Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
40,045 detections
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Detects execution of Electron or Node.js processes attempting to export Telegram sessions, specifically targeting execution paths often used for staging or temporary storage (Temp, Roaming, ProgramData, Public folders).
Detects unauthorized processes (e.g., cmd.exe, powershell.exe, node.exe) accessing sensitive web browser files like 'Login Data' or 'Cookies' in common browser directories. This behavior is indicative of credential theft or data exfiltration attempts.
Detects the execution of PowerShell commands that utilize base64-encoded strings, window style arguments for obfuscation, and subsequent decoding to reveal suspicious indicators such as network downloading commands or archive manipulation, indicative of potential fileless malware staging.
Detects the execution of PowerShell commands that utilize base64-encoded strings, window style arguments for obfuscation, and subsequent decoding to reveal suspicious indicators such as network downloading commands or archive manipulation, indicative of potential fileless malware staging.
Monitors Active Directory Certificate Services (AD CS) for an unusual volume of certificate requests from a single requester within a short timeframe. This behavior is indicative of enumeration or exploitation activity by tools such as Certify or Certipy, which often perform rapid certificate requests to identify vulnerable templates or request certificates for unauthorized identities.
Detects anomalous outbound network connections from the Grafana MCP (Model Context Protocol) server process to internal private IP address ranges. The rule compares current network activity against a 14-day baseline to filter out known data sources, identifying potentially unauthorized lateral movement or internal network probing via server-side request forgery (SSRF) vulnerabilities.
Detects execution patterns associated with 'NinjaMare' style malware, where a process masquerading as a browser (e.g., tenbrowser.exe, fireflybrowser.exe) performs an external IP geolocation lookup followed by suspicious registry or file modifications indicative of browser hijacking or extension installation within a five-minute window.
This rule detects network connections and DNS queries associated with the QTFY proxy infrastructure, including specific domains, known proxy management system IPs, and suspicious IP ranges. This behavior is indicative of command and control (C2) activity utilizing proxy services to obfuscate traffic.
This rule detects network connections and DNS queries associated with the QTFY proxy infrastructure, including specific domains, known proxy management system IPs, and suspicious IP ranges. This behavior is indicative of command and control (C2) activity utilizing proxy services to obfuscate traffic.
This rule detects network connections and DNS queries associated with the QTFY proxy infrastructure, including specific domains, known proxy management system IPs, and suspicious IP ranges. This behavior is indicative of command and control (C2) activity utilizing proxy services to obfuscate traffic.
The detection rule identifies network connections to 'dauntingmoon.online' specifically hitting '/api/verification/init' or '/api/verification/check' paths. It validates that both 'session' and 'link_id' query parameters are present in the request. This pattern is indicative of a specific adversary beaconing or command and control (C2) callback mechanism involving session-based authentication or handshake steps with a remote server.
The detection rule identifies network connections to 'dauntingmoon.online' specifically hitting '/api/verification/init' or '/api/verification/check' paths. It validates that both 'session' and 'link_id' query parameters are present in the request. This pattern is indicative of a specific adversary beaconing or command and control (C2) callback mechanism involving session-based authentication or handshake steps with a remote server.
This rule detects attempts by users to disable or clear command line history logs for shell environments, including PowerShell (e.g., modifying PSReadLine history) and Unix-like shells (e.g., unset HISTFILE, setting HISTSIZE to 0, or disabling history collection). Such actions are frequently performed by adversaries to hinder incident response and forensic analysis by obscuring their post-exploitation activity.
This rule detects attempts by users to disable or clear command line history logs for shell environments, including PowerShell (e.g., modifying PSReadLine history) and Unix-like shells (e.g., unset HISTFILE, setting HISTSIZE to 0, or disabling history collection). Such actions are frequently performed by adversaries to hinder incident response and forensic analysis by obscuring their post-exploitation activity.
Detects the disabling of host-based firewalls (Windows Filtering Platform/Advanced Firewall, iptables, or nftables) via command-line tools. The rule excludes common management tools, system accounts, and events where the firewall is re-enabled within a short timeframe, effectively filtering for potentially unauthorized attempts to impair security defenses.
This rule detects unauthorized modifications to sensitive Windows registry keys related to SCHANNEL ciphers, protocols, or FIPS algorithm policies. It specifically identifies when these security settings are weakened (e.g., enabling insecure algorithms or disabling security defaults) by interactive users rather than authorized system processes or configuration management tools like Intune or SCCM.
This rule detects unauthorized modifications to sensitive Windows registry keys related to SCHANNEL ciphers, protocols, or FIPS algorithm policies. It specifically identifies when these security settings are weakened (e.g., enabling insecure algorithms or disabling security defaults) by interactive users rather than authorized system processes or configuration management tools like Intune or SCCM.
This rule detects unauthorized modifications to sensitive Windows registry keys related to SCHANNEL ciphers, protocols, or FIPS algorithm policies. It specifically identifies when these security settings are weakened (e.g., enabling insecure algorithms or disabling security defaults) by interactive users rather than authorized system processes or configuration management tools like Intune or SCCM.
Detects command-line execution of tools (route, netsh, sysctl) intended to modify host routing tables or enable IP forwarding. Such activity on workstation endpoints may indicate an attempt to bridge network segments, bypass network security boundaries, or facilitate lateral movement/C2 communications.
This rule detects modifications to Group Policy Objects (GPO) or Microsoft Entra (formerly Azure AD) policies that weaken established security controls. For GPO, it monitors Event ID 5136 for changes to security-relevant attributes (e.g., disabling firewall or real-time monitoring) in Active Directory. For Entra, it monitors audit logs for administrative operations that reduce security posture, such as disabling MFA, lowering authentication trust, or deleting Conditional Access policies. It includes filters to exclude legitimate, documented change management activities.
This rule detects modifications to Group Policy Objects (GPO) or Microsoft Entra (formerly Azure AD) policies that weaken established security controls. For GPO, it monitors Event ID 5136 for changes to security-relevant attributes (e.g., disabling firewall or real-time monitoring) in Active Directory. For Entra, it monitors audit logs for administrative operations that reduce security posture, such as disabling MFA, lowering authentication trust, or deleting Conditional Access policies. It includes filters to exclude legitimate, documented change management activities.
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