Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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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 an attempt to exploit CVE-2026-42018 in JFrog Artifactory, where an attacker bypasses authentication checks for the AWS token endpoint using a trailing-slash URL manipulation technique. This rule monitors for POST requests to the '/access/api/v1/aws/token/' endpoint.
Detects a single user account downloading or accessing a high volume of files (more than 50) within a 15-minute window from SharePoint or OneDrive. This behavior often indicates automated data collection, potential mass exfiltration, or a compromised user account account accessing sensitive files in bulk.
This rule monitors for various types of events (user logons, network connections, API audits, cloud app events, and email traffic) originating from a specific CIDR block (160.79.104.0/21), which is flagged as suspicious or unauthorized.
Detects anomalous, high-frequency access to LinkedIn 'about' pages, which may indicate reconnaissance activity or attempts to gather sensitive organizational information by an adversary. The rule uses threshold-based aggregation to filter out standard search engine crawlers and identify potentially malicious scanning behavior.
This rule identifies successful user sign-in events specifically targeted at Microsoft's management portals (myaccount.microsoft.com and mysignins.microsoft.com). It aggregates these events by user, tracking the frequency, timeframe, and originating IP addresses for successful access. This monitoring is useful for detecting abnormal access to identity settings, which could indicate credential abuse or unauthorized account management.
Detects user sign-ins using the OAuth 2.0 Device Code authentication flow in Entra ID. This flow, designed for input-constrained devices, is frequently abused by attackers in 'Device Code Phishing' (or ARToken) campaigns to steal session tokens and bypass MFA by tricking users into authorizing a malicious application via a web portal.
Detects suspicious Entra ID device registration and Primary Refresh Token (PRT) issuance occurring shortly after an OAuth Device Code sign-in. This pattern is indicative of ARToken-style post-compromise persistence, where an attacker leverages a stolen device code to register a rogue device and establish a persistent session.
Detects outbound email replies concerning invoices or payments sent by a user shortly after performing a device-code authentication flow, indicative of an ARTSender proxy attack where the attacker hijacks an existing email conversation to conduct Business Email Compromise (BEC).
Detects anomalous device-code authentication attempts from multiple distinct users originating from known ARToken PhaaS platform egress IP addresses within a 3-day window. This behavior is indicative of a bulk token-capture operation, where an attacker leverages an Adversary-in-the-Middle (AiTM) phishing framework to harvest credentials and session tokens from multiple users.
Detects Microsoft 365 MailItemsAccessed events where the email subject or body contains finance-related keywords such as 'invoice', 'payment', 'bank details', or 'wire'. This activity may indicate malicious mailbox scanning or data collection, often associated with unauthorized access or automated enumeration tools like the ARToken Inbox Monitor.
Detects automated mailbox access operations such as 'MailItemsAccessed' or 'Search-Mailbox' that are filtered by specific, high-risk financial or Business Email Compromise (BEC) keywords in the email subject line. This behavior is indicative of an automated 'inbox-monitor' style attack, where a compromised OAuth token is used to systematically scrape mailboxes for sensitive financial data.
Detects artifacts, domains, and web content associated with the Rapuncel MaaS phishing campaign. The rule specifically targets HTML/JS markers from fake LastPass Authenticator GitHub Pages sites, which employ social-engineering tactics such as fake trust badges and malicious download prompts to distribute the Rapuncel infostealer.
Detects multiple anomalous sign-in events using the device-code authentication flow within an Entra ID tenant. The rule correlates sign-ins from geographically disparate IP addresses (often associated with known attacker infrastructure or proxies) using device-code flows, which is a technique used in 'ARToken' style phishing campaigns to compromise multiple user accounts in a short timeframe.
Detects changes to Keycloak realm configurations that enable the 'Forgot password' (resetPasswordAllowed) setting. This specific configuration change is associated with temporary mitigation strategies for CVE-2026-18963 on known-vulnerable versions of Keycloak.
Detects anomalous unauthenticated password reset requests targeting the Keycloak reset-credentials endpoint. The rule monitors for high-volume password reset attempts from single source IP addresses, specifically flagging those that target common administrative usernames or attempt to reset passwords across multiple distinct user accounts, which may indicate exploitation attempts (e.g., CVE-2026-18963).
Detects potential Business Email Compromise (BEC) related to 'Phantom Deal' fraud. The rule identifies email threads where a user receives an urgent request for proof of payment (MT103/UETR) within 72 hours of an email discussion involving both wire transfer/payment keywords and M&A/deal context.
Detects HTTP GET requests to the GitLab project repository commits API that contain path traversal sequences ('../' or encoded variations). This behavior is characteristic of exploitation attempts targeting vulnerabilities that allow unauthorized file access or directory traversal within the GitLab environment.
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.
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