Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects unauthorized npm package publish events or file uploads associated with compromised maintainer accounts (czirker, llxlr) and specific malicious packages linked to the Miasma Mini Shai-Hulud supply chain attack.
Detects specific malicious activity patterns associated with the Miasma/Mini Shai-Hulud campaign targeting GitHub repositories. The rule monitors for unauthorized workflow creation, specific suspicious commit messages, and the use of orphan branches that impersonate dependabot or mimic specific campaign indicators.
Phishing-as-a-Service kit abusing OAuth device code flow against Microsoft 365
This rule detects when a user or administrator grants consent to an Azure AD or Office 365 application for permissions that provide significant access to mail, files, contacts, or directory data. This activity is a common vector for illicit OAuth consent attacks, where adversaries gain persistent access to sensitive data without requiring direct user credentials.
Detects anomalous or suspicious behavior from Microsoft 365 Copilot agents, plugins, or sessions. This includes bulk access to files containing sensitive keywords, unauthorized export or sharing of sensitivity-labeled documents, and high-volume Microsoft Graph API read activity targeting sensitive paths in SharePoint or OneDrive.
This rule detects potentially compromised accounts by correlating successful device code authentication events that exhibit anomalous characteristics (such as first-time usage, high/medium risk scores, or non-compliant/unmanaged device status) with highly sensitive Azure AD/Graph API administrative operations occurring within 30 minutes of the sign-in.
Detects MFA fatigue attacks where a user receives more than 10 MFA push denials within a 10-minute window, followed immediately by a successful authentication from a different IP address. This behavior is indicative of an adversary bombarding a user with push notifications until they are approved, followed by account takeover.
This rule detects potentially compromised accounts by correlating successful device code authentication events that exhibit anomalous characteristics (such as first-time usage, high/medium risk scores, or non-compliant/unmanaged device status) with highly sensitive Azure AD/Graph API administrative operations occurring within 30 minutes of the sign-in.
Detects Entra ID guest (B2B) users performing a sign-in from a previously unseen IP address or country (observed over the last 30 days), followed within a 4-hour window by sensitive file operations in SharePoint, OneDrive, or Teams (e.g., file downloads, exports, or sensitivity label changes). This pattern is indicative of potential account takeover or unauthorized access to sensitive corporate data.
Detects a sequence of events within a 30-minute window for a single user, specifically capturing MFA configuration changes (reset/enrollment), authentication, and device registration, occurring outside of typical business hours (20:00 - 06:00). This behavioral pattern is often indicative of an adversary establishing persistence or account takeover after gaining access to a valid account.
Detects suspicious activity within GitHub Actions, identifying potential exfiltration or malicious automation by correlating signals such as masquerading actors (e.g., bots like dependabot), specific IronWorm-associated commit message patterns, usage of secrets-related JSON expressions in logs, and the use of innocuous file names for artifact uploads.
This rule detects potential exploitation attempts against ServiceNow instances by monitoring network and DNS activity involving a known malicious IP address (51.159.98.241). It identifies high-volume connections or DNS requests related to service-now.com associated with this IP, which may indicate an attacker attempting to leverage unauthenticated Scripted REST resources.
Detects unauthorized, unauthenticated API activity targeting the ServiceNow 'related_list_edit' Scripted REST resource. The rule specifically alerts on requests originating from the 'Guest' account or where authentication requirements have been disabled, which are known indicators of exploitation.
Detects anomalous, unauthenticated access to API endpoints commonly associated with table enumeration, often targeting ServiceNow interfaces or similar REST APIs. The rule monitors for a high volume of unique API paths or tables requested by a single IP address without an authorization token present, as well as tracking access from known malicious IP addresses.
This rule detects potential mass emailing or spam activity by identifying instances where a single email account sends more than 100 emails within a one-minute window. This behavior is often characteristic of compromised accounts performing phishing campaigns or bulk unauthorized communication.
Detects a suspicious spike in Microsoft Teams external meeting or chat invitations directed at a single user within a 30-minute window. This behavior is consistent with UNC6692 tactics, where attackers impersonate internal IT helpdesk staff via Teams to perform vishing and social engineering attacks.
Detects the transmission of potential sensitive information, such as passwords, tokens, API keys, or private keys, within Microsoft Teams chat messages by matching message content against a regular expression pattern for common credential formats.
Detects outbound proxy traffic originating from identified AI and automation agent user-agents (e.g., ChatGPT, Perplexity, Claude, etc.) attempting to access sensitive URI paths, such as credential files, SSH keys, configuration files, or cloud-hosted secrets. This may indicate an attempt to exfiltrate sensitive data to or through AI platforms.
Detects when an actor searches Slack audit logs, which could indicate an attacker attempting to understand logging capabilities or evade detection. Also detects bulk session resets initiated by an administrator, which may be a response to an account takeover or an attacker attempting to evict legitimate users from their sessions.
Detects programmatic file downloads from SharePoint and OneDrive using automation tools like PowerShell, PnP, Graph SDK, Python, Node.js, or generic CLI tools (curl, wget) rather than typical browser access. This can indicate data exfiltration.
Detects anomalous activities targeting SaaS CRM applications (Salesforce, Microsoft Dynamics 365, HubSpot), including high-volume bulk exports, off-hours access, mass API queries for sensitive objects, and suspicious OAuth token grants.
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