Detections

Explore public detection logic contributed by the community across SIEM and rule languages.

149 detections

Detects Microsoft Graph API requests targeting user mailboxes within a tenant or organization structure likely associated with Israeli legal entities, identified by .co.il domain patterns in the Request URI.
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Duo Tech@duotech
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Detections.ai Community
3 months ago
005
Detects Microsoft Graph API requests targeting user mailboxes within a tenant or organization structure likely associated with Israeli legal entities, identified by .co.il domain patterns in the Request URI.
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Duo Tech@duotech
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Detections.ai Community
3 months ago
004
ARTokenC2NetworkTraffic - fully-featured phishing-as-a-service (PhaaS) operator panel, branded "ARToken," that shares infrastructure, API contracts, and operational patterns with the EvilTokens platform.
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Syed Usfar Wasim@nCD24
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Detections.ai Community
4 months ago
24054
Correlates a Microsoft 365 OAuth device-code authentication event with subsequent impact actions on the same identity (device registration/PRT setup, inbox rule creation, or PRT/sign-in activity after a password reset) within a 1-hour window. Severity escalates as more distinct impact phases co-occur on the same actor, consistent with ARToken/EvilTokens post-device-code-phishing persistence chains.
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Ethan Andrews@eandrews
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Federal Signal Detections
4 months ago
11018
This rule detects a multi-stage attack chain originating from OAuth device code phishing. It tracks the sequence of events starting from device code authentication, followed by the registration of a new device or Primary Refresh Token (PRT) manipulation, potential password resets, and the creation of malicious inbox rules (e.g., auto-forwarding). The rule correlates these events within a 1-hour window to identify malicious intent, with critical alerts triggered if persistence mechanisms survive a password reset.
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Renata Cardoso@rcardososec
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Detections.ai Community
4 months ago
2019
This rule detects a multi-stage attack chain originating from OAuth device code phishing. It tracks the sequence of events starting from device code authentication, followed by the registration of a new device or Primary Refresh Token (PRT) manipulation, potential password resets, and the creation of malicious inbox rules (e.g., auto-forwarding). The rule correlates these events within a 1-hour window to identify malicious intent, with critical alerts triggered if persistence mechanisms survive a password reset.
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Renata Cardoso@rcardososec
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Detections.ai Community
4 months ago
5115
Detects potential zero-click LLM prompt injection attacks against Microsoft 365 Copilot. The rule correlates Microsoft 365 Copilot activity involving external/untrusted URLs or domains with recent inbound email activity to the same user. This pattern is designed to identify scenarios where an attacker leverages an inbound email to trigger a Copilot interaction with malicious external content, potentially leading to unauthorized data access or exfiltration.
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Syed Usfar Wasim@nCD24
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Detections.ai Community
4 months ago
10025
This rule monitors for potential lateral phishing activity within an organization by identifying internal accounts sending high volumes of emails, correlating this with MailItemsAccessed audit events from unexpected IPs, and detecting OAuth token abuse patterns (such as granting consent or adding credentials) within the Exchange Online environment.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
5012
Detects high-risk administrative or user actions within Microsoft 365 environments that are frequently associated with adversary persistence, data exfiltration, and privilege escalation. The rule monitors for the creation or modification of inbox forwarding rules, addition of mailbox permissions, OAuth application consent grants, bulk mailbox searches, and programmatic access to mail items via EWS or Graph API.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
5010
Detects Microsoft Graph API requests that perform bulk enumeration of email messages across multiple folders. The rule specifically identifies API queries that request sender (From) and recipient (To, CC, BCC) fields, a behavior consistent with mailbox address harvesting or reconnaissance by an Address Extractor module.
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Smarth Arora@smarthxarora
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Detections.ai Community
4 months ago
001
Detects Microsoft 365 OAuth access tokens issued via device_code grant — the mechanism abused by the EvilTokens phishing kit — followed within 1 hour by mailbox forwarding rule creation for the same account, indicating persistent BEC access post-compromise.
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Ethan Andrews@eandrews
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Federal Signal Detections
4 months ago
21051
This rule detects potential post-compromise mailbox reconnaissance by correlating suspicious sign-in events (non-interactive or unmanaged device usage, often associated with AiTM token replay) with subsequent mailbox or compliance search operations targeting payroll and HR-related keywords within a 60-minute window.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
505
Detects Microsoft 365 OAuth access tokens issued via device_code grant — the mechanism abused by the EvilTokens phishing kit — followed within 1 hour by mailbox forwarding rule creation for the same account, indicating persistent BEC access post-compromise.
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nomit vyas@xoxo
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Detections.ai Community
4 months ago
4012
Detects signs of a session hijacking attack using the OAuth device code grant flow, specifically identifying the initial device code authorization followed by suspicious post-authentication activity like mass data access via Microsoft Graph API or the creation of mailbox forwarding rules.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
1010
This rule detects anomalous or risky sign-in events for user accounts that have recently configured an active out-of-office (OOF) auto-reply. An attacker may leverage a user's known absence to gain access to their email or other corporate resources using compromised credentials, as the user is less likely to notice suspicious account activity while away.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
106
This rule detects anomalous or risky sign-in events for user accounts that have recently configured an active out-of-office (OOF) auto-reply. An attacker may leverage a user's known absence to gain access to their email or other corporate resources using compromised credentials, as the user is less likely to notice suspicious account activity while away.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
206
This rule detects anomalous or risky sign-in events for user accounts that have recently configured an active out-of-office (OOF) auto-reply. An attacker may leverage a user's known absence to gain access to their email or other corporate resources using compromised credentials, as the user is less likely to notice suspicious account activity while away.
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Goksel Atakan@gokselatakan
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Detections.ai Community
4 months ago
306
Tracks the Kali365 tool iterating through the victim's inbox, performing mass mail item reads or API-driven exports of mailbox contents.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
3012
Detects a newly replayed session issuing mailbox searches for invoice, payment, password, security, or confidential terms. This rule is designed to identify suspicious activity indicative of session hijacking or credential compromise, where an attacker uses a replayed session to search for sensitive information within a mailbox or SharePoint.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
4 months ago
106
Detects unusual communication patterns from executive accounts in Office 365, specifically looking for mail activity, inbox rule creation, or mailbox modifications combined with keywords related to wire transfers, payments, or urgent financial actions. The rule flags scenarios where multiple such activities occur within a short timeframe (3 hours) or if new inbox rules are created, indicating potential deepfake/synthetic impersonation or Business Email Compromise (BEC) attempts.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
108
Detects unusual communication patterns from executive accounts in Office 365, specifically looking for mail activity, inbox rule creation, or mailbox modifications combined with keywords related to wire transfers, payments, or urgent financial actions. The rule flags scenarios where multiple such activities occur within a short timeframe (3 hours) or if new inbox rules are created, indicating potential deepfake/synthetic impersonation or Business Email Compromise (BEC) attempts.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
206
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