Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects potential credential theft activity by monitoring for unauthorized access to sensitive browser-related credential files (e.g., Login Data, cookies.sqlite) or direct access to the LSASS process memory by non-standard browser processes. It further correlates these events with user sign-ins on previously unknown or unassociated devices within a short timeframe to identify potential account compromise.
Detects instances where an Artifactory process or user accesses highly sensitive configuration files (system.yaml, join.key) or API endpoints containing configuration data, followed closely (within 15 minutes) by an outbound network connection to a non-standard or external destination. This pattern is indicative of a potential credential theft attempt targeting the Artifactory join key, which is used to authenticate Artifactory nodes in a cluster, followed by potential data exfiltration or C2 communication using these credentials.
Detects instances where an Artifactory process or user accesses highly sensitive configuration files (system.yaml, join.key) or API endpoints containing configuration data, followed closely (within 15 minutes) by an outbound network connection to a non-standard or external destination. This pattern is indicative of a potential credential theft attempt targeting the Artifactory join key, which is used to authenticate Artifactory nodes in a cluster, followed by potential data exfiltration or C2 communication using these credentials.
Detects instances where an Artifactory process or user accesses highly sensitive configuration files (system.yaml, join.key) or API endpoints containing configuration data, followed closely (within 15 minutes) by an outbound network connection to a non-standard or external destination. This pattern is indicative of a potential credential theft attempt targeting the Artifactory join key, which is used to authenticate Artifactory nodes in a cluster, followed by potential data exfiltration or C2 communication using these credentials.
Detects Node.js or Electron processes executing from suspicious paths (e.g., Temp, Roaming) while interacting with web browser credential files or executing commands consistent with automated credential dumping tools.
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 ERAAgent.exe (ESET Remote Administrator Agent) interacting with suspicious named pipes (e.g., mojo, spoolss) and attempts to extract credentials from command line parameters, indicating potential credential dumping or lateral movement techniques using the agent process.
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 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 a privilege escalation technique where an attacker with application management permissions adds a credential to the 'Office 365 Exchange Online' service principal (SP). The attacker then leverages the SP's 'Domain.ReadWrite.All' permission to add or modify a federated domain, allowing them to forge tokens for any hybrid user.
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.
Detects a GitLab personal access token used from multiple distinct source IPs or from IPs associated with the leaked gitlab-triage token, inconsistent with expected CI runner infrastructure.
Detects GitLab's personal_access_tokens/self endpoint being queried via GET, the reconnaissance step a leaked token uses to confirm its own scopes and privilege level.
Detects GitLab's personal_access_tokens/self endpoint being queried via GET, the reconnaissance step a leaked token uses to confirm its own scopes and privilege level.
Detects the sensitive project-wide CI/CD variable API_TOKEN being exposed to job scopes other than the gitlab-triage automation job that is its only intended consumer, expanding the blast radius of the credential.
Detects CI/CD job activity referencing shell commands that redirect the entire environment to a file (e.g. 'env > out.tmp'), the exact pattern that caused a GitLab CI job in the openconnect/ocserv project to dump secrets into a public build artifact, leaking a high-privilege personal access token with Owner access to GnuTLS and 55 other critical projects.
Detects offreg.dll (Windows Offline Registry Library) being loaded by a process running outside the standard System32/SysWOW64 directories and that is not a known Windows registry-management host process, excluding Malwarebytes' own bundled private copy of the DLL. PrettyPrague uses this library to read the SAM/LSA hive and derive boot-key material outside normal registry API paths. Scoped to the loading process's directory and identity rather than any specific PoC binary name.
Detects instances where the ESET Remote Administrator Agent (ERAAgent.exe) terminates shortly after loading the Data Protection API service (dpapisvc.dll). This pattern may indicate an attempt to interact with or disrupt DPAPI services, potentially to facilitate credential dumping or sensitive data access.
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.
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.
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.
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