Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
956 detections
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Detects instances where processes other than the primary web browsers (Chrome, Brave, Firefox) create, rename, or modify sensitive browser data files like 'Cookies' or 'Login Data'. This behavior is indicative of credential theft or data exfiltration attempts where an adversary is accessing browser-stored information.
Detects the initialization of PostgreSQL logical replication slots using uncommon or unrecognized output plugins. Attackers may leverage logical replication plugins to exfiltrate data from a database by streaming changes as they occur, which can be an alternative to traditional mass-export techniques.
Detects processes that access sensitive browser credential or cookie files (e.g., Login Data, Cookies) followed by network activity within a 10-minute window, which is a common behavior pattern of information-stealing malware such as Amatera or ACR Stealer.
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).
This rule detects potentially unauthorized access or attempts to copy sensitive SSH keys (e.g., id_rsa, id_ed25519) by command-line utilities (such as cat, cp, tar, scp, or curl) or when triggered by automation-related process names like 'terraform'. It monitors both process command lines and file events to identify staging or exfiltration activities.
Detects processes that access sensitive browser credential or cookie files (e.g., Login Data, Cookies) followed by network activity within a 10-minute window, which is a common behavior pattern of information-stealing malware such as Amatera or ACR Stealer.
Detects access to Firefox profile database files (cookies.sqlite, places.sqlite, permissions.sqlite) by suspicious processes that are masquerading as legitimate system maintenance or update utilities. This rule specifically targets known masquerading process names (UpdateAssistant.exe, AppUpdateHelper.exe, SysMaintenance.exe) while excluding the legitimate firefox.exe process and its installation directory.
Detects access to Firefox profile database files (cookies.sqlite, places.sqlite, permissions.sqlite) by suspicious processes that are masquerading as legitimate system maintenance or update utilities. This rule specifically targets known masquerading process names (UpdateAssistant.exe, AppUpdateHelper.exe, SysMaintenance.exe) while excluding the legitimate firefox.exe process and its installation directory.
Detects the initialization of PostgreSQL logical replication slots using uncommon or unrecognized output plugins. Attackers may leverage logical replication plugins to exfiltrate data from a database by streaming changes as they occur, which can be an alternative to traditional mass-export techniques.
Detects the initialization of PostgreSQL logical replication slots using uncommon or unrecognized output plugins. Attackers may leverage logical replication plugins to exfiltrate data from a database by streaming changes as they occur, which can be an alternative to traditional mass-export techniques.
This rule detects suspicious activity involving common web browser credential files (Cookies, Login Data) being read, created, modified, or renamed by processes associated with iCloud synchronization paths on macOS. This behavior is indicative of potentially malicious processes attempting to exfiltrate browser-stored session information or credentials.
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 bulk file enumeration/access across multiple users' virtual desktop profile shares via a compromised root DFS drive, which CISA's red team used to read local files of all users regardless of active session.
This rule detects common command-line utilities (cat, bash, sh, python, grep) being used to access the '/proc/1/environ' file. This file contains environment variables for the PID 1 process (typically the init system), which may include sensitive information such as credentials, configuration paths, or system secrets.
Detects instances where processes other than the primary web browsers (Chrome, Brave, Firefox) create, rename, or modify sensitive browser data files like 'Cookies' or 'Login Data'. This behavior is indicative of credential theft or data exfiltration attempts where an adversary is accessing browser-stored information.
Detects access to SQL developer tool configuration files (connections.json, product-preferences.xml) followed by a decryption utility, used by CISA's red team to recover cleartext database credentials from a targeted workstation.
This rule detects suspicious activity involving common web browser credential files (Cookies, Login Data) being read, created, modified, or renamed by processes associated with iCloud synchronization paths on macOS. This behavior is indicative of potentially malicious processes attempting to exfiltrate browser-stored session information or credentials.
This rule detects suspicious activity involving common web browser credential files (Cookies, Login Data) being read, created, modified, or renamed by processes associated with iCloud synchronization paths on macOS. This behavior is indicative of potentially malicious processes attempting to exfiltrate browser-stored session information or credentials.
MacSync Stealer (formerly known as Mac.c) is a macOS information stealer offered as a Malware-as-a-Service (MaaS). On May 5, 2026, researchers identified a new C2 domain (jacksonvillemma[.]com) delivering the malware's Stage 2 loader. Notably, this new infrastructure was active just days after the operator's previous C2 domain was publicly exposed, highlighting the threat actor's agility in rotating their delivery architecture.
Detects unauthorized processes accessing browser credential databases (e.g., 'Login Data') used by Google Chrome, Brave, and Microsoft Edge. This activity is a common indicator of credential theft by malicious software.
Detection rule for a specific Rust-based Windows x64 backdoor known as C2Looper. The rule uses file hashes, debug strings, hardcoded configuration files/paths, and specific C2 API endpoints to identify the malware presence.
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