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Ibrahim Saud

@tektrix
IndiaCompletionist
2 followers18,458 downloads7,120 copies47 likes38,568 views

11,679 detections

This rule detects potentially malicious, automated enumeration of Microsoft Graph API endpoints. It monitors for high volumes of requests (>= 8 within a 15-minute window) that utilize multiple OData pagination, filtering, and search parameters such as $top, $skip, $skiptoken, $count, /delta, and /search. Such activity is often indicative of automated reconnaissance, data scraping, or unauthorized bulk enumeration of cloud directory resources.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
002
Detects DNS resolution requests for graph.microsoft.com initiated by a python interpreter (python.exe, python3.exe, or pythonw.exe). This activity may indicate a script or custom tool communicating with Microsoft Graph API, which is frequently used for data collection, exfiltration, or cloud service interaction in adversarial campaigns.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
002
Detects DNS resolution requests to 'graph.microsoft.com' on endpoint devices. This is intended to act as a precursor indicator for potential Microsoft 365 or Azure environment enumeration and discovery activities, which would typically involve subsequent API calls.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
002
Detects known malicious SilverFox payloads by comparing the file hash against a list of known SHA256 signatures associated with the malware.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
002
Detects sign-in failures in Azure Active Directory specifically linked to MFA error codes 50074 (MFA required) or 50140 (MFA interruption/continuation). This logic monitors for users who are unable to complete the MFA challenge during the OfficeHome sign-in process, which may indicate issues with MFA registration, configuration, or an attempt to bypass MFA requirements.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
002
This rule detects successful authentication events for any user within the monitored environment. This serves as a foundational building block for detecting anomalous user behavior, particularly when combined with additional identity provider audit logs such as MFA method usage or registration timestamps to identify potential MFA bypass or persistence via newly registered MFA devices.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
002
Detects anomalous or high-volume activity related to Microsoft Graph API calls targeting email messages, mail folders, or attachments. This behavior is indicative of potential unauthorized bulk email collection or exfiltration attempts, often observed in account compromise scenarios where an attacker enumerates and downloads mail contents.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
112
This rule detects a suspicious Azure sign-in sequence, identified by error code 50074 (User failed MFA) followed by 50140 (This error occurred due to 'Keep me signed in' interrupt when the user was authenticating). This pattern is indicative of an Adversary-in-the-Middle (AiTM) phishing attack where the attacker is attempting to bypass MFA or manipulate session persistence after capturing initial credentials.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
002
Detects anomalous, high-volume access to Exchange Online via the REST API, potentially indicating programmatic exfiltration of email content. This rule monitors for specific suspicious Application IDs, Account Display Names, or Account Object IDs that exceed a threshold of 500 Exchange REST events, which is characteristic of mass-email collection patterns often seen in cloud-based identity compromises.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
002
Detects a single user account authenticating, performing Graph API reconnaissance, and conducting data exfiltration across three distinct source IP addresses within a one-hour window. This behavior is indicative of threat actors like Storm-3121 or Storm-3032 rotating infrastructure per attack stage to evade network-based detection.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
002
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