Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects unauthorized processes attempting to read browser-stored sensitive files, such as 'Login Data' (credentials) and 'Cookies' (session tokens) for Google Chrome and Microsoft Edge. This activity is a common indicator of credential dumping by information stealers like StealC.
Detects unauthorized processes attempting to access sensitive browser files, specifically 'Login Data' (credentials) and 'Network/Cookies' databases for Google Chrome and Microsoft Edge. Legitimate browser processes and update services are explicitly excluded.
Detects instances where sensitive Active Directory database files (NTDS.DIT) are accessed, correlated with the execution of common system administration utilities (ntdsutil, vssadmin, diskshadow, esentutl) known to be leveraged by adversaries to create volume shadow copies or extract data for offline credential harvesting.
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 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 anomalous reuse of an authenticated Microsoft 365 session cookie shortly after a successful MFA-satisfied sign-in. The detection identifies scenarios where the subsequent access originates from a different IP address, device, or user agent without an intervening MFA challenge, which is a pattern indicative of session hijacking techniques like Adversary-in-the-Middle (AiTM) or session token replay.
Detects unauthorized attempts to dump the process memory of the Local Security Authority Subsystem Service (LSASS), a common technique used by attackers to harvest credentials from memory. This includes the use of legitimate diagnostic tools like procdump and comsvcs.dll, as well as the identification of resulting dump files in directory paths associated with LSASS.
Detects processes other than the official Telegram desktop client accessing sensitive local data files ('key_datas', 'settingss', 'usertag') within the Telegram application directory. This activity is often associated with credential theft or session hijacking.
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 anomalous authentication behavior where a user account utilizes the same authentication session (LogonId) or material to authenticate across multiple distinct destination hosts in a short timeframe. This rule monitors for both NTLM (Type 3) and Kerberos (TGS/TGT) events, which are indicative of lateral movement techniques such as Pass-the-Hash or Pass-the-Ticket.
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.
This rule monitors for high-volume, suspicious activity involving the enumeration of sensitive cloud resources across multiple Azure services (e.g., Kubernetes cluster secrets, KeyVault secrets, Backup vault items, and DataFactory/Web connections). An alert is triggered when a single identity performs a high number of operations across multiple distinct resource types within a one-hour window, which is indicative of credential harvesting or cloud reconnaissance.
Detects credential harvesting behavior originating from known malicious RubyGems packages (pwnp999, exfiltestwand3, hacksvn1778554764) observed in RubyDoc.info build environments. The rule monitors process execution and file access activity involving these packages where the command line or file path includes patterns associated with credential theft (e.g., 'api_key', 'Authorization'), scoped to Ruby-related tooling such as 'ruby', 'gem', or 'bundle'.
Detects credential harvesting behavior originating from known malicious RubyGems packages (pwnp999, exfiltestwand3, hacksvn1778554764) observed in RubyDoc.info build environments. The rule monitors process execution and file access activity involving these packages where the command line or file path includes patterns associated with credential theft (e.g., 'api_key', 'Authorization'), scoped to Ruby-related tooling such as 'ruby', 'gem', or 'bundle'.
Detects a suspicious sequence of events within JFrog Artifactory where an account accesses sensitive code-signing material (rubygems/gemspec/signing keys) and subsequently performs administrative actions (user addition/role assignment/privilege escalation) within a one-hour window, indicating potential account takeover or exploitation.
Detects a suspicious sequence of events within JFrog Artifactory where an account accesses sensitive code-signing material (rubygems/gemspec/signing keys) and subsequently performs administrative actions (user addition/role assignment/privilege escalation) within a one-hour window, indicating potential account takeover or exploitation.
This rule detects a suspicious sequence of activities indicative of potential lateral movement and credential access. It identifies the execution of PsExec (PSEXESVC.exe) in conjunction with volume shadow copy manipulation (vssadmin, wmic, or diskshadow to create or delete shadow copies) within a 30-minute window. It further correlates this activity with potential lateral movement commands (e.g., net.exe, query.exe, nslookup.exe) to assess the severity of the incident.
This rule detects a suspicious sequence of activities indicative of potential lateral movement and credential access. It identifies the execution of PsExec (PSEXESVC.exe) in conjunction with volume shadow copy manipulation (vssadmin, wmic, or diskshadow to create or delete shadow copies) within a 30-minute window. It further correlates this activity with potential lateral movement commands (e.g., net.exe, query.exe, nslookup.exe) to assess the severity of the incident.
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 application data files such as browser cookies, local state, or data stored by applications like Discord, Telegram, and Steam, which are frequent targets for credential-stealing malware.
Detects unauthorized processes attempting to access sensitive application data files such as browser cookies, local state, or data stored by applications like Discord, Telegram, and Steam, which are frequent targets for credential-stealing malware.
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