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Ibrahim Saud

@tektrix
IndiaCompletionist
2 followers18,458 downloads7,115 copies47 likes38,515 views

11,679 detections

Detects periodic outbound network connections from rnpkeys.exe characteristic of the Sauron Loader C2 beaconing. The rule identifies a consistent heartbeat pattern (approx. 600 seconds) between successful C2 polls to the same remote host, distinguishing it from typical user-driven browser traffic.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
Detects instances where a user grants high-privilege permissions (Mail.Read, Files.ReadWrite.All, offline_access) to an OAuth application within 24 hours of a risky sign-in event. This pattern is commonly observed in AiTM (Adversary-in-the-Middle) or consent-phishing attacks designed to establish persistent access to cloud resources.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
002
No description available.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
002
Detects instances where an administrative user performs a password or MFA method reset on a target account, followed within 24 hours by a sign-in event from that same target account flagged with a high or medium risk level. This sequence is characteristic of Adversary-in-the-Middle (AiTM) attacks, where an attacker utilizes stolen session tokens and subsequently coerces helpdesk or administrative intervention to reset MFA requirements to maintain unauthorized access.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
002
Detects network traffic patterns indicative of adversary-in-the-middle (AiTM) phishing infrastructure. The rule identifies suspicious TLS Server Name Indication (SNI) strings matching common SaaS login portals (Microsoft, Okta, Google) paired with SSL/TLS certificates issued by 'Let's Encrypt' that contain suspicious subject names, suggesting a freshly generated infrastructure for credential harvesting.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
002
This rule detects potential account compromise by identifying scenarios where a user's security information (MFA methods) is modified, deleted, or updated, followed shortly after (within 24 hours) by a successful sign-in using a less secure authentication method (SMS, Voice, OATH, or Mobile App notification) instead of a stronger method like FIDO2 or Passkey.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
202
Detects outbound proxy traffic indicating potential Adversary-in-the-Middle (AiTM) phishing activity. The rule identifies requests directed at domains mimicking major Identity Providers (Microsoft, Okta, Duo, Google) that either utilize punycode homograph encoding or arrive via known URL shortener/redirector services, while filtering out known legitimate brand domains.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
102
Detects MFA request abuse (T1621) by identifying a user receiving 5 or more MFA push, SMS, or call denials/timeouts within a 10-minute window across Entra ID, Okta, or Duo authentication logs. This behavior is indicative of an MFA fatigue attack, where an adversary continuously triggers MFA prompts until the user eventually approves the request out of frustration or confusion.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
102
Detects web-proxy or webserver log activity associated with domains registered within the last 30 days that mimic branding or structure of major identity providers (Microsoft, Okta, Google, Duo). This behavior is characteristic of adversary-in-the-middle (AiTM) phishing infrastructure staging.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
002
Detects the reuse of session identifiers (SessionId, DeviceId, or RefreshTokenJti) across different device fingerprints (e.g., changes in User-Agent, OS, or Browser) within a short timeframe. This behavior is indicative of session hijacking or adversary-in-the-middle (AiTM) attacks, where stolen session tokens or cookies are replayed by an attacker from a different endpoint than the original user.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
002
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