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Ibrahim Saud

@tektrix
IndiaCompletionist
2 followers18,458 downloads7,116 copies47 likes38,554 views

11,679 detections

This rule detects a two-stage network redirect sequence indicative of an Adversary-in-the-Middle (AiTM) phishing campaign. The first stage identifies traffic interacting with a Google Ads click-tracker, and the second stage identifies a subsequent request to an AWS S3 bucket, often used to host malicious landing pages or phishing proxies.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
Detects phishing emails associated with the Mirage2FA campaign, which utilize HTML smuggling via .htm, .xhtml, or .svg attachments, often disguised as voicemail or contract-related documents. The rule also accounts for social engineering lures involving QR codes.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
This rule set detects multi-stage network patterns indicative of AiTM phishing campaigns. It identifies common redirection techniques, including lookalike domains hosting Microsoft OAuth authorize URLs, DNS resolution of Google ad-tech infrastructure followed by novel domains, malicious use of Google Meet and Google Ads click-tracking endpoints as phishing hops, and references to AWS S3-hosted intermediate landing pages.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
Detects non-interactive sign-in events to common Microsoft 365 applications (OfficeHome, Outlook, My Sign-Ins, My Profile) where the User-Agent identifies as an automated HTTP client library (Axios or Python-requests). This behavior is often indicative of programmatic access via stolen session cookies or application tokens, commonly seen in adversary activity such as payroll-related business email compromise.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
Detects OfficeHome sign-in events featuring the 90014 error code (missing OAuth nonce). The rule looks for a specific mismatch where mobile browser User Agents are observed on a system reported as Windows 10, a pattern consistent with Adversary-in-the-Middle (AiTM) session token replay attacks attempting to access Microsoft 365 environments.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
Detects network traffic indicating a potential adversary-in-the-middle (AiTM) phishing proxy attempting to relay authentication requests to the legitimate Microsoft login service. The rule triggers when an external host acts as a reverse proxy for login.microsoftonline.com endpoints without being the legitimate Microsoft service itself.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
Detects network activity associated with the GhostCode phishing kit, specifically communication with its geolocation harvester API, DNS lookups for the FlashProxy.io residential proxy service used for geolocation evasion, and identification of the proxy_ip in HTTP responses.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
Detects execution of curl piping to a shell interpreter (bash, zsh, sh) initiated directly from macOS Terminal or iTerm2. This pattern is characteristic of ClickFix-style social engineering attacks, where a user is prompted to copy and paste a malicious command into their terminal, which then downloads and executes a secondary stage, such as the Atomic macOS (AMOS) stealer.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
Detects sign-in events using the OAuth 2.0 device code flow, which is a mechanism often abused in phishing campaigns (such as GhostCode) to lure users into authorizing malicious applications or granting access tokens without needing their actual credentials.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
Detects high-frequency, unauthenticated Redis PING/AUTH attempts indicative of a reconnaissance scan against the Redis service. This activity typically represents an adversary performing mass fingerprinting or attempting to identify unsecured Redis instances.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
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