Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects suspicious NTLM network or remote interactive logon activity. It specifically looks for multiple distinct accounts logging in from the same device and remote IP address within a one-hour window, using NTLM authentication via NtLmSsp or Seclogon processes. This pattern can indicate credential stuffing, NTLM relay attacks, or other forms of credential misuse.
This rule detects high-volume access to Azure Key Vault secrets, keys, or certificates within a one-hour window. It specifically looks for successful read operations on secrets, keys, and certificates, as well as modifications to access policies. A high volume (more than 10 accesses) from a single caller within an hour is flagged as potential credential harvesting.
GitHub CLI Token Extraction
Cortex XDR
Detects the execution of `gh auth token` which is used by the Shai-Hulud malware to steal the active GitHub Personal Access Token (PAT). This rule specifically looks for the `gh.exe` or `gh` process executing with command-line arguments containing both "auth" and "token".
Detects the __DAEMONIZED=1 environment variable marker used by the vpmdhaj npm supply chain campaign (Mini Shai-Hulud) to spawn a detached credential-harvesting payload during npm install. This marker prevents re-entry when payload.bin is re-launched on subsequent require() calls. Microsoft explicitly recommends this detection, noting that the exact string __DAEMONIZED=1 has no legitimate npm ecosystem use, leading to near-zero false positives.
This rule detects HTTP responses that contain content indicative of a survey lure page used for information gathering. It specifically looks for the presence of keywords such as 'survey', 'name', 'email', and 'company' within the HTTP response body, suggesting an attempt to collect personal or organizational information.
MFA OTP Phishing Page Detected
Suricata
This rule detects potential MFA OTP phishing pages by inspecting HTTP URIs for the presence of both 'verify' and 'otp' keywords, case-insensitively. This combination in a URI is indicative of a page designed to trick users into submitting their One-Time Passwords (OTPs) for multi-factor authentication.
This rule detects a password spraying attack targeting LDAP services. It triggers an alert if there are 50 or more TCP connections to port 389 (LDAP) on the home network within a 60-second window, originating from the same destination IP address. This pattern is indicative of an attacker attempting to authenticate with a small set of passwords against many accounts.
This rule detects potential GitHub token theft or abuse activity by identifying GitHub tokens that are used from an unusually high number of distinct IP addresses or for an unusually high number of uses within a one-hour window. Specifically, it looks for tokens with more than 5 uses and more than 2 distinct IP addresses in an hour. This behavior could indicate that a compromised token is being used by an attacker from multiple locations or in an automated fashion.
This rule detects the execution of known credential dumping tools, Mimikatz and ProcDump, when specific command-line arguments associated with credential extraction from LSASS are used. It specifically looks for `mimikatz.exe` or `procdump.exe` combined with arguments like `sekurlsa`, `logonpasswords`, or `-ma` which are commonly used to dump credentials from memory.
Detects inbound emails containing Mailchimp click-tracking links that redirect to ActiveCampaign landing pages, a known ESP chaining technique used to obscure credential harvesters. This technique is often used in phishing campaigns to bypass email security controls.
Identifies suspicious token authorizations for the Google Chrome OAuth client. Tycoon 2FA operators frequently use this specific client and scope to proxy authentications and capture session cookies. In a complete attack sequence, this event occurs within a 1-second window alongside a login_success and a device registration event.
Detects Node.js or Bun processes accessing sensitive developer configuration directories such as .ssh and .npmrc, indicating potential credential harvesting. This rule specifically looks for file access or open events initiated by 'node.exe', 'node', 'bun.exe', or 'bun' processes targeting paths containing '.ssh' or '.npmrc', or files named '.npmrc'.
This rule detects suspicious activity related to OpenSSL or certificate manipulation by identifying processes that execute commands containing 'openssl' or 'certificate' keywords. It aggregates these activities by computer and account within one-hour bins and flags if three or more such activities occur, which could indicate credential access attempts or system misconfiguration.
Identifies node.js or npm processes attempting to access known credential stores or execute credential dumping utilities, which may indicate the presence of the Miasma credential-stealing worm.
Detects attempts to read common HashiCorp Vault token paths from the filesystem, indicating potential credential harvesting by malware like Miasma stealer.
Detects suspicious activity involving multiple password resets for different users initiated by a single user within a one-hour timeframe in Azure AD. This could indicate an attacker attempting to gain control over multiple accounts.
This rule detects when a user account assigns a 'Global Administrator' or 'Owner' role from multiple distinct IP addresses within a one-hour window. This behavior can indicate a compromised account being used to escalate privileges or establish persistence from different locations.
Detects ServiceAccount-based enumeration of sensitive Kubernetes resources. This rule identifies when a Kubernetes ServiceAccount performs a high volume of 'get', 'list', or 'watch' operations on sensitive resources such as secrets, pods, nodes, namespaces, or other role-related resources. It specifically flags activity with 'secrets' as high severity.
Detects modified PAM modules or ELF files implementing PAM backdoors for credential interception, as seen in Ebury and QLNX, whihc uses Rootkit techniques.
Detects sign-in or Microsoft Graph API activity using user-agent strings characteristic of ROADtools and similar Python-based identity-attack tooling. The rule generalizes beyond ROADtools to catch AzureHound, MicroBurst, MFASweep, GraphRunner, and similar identity attack frameworks by looking for scripting user-agents (python, requests, urllib, curl) which signal non-browser, non-app authentication that is inherently suspicious for Entra ID admin operations.
Detects suspicious Kubernetes Role-Based Access Control (RBAC) changes that grant elevated privileges, such as 'cluster-admin' roles, wildcard permissions for verbs, resources, or API groups, or direct access to secrets or service accounts. This rule monitors 'create', 'update', and 'patch' operations on roles, clusterroles, rolebindings, and clusterrolebindings within Kubernetes audit logs.
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