Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects a suspected device code phishing (GhostCode) attack where a user authenticates via a device code flow, followed within 10 minutes by a non-interactive authentication request originating from a client utilizing the 'python-requests' user agent. This pattern is indicative of an adversary abusing a stolen device token to gain access to cloud resources.
This rule detects successful device-code authorization logins to Azure AD that originate from a country or region not previously associated with the user. It evaluates the user's historical sign-in locations to establish a baseline and flags deviations, which may indicate account compromise via device-code phishing or MFA bypass attempts.
This rule detects activities associated with the GhostCode phishing kit, which leverages a device-code phishing flow. It identifies malicious URLs interacting with harvester APIs to retrieve codes, email-delivered lures containing specific phishing markers ('userCodeDisplay', 'Verified Enterprise'), and corresponding endpoint/browser telemetry showing the rendered phishing page elements.
Detects anomalous device registration or Intune enrollment activity where a single user principal name (UPN) is associated with three or more distinct source IP addresses performing registration actions within a 90-second window. This behavior is indicative of automated, rapid rogue device registration campaigns aiming to bypass conditional access policies or establish unauthorized persistence.
Detects interaction with known infrastructure associated with the PREY-0058 campaign, which utilizes Adversary-in-the-Middle (AiTM) phishing lures mimicking passkey or MFA registration pages to target Microsoft 365 and other SaaS applications.
This rule detects email activity involving DocuSign-themed messages that contain attachments and also coincide with URL click events that redirect users to Microsoft-related login portals (e.g., login.microsoftonline.com or teams.microsoft.com) containing 'redirect' or 'redirect_uri' parameters. This behavior is indicative of a phishing attempt designed to capture credentials or perform OAuth consent phishing by mimicking legitimate document-signing workflows.
Detects active phishing threat-intelligence indicators whose domain name uses one of the disposable TLDs observed across IronToll's 73+ rotating lookalike domains (.cfd, .sbs, .icu, .buzz, etc.). Scoped to the structured ThreatType classification only — dropped the free-text 'Description has phishing' fallback, since KQL's 'has' is a substring/token match with no negation awareness (e.g. a description stating an indicator is 'not related to phishing' would still match), which could pull in indicators unrelated to actual phishing activity.
This rule identifies potentially compromised Entra ID accounts by correlating multiple suspicious behaviors within a 14-day window. It aggregates four specific indicators: successful authentication following repeated MFA failures, impossible travel (sign-ins from multiple countries within a short timeframe), unusual hour logons (00:00-05:00), and sign-ins flagged with medium/high risk or reported as compromised. The rule triggers when an account exhibits two or more of these distinct anomalous behaviors.
Detects anomalous serialized object payloads within authenticated GraphQL subscription requests to GitLab Duo Chat endpoints. This pattern is indicative of exploitation attempts targeting the insecure deserialization vulnerability in GitLab EE (CVE-2026-87719), where malicious payloads are injected into serialized data streams.
Detects multiple successful GitLab authentication events from a specific source IP that contain parameters indicating an attempt to skip or bypass two-factor authentication, consistent with known GitLab 2FA bypass vulnerabilities.
Detects administrator-privileged actions in JFrog Artifactory audit logs attributed to the 'token:anonymous' identity, the tell-tale signature left when CVE-2026-42018 (unauthenticated token retrieval) is chained with CVE-2026-42016 (privilege escalation) to mint an admin-scope token that retains the anonymous username. Also relevant to CVE-2026-82329 authentication bypass activity.
Detects anomalous cloud authentication events occurring within a 3-hour window after suspected unauthorized access to sensitive configuration or credential files on a Vite development server. The rule flags sign-ins with high risk, anomalous location, or missing device compliance information, excluding trusted corporate locations and devices, serving as an indicator of potential post-exfiltration account takeover.
Detects anomalous, non-interactive sign-in activity in Microsoft 365 that suggests session cookie replay (Pass-the-Cookie). The rule correlates successful, MFA-validated interactive sign-ins against subsequent, non-interactive sign-ins that lack MFA, occur from a different device and IP address within a short time window, and bypass standard interactive re-authentication.
Detects a high volume of subscription or account confirmation emails directed at a single recipient within a one-hour window. This behavior, often referred to as 'email bombing,' can be used to disrupt user productivity, overwhelm inbox capacity, or serve as a distraction technique to hide other malicious activities, such as spearphishing or account takeover notifications.
Detects anomalous data access or collection activity across multiple M365 workloads (SharePoint, OneDrive, Exchange). The rule identifies users exhibiting high volumes of file or mail access across at least two distinct workloads within a one-hour window, which may indicate account compromise, bulk data exfiltration, or unauthorized persistence via mailbox rules.
This rule correlates successful Microsoft 365 sign-in events with preceding network events involving identified NovaCookies AiTM phishing infrastructure (specifically targeting .vu domains or specific URL patterns). It triggers when a user successfully authenticates using MFA shortly after accessing a known phishing link, which is a strong indicator of an active AiTM session hijacking attempt.
Detects a sequence of events starting with a device code OAuth sign-in, followed within two hours by the creation or modification of inbox rules and high-frequency enumeration of email items (contacts, folders, messages, threads, people) via Microsoft Graph API. This behavior is indicative of post-compromise activity where an adversary uses OAuth device code grants to maintain access and subsequently automates inbox analysis or data harvesting.
Detects potential session replay or cookie theft attacks against Google Workspace accounts. The rule identifies anomalous session activity where a single session ID is associated with multiple country codes within a short timeframe (less than 60 minutes), suggesting that a stolen session token is being used by an adversary in a different location than the legitimate user.
Detects Microsoft 365 sign-in events where a session token is reused without a fresh MFA challenge, originating from known residential proxy service providers. This behavior is indicative of threat actors using stolen session tokens (Session Replay) to bypass MFA protections.
Detects anomalous GitLab project enumeration where an account performs an excessive number of requests to the Projects API using the 'membership=true' parameter within a one-hour window. This behavior is indicative of an attacker attempting to discover all accessible repositories associated with a compromised or over-privileged GitLab token.
Detects GitLab CI/CD pipeline configuration (.gitlab-ci.yml) that sets job artifacts to 'untracked: true' with 'when: always', which publishes every untracked file as a downloadable CI artifact -- the exact misconfiguration that exposed the leaked GitLab token in the GnuTLS incident.
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