
Ibrahim Saud
@tektrixIndiaCompletionist
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Detects sign-in events within Microsoft Entra ID (formerly Azure AD) that utilize the 'deviceCode' authentication protocol. This OAuth 2.0 flow is designed for devices with limited input (e.g., smart TVs, IoT devices, CLI tools) but is frequently abused by attackers in 'device code phishing' campaigns to obtain access tokens by tricking users into entering a code on a malicious site.
Detects instances where the Claude Desktop application spawns a terminal or shell process that immediately executes commands associated with downloading remote payloads or accessing sensitive cryptocurrency wallet artifacts. This behavior is indicative of potential AI prompt injection where an AI assistant is coerced into executing malicious commands without user authorization.
Detects the copying of the legitimate Windows curl.exe binary to a renamed filename within user-writable directories (e.g., %TEMP%) via PowerShell. This technique is often used to masquerade the utility for stealthy file downloads. The rule also identifies the execution of these renamed binaries by checking for a mismatch between the current filename and the binary's original file description embedded in its PE header.
Detects anomalous activity where a successful device-code authentication is immediately followed by rapid multi-device registration or Intune enrollment. This pattern is consistent with GhostCode-style attacks involving Primary Refresh Token (PRT) theft and rogue device registration to bypass conditional access policies.
This rule detects suspicious activity associated with Redis server processes attempting to write to SSH 'authorized_keys' files or executing commands (such as BGREWRITEAOF or directory reconfiguration) commonly used by attackers to inject malicious SSH public keys into a Redis installation for persistent remote access.
Detects suspicious command line activity or network interactions targeting MongoDB, characterized by the use of 'eval' combined with specific function calls (such as 'process', 'load', 'require', or constructor-chaining) indicative of attempts to escape the MongoDB JavaScript sandbox.
Detects instances where a privileged account (such as an administrator or helpdesk user) removes MFA security information or resets a password for a target account, followed shortly (within 4 hours) by a sign-in attempt from that same target account exhibiting risk characteristics such as impossible travel or unfamiliar features. This pattern is often associated with social engineering attacks, such as those attributed to Scattered Spider, where an attacker coerces support staff to disable MFA protections for an account.
Detects potential Adversary-in-the-Middle (AiTM) activity by identifying a successful interactive MFA-protected sign-in followed within 15 minutes by a non-interactive (refresh token) sign-in for the same user from a different IP address, ASN, or User-Agent. This pattern is indicative of session hijacking where an attacker reuses a stolen session token.
Detects a sequence of events where a user with a high-risk or compromised sign-in status registers a new device in Entra ID shortly after the event, followed by subsequent sign-ins from that device that bypass multi-factor authentication (MFA) via Conditional Access policies.
Detects MFA relay phishing kits (such as Bluekit) where the MFA challenge is satisfied by an attacker-controlled proxy rather than the legitimate user device. The rule identifies sign-in attempts where the primary authentication request originates from one network location, while the MFA completion step originates from a different network location, and the MFA claim indicates it was satisfied via a proxied token.
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