') targeting 'hooks/' directories. This indicates an attempt to exploit CVE-2026-60004 to achieve unauthorized file system access or remote code execution via repository hooks.
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