Ibrahim Saud
@tektrixIndiaCompletionist
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Detects anomalous sign-in attempts to the OfficeHome application that result in OAuth error 90014 (frequently associated with application access issues or invalid consent) combined with an implausible mismatch between the reported Windows 10 operating system and mobile-specific browser user agents (e.g., Mobile Safari, Chrome Mobile). This behavior may indicate an adversary attempting to mimic legitimate device traffic to bypass conditional access policies or facilitate OAuth-based token manipulation.
Detects session hijacking (AiTM) attempts where a failed or interrupted sign-in (ResultType 50199) is followed by a successful login using the same SessionId but with an Axios user-agent, indicating automated replay of a stolen session token rather than legitimate browser usage.
Detects instances where a non-browser process accesses multiple distinct browser credential or session artifacts (such as Login Data, Cookies, or Local State) across different browser profiles in a short period. This behavior is indicative of credential harvesting activities, often associated with C2 frameworks or post-exploitation tools attempting to steal session cookies, 2FA backup codes, or saved passwords.
Detects anomalous Microsoft Graph API activity characterized by user enumeration or querying for sensitive organizational groups (e.g., payroll, finance, HR) often associated with post-AiTM account-takeover reconnaissance. This detection specifically identifies multiple requests for sensitive URIs or high-count enumeration requests originating from suspicious User-Agent strings like 'axios/1.18.1', commonly observed in threat actor activity such as Storm-2755.
Detects processes attempting to open a handle to the Local Security Authority Subsystem Service (LSASS) process with access rights commonly associated with credential dumping. This detection focuses on identifying suspicious cross-process access requests originating from non-standard or non-authorized processes, such as those used by C2 frameworks like OnyxC2 for extracting cached Windows credentials.
Detects anomalous Microsoft 365 session behavior where a single SessionId persists across multiple sign-ins that originate from rotating IP addresses and ASNs. The detection identifies signs of potential session token theft, specifically looking for traffic matching the Microsoft Outlook client app signature paired with non-standard user agents (e.g., Firefox or Python requests) that exhibit recurring sign-in attempts at approximately 8-hour intervals, which is typical for automated token refresh cycles.
Detects HTTP beaconing activity characteristic of the OnyxC2 stealer malware, specifically identifying the synchronization command ('action=sync') containing hardcoded parameters for host identification and bot versioning.
Detects network activity associated with Adversary-in-the-Middle (AiTM) phishing kits. This includes detection of kit-specific fingerprinting scripts (class_identifier.php), use of specific server banners (openresty), unauthenticated geolocation lookups (api.country.is), setting of geolocation cookies, and proxying of requests to Microsoft OAuth endpoints.
Detects communication patterns associated with the OnyxC2 malware, including host-fingerprint synchronization over HTTP, potential reverse SOCKS5 proxy tunnel initialization, and inbound HTTP responses containing command tasking such as cmd.exe.
Detects anomalous sign-in attempts to the OfficeHome application where an OAuth 90014 error (nonce mismatch/invalid) is returned. The detection specifically monitors for requests originating from mobile browsers on Windows 10 user agents, which is indicative of potential adversary-in-the-middle (AiTM) phishing activity attempting to bypass or intercept authentication tokens.
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