Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects file access, creation, modification, or renaming operations involving sensitive files associated with cryptocurrency wallets (Bitcoin, Electrum, ElectrumSV), game account configurations (Battle.net, Steam, Minecraft), and browser-based cookies (Roblox). The rule filters out legitimate process interactions, identifying suspicious activity from unknown or unauthorized applications potentially attempting to exfiltrate credentials or session tokens.
Detects attempts to access or create copies of the Active Directory 'ntds.dit' database or the Windows Security Account Manager (SAM) registry hive using unauthorized processes. Attackers often target these files to extract credential hashes from Domain Controllers or local systems.
Detects anomalous credential retrieval activity occurring within 30 minutes of a GitLab Duo Chat GraphQL subscription request. This pattern is indicative of potential exploitation of CVE-2026-87719, which involves insecure deserialization within the GitLab EE GraphQL subscription serializer to facilitate unauthorized credential access.
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 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 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 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 the execution of the Rubeus.exe utility with command-line arguments indicative of Kerberos-related credential harvesting and abuse, such as Kerberoasting, AS-REP Roasting, and Pass-the-Ticket attacks.
Detects network connections to known JeetBot infrastructure domains and IP addresses. The rule specifically identifies potential exfiltration of Twitch OAuth tokens via URL parameters or interaction with known token-collection proxy endpoints, which are associated with the JeetBot/Twitch Enhanced Viewer credential harvesting campaign.
Detects network connections to known JeetBot infrastructure domains and IP addresses. The rule specifically identifies potential exfiltration of Twitch OAuth tokens via URL parameters or interaction with known token-collection proxy endpoints, which are associated with the JeetBot/Twitch Enhanced Viewer credential harvesting campaign.
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 access and data retrieval attempts from a MinIO object storage instance using default administration credentials (minioadmin:minioadmin). The rule monitors both command-line execution of MinIO client (mc) operations and network connections to MinIO service ports (9000/9001) that involve the use of the default credential pair.
This rule detects potential credential dumping attempts targeting the Local Security Authority Subsystem Service (LSASS) process. It identifies suspicious file execution based on a blocklist of known credential dumping utility hashes, unauthorized OpenProcess calls to lsass.exe with specific access rights, and the creation of process memory dump files (e.g., .dmp, .dump) correlated with an lsass.exe access event.
This rule detects potential credential dumping attempts targeting the Local Security Authority Subsystem Service (LSASS) process. It identifies suspicious file execution based on a blocklist of known credential dumping utility hashes, unauthorized OpenProcess calls to lsass.exe with specific access rights, and the creation of process memory dump files (e.g., .dmp, .dump) correlated with an lsass.exe access event.
This rule detects instances where a Kerberos Service Ticket (TGS, Event ID 4769) is requested without a corresponding TGT request (AS-REQ, Event ID 4768) from the same user and IP address within a 10-hour window. This behavior is indicative of potential Kerberoasting, where an attacker may have obtained TGS tickets using cached or manually constructed credentials rather than through the normal authentication flow.
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 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.
No description available.
Detects unauthorized processes accessing sensitive web browser files (login data, cookies, local state) from suspicious or non-standard paths. This is a common behavioral pattern for infostealers attempting to exfiltrate user credentials and browser session tokens.
This rule detects potentially unauthorized access or large-scale extraction of sensitive RADIUS server configuration and credential databases. It monitors for common database management tools and commands used in conjunction with RADIUS-specific paths, particularly when executed by unexpected processes, during off-hours, or in a manner indicative of bulk data export.
This rule detects potentially unauthorized access or large-scale extraction of sensitive RADIUS server configuration and credential databases. It monitors for common database management tools and commands used in conjunction with RADIUS-specific paths, particularly when executed by unexpected processes, during off-hours, or in a manner indicative of bulk data export.
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