Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects processes accessing or files being interacted with that are known to contain sensitive information, including API keys, credential files, database configurations, and cryptocurrency wallets. It monitors command-line activity for utilities like python, bash, and grep interacting with sensitive strings, and tracks file system access to sensitive paths.
Detects instances where a user successfully authenticates using the OAuth 2.0 device code flow, and the resulting token is subsequently used from a different IP address or by a different client application, indicating potential token theft or session hijacking.
This rule monitors for a collection of adversarial behaviors on Windows systems, including persistence mechanisms via scheduled tasks and registry run keys, tampering with security services (VSS, Windows Defender), credential harvesting attempts (LSASS memory), log and history clearing, and external network communication to known IP geolocation services.
Detects unauthorized directory replication requests (DRSGetNCChanges or DRSReplicaSync) originating from a host that is not identified as a Domain Controller. This behavior is indicative of a DCSync attack, where an adversary impersonates a domain controller to extract credential hashes from the Active Directory database.
Detects unauthorized directory replication requests (DRSGetNCChanges or DRSReplicaSync) originating from a host that is not identified as a Domain Controller. This behavior is indicative of a DCSync attack, where an adversary impersonates a domain controller to extract credential hashes from the Active Directory database.
Detects unauthorized access to Discord's Local Storage leveldb files, a technique commonly used by malware like LxBaseRAT to extract Discord authentication tokens.
Detects PowerShell script activity that leverages low-level Windows API calls, such as SetWindowsHookEx and GetAsyncKeyState, which are frequently used by the LxBaseRAT malware to implement keylogging functionality by monitoring user keystrokes.
Detects instances where browser processes or related credential files are accessed or targeted by process termination (e.g., taskkill.exe) followed by attempts to access sensitive files like Login Data, logins.json, or key4.db. This pattern is indicative of credential theft from web browsers.
Detects unauthorized cloud authentication attempts in Azure AD where a session token appears to have been replayed. The rule identifies sign-ins flagged by Identity Protection as anomalous or involving token/issuer irregularities, particularly when these occur without a fresh MFA challenge, suggesting a bypass of standard authentication controls.
Detects instances where a single proxy service API key or account is used from an abnormally high number of distinct IP addresses within a short timeframe. This behavior is indicative of credential theft and unauthorized sharing or exploitation of proxy credentials by third-party actors.
Detects a sequence of activity where an anonymous AWS token is requested via a specific API path, followed within 15 minutes by a token minting call from the same source IP. This behavior is indicative of a token-theft or privilege escalation chain.
Detects the presence of Atomic macOS Stealer (AMOS) binaries and their associated malicious behaviors. The rule identifies suspicious artifacts including password prompt requests using osascript to deceive users, attempts to access keychain and browser credential databases, and the use of curl piping to remote shell execution which is a common delivery vector for this malware family.
Detects unauthorized processes (non-browser applications) creating, modifying, or renaming sensitive browser data files such as Login Data, Cookies, or local state files within standard browser profile directories. This activity is indicative of credential harvesting or session hijacking attempts by malicious software.
Detects unauthorized processes (non-browser applications) creating, modifying, or renaming sensitive browser data files such as Login Data, Cookies, or local state files within standard browser profile directories. This activity is indicative of credential harvesting or session hijacking attempts by malicious software.
Detects unauthorized processes (non-browser applications) creating, modifying, or renaming sensitive browser data files such as Login Data, Cookies, or local state files within standard browser profile directories. This activity is indicative of credential harvesting or session hijacking attempts by malicious software.
Detects unauthorized processes (non-browser applications) creating, modifying, or renaming sensitive browser data files such as Login Data, Cookies, or local state files within standard browser profile directories. This activity is indicative of credential harvesting or session hijacking attempts by malicious software.
Detects coordinated behavioral signals associated with the CVE-2025-25249 campaign, which deploys the PivotC2 Node.js RAT on FortiGate devices. The rule correlates anomalous inbound CAPWAP (UDP/5246) traffic, Node.js process execution, suspicious JavaScript file writes, and unauthorized access to Fortinet configuration files, followed by long-lived outbound TLS beacons to non-standard ports.
Detects the 'Comet.exe' process, associated with the Perplexity Comet AI agent, accessing sensitive system files or configuration directories outside its expected scope. This pattern of file interaction is characteristic of unauthorized data collection or exfiltration attempts, specifically linked to the BragJack threat activity.
Detects high-frequency creation and revocation of service principal credentials, indicating potential malicious credential cycling, or unusual bursts of service account JWT/refresh token rotation across multiple IP addresses, which may indicate an attempt to evade detection or maintain persistence.
Detects access to sensitive credential stores (KeePass databases, Firefox logins, SSH keys, VPN configuration files) by suspicious processes, specifically those associated with potential credential harvesting tools or unauthorized update binaries.
Detects unauthorized processes attempting to access sensitive browser data files, specifically 'Login Data' (passwords) and 'Cookies' for Google Chrome and Microsoft Edge. The rule excludes the browser applications themselves and their update processes to minimize noise.
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