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Ibrahim Saud

@tektrix
IndiaCompletionist
2 followers18,458 downloads7,120 copies47 likes38,569 views

11,679 detections

Detects when a user registers a new MFA or authentication method, such as a software token or authenticator app, within one hour of a suspicious sign-in event. This pattern is commonly indicative of an adversary establishing persistence or bypassing authentication controls following account compromise via phishing or credential harvesting.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
001
Detects inbound emails impersonating IT support or helpdesk staff that utilize urgent pretexts related to passkey, MFA, or SSO updates. These lures are commonly used in phishing campaigns to direct users toward malicious authentication flows, such as AiTM or device-code phishing setups.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
001
Detects high-volume, automated file download or access activity originating from SharePoint Online, OneDrive, or Exchange Online within a 2-hour window. The rule identifies suspicious patterns involving a large number of distinct file events, potentially indicating automated scripts or tools (like python-httpx) performing mass data collection or exfiltration.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
001
Detects high-volume, automated file download or access activity originating from SharePoint Online, OneDrive, or Exchange Online within a 2-hour window. The rule identifies suspicious patterns involving a large number of distinct file events, potentially indicating automated scripts or tools (like python-httpx) performing mass data collection or exfiltration.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
001
Detects a single user account sending an unusually high volume of Microsoft Teams messages containing themes related to passkey, SSO enrollment, or security updates. This behavior is indicative of a compromised internal account being leveraged to propagate social engineering lures to other employees.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
001
Detects a suspicious sign-in sequence indicative of an Adversary-in-the-Middle (AiTM) phishing attack. The rule identifies a user attempting to sign in from an unmanaged device (triggered by Azure AD error 50074, requiring secondary authentication) followed shortly by an interruption in session persistence (triggered by error 50140) while using a browser user agent, suggesting the session is being relayed through a malicious proxy.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
001
This rule detects potential identity compromise via abuse of the OAuth device-code grant flow. It monitors for successful user logins leveraging the device code flow, which is a common indicator of AiTM (Adversary-in-the-Middle) phishing campaigns that lure users into authorizing malicious applications under pretexts like security updates or SSO re-authentication.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
001
Detects anomalous, high-frequency access to multiple distinct Microsoft Graph API endpoints (e.g., users, groups, applications) by a single user within a short timeframe, which is indicative of tenant-wide reconnaissance following identity compromise.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
001
Detects a suspicious pattern where a user registers a new PhoneAppOTP MFA method and subsequently logs in using this method after a significant time delay (exceeding 3 days). This behavior is indicative of an attacker who has gained temporary access, registered their own MFA device to ensure persistent future access, and returned later to utilize it.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
001
Detects a suspicious pattern where a user registers a new PhoneAppOTP MFA method and subsequently logs in using this method after a significant time delay (exceeding 3 days). This behavior is indicative of an attacker who has gained temporary access, registered their own MFA device to ensure persistent future access, and returned later to utilize it.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
001
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