
Arnold Chan
@slazTrusted contributorCompletionist
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7,555 detections
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Detects Odyssey Stealer malware communicating with a known C2 infrastructure using TLS and performing data exfiltration via HTTP requests to raw-IP destinations using disguised file names such as analytics.gif, pixel.png, and content.js.
This rule detects potentially malicious activities aimed at credential harvesting and system recovery inhibition. It monitors for the execution of vssadmin.exe with arguments to list shadow copies (often a precursor to deletion) or references to DPAPI master keys in command lines. Additionally, it identifies unauthorized processes attempting to access sensitive browser-based credential files (e.g., Login Data, Cookies, key4.db) from standard browser installation paths, specifically excluding legitimate browser and update processes.
This rule detects potential automated cryptocurrency wallet draining activity by correlating the execution of known stealer processes (such as GapiUpdate or NeedleStealer) with subsequent outbound network connections to suspicious command-and-control domains or API endpoints within a 30-minute window.
Detects outbound network connections from a device to the 'gapidriver.com' domain, specifically targeting the '/api/rest.php' endpoint. This activity is often associated with malware command and control communication.
Correlates a successful OAuth device-code sign-in with a subsequent Device Registration Service event for the same user within 30 minutes, excluding known legitimate device-code applications (Azure CLI, Azure PowerShell, Visual Studio, VS Code) and requiring both events to have succeeded. The registration match is scoped strictly to the Device Registration Service resource (not the broader Microsoft Authentication Broker app, which fires on routine token refresh/broker activity unrelated to registering a new device). The correlation is further restricted to cases where the device-registration event originates from a different IP address or city than the original device-code sign-in -- the pattern expected when an attacker uses a stolen token to register their own device and mint a Primary Refresh Token, versus a legitimate user completing device enrollment from their own network shortly after a CLI/developer login.
Correlates a successful OAuth device-code sign-in with a subsequent Device Registration Service event for the same user within 30 minutes, excluding known legitimate device-code applications (Azure CLI, Azure PowerShell, Visual Studio, VS Code) and requiring both events to have succeeded. The registration match is scoped strictly to the Device Registration Service resource (not the broader Microsoft Authentication Broker app, which fires on routine token refresh/broker activity unrelated to registering a new device). The correlation is further restricted to cases where the device-registration event originates from a different IP address or city than the original device-code sign-in -- the pattern expected when an attacker uses a stolen token to register their own device and mint a Primary Refresh Token, versus a legitimate user completing device enrollment from their own network shortly after a CLI/developer login.
Correlates a successful OAuth device-code sign-in with a subsequent Device Registration Service event for the same user within 30 minutes, excluding known legitimate device-code applications (Azure CLI, Azure PowerShell, Visual Studio, VS Code) and requiring both events to have succeeded. The registration match is scoped strictly to the Device Registration Service resource (not the broader Microsoft Authentication Broker app, which fires on routine token refresh/broker activity unrelated to registering a new device). The correlation is further restricted to cases where the device-registration event originates from a different IP address or city than the original device-code sign-in -- the pattern expected when an attacker uses a stolen token to register their own device and mint a Primary Refresh Token, versus a legitimate user completing device enrollment from their own network shortly after a CLI/developer login.
This rule identifies successful OAuth 2.0 device code authentication attempts originating from both an IP address and country not previously seen for that specific user, using a 90-day baseline that requires at least 5 prior non-device-code sign-ins to be established (reducing noise from sparse-history/new accounts). It excludes known legitimate device-code applications (e.g., Azure CLI, Azure PowerShell, Visual Studio, VS Code) and sign-ins from devices already marked compliant/managed. This tightened logic reduces false positives from routine travel or home/office network changes while still catching device code phishing, where an adversary tricks a user into entering a device code on a malicious site to obtain an access token.
This rule identifies successful OAuth 2.0 device code authentication attempts originating from both an IP address and country not previously seen for that specific user, using a 90-day baseline that requires at least 5 prior non-device-code sign-ins to be established (reducing noise from sparse-history/new accounts). It excludes known legitimate device-code applications (e.g., Azure CLI, Azure PowerShell, Visual Studio, VS Code) and sign-ins from devices already marked compliant/managed. This tightened logic reduces false positives from routine travel or home/office network changes while still catching device code phishing, where an adversary tricks a user into entering a device code on a malicious site to obtain an access token.
Correlates a successful OAuth device-code sign-in with a subsequent Microsoft Authentication Broker / Device Registration Service event for the same user within 30 minutes, excluding known legitimate device-code applications (Azure CLI, Azure PowerShell, Visual Studio, VS Code) and requiring both events to have succeeded. The correlation is further restricted to cases where the device-registration event originates from a different IP address or city than the original device-code sign-in -- the pattern expected when an attacker uses a stolen token to register their own device and mint a Primary Refresh Token, versus a legitimate user completing device enrollment from their own network shortly after a CLI/developer login.
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