Ibrahim Saud
@tektrixIndiaCompletionist
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11,679 detections
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Detects instances where a user successfully authenticates via the OAuth Device Code flow using an unmanaged or non-compliant device, followed closely by high-privileged Azure/Graph API administrative actions within a short timeframe. This behavior is indicative of a device-code phishing attack aimed at bypassing MFA controls, including FIDO2/passkeys, by compromising an active session.
Detects a suspicious sequence of events where a known web server process (e.g., IIS, Nginx, Apache) spawns a command shell process, followed shortly by the creation of a file with a web shell-like extension (.aspx, .jsp, .php) in the same environment. This pattern is indicative of an adversary exploiting a public-facing application to upload and potentially access a web shell.
Detects a multi-stage evasion sequence where a process first queries the system for virtualization or sandbox artifacts (e.g., VM tools, system information), followed by an intentional sleep or delay to bypass sandbox analysis, and concluding with subsequent process activity. This pattern is characteristic of malware attempting to detect and evade automated analysis environments.
Detects network activity associated with the Psychedelic Stealer malware, including C2 check-ins, API-based tasking, and communication with known C2 infrastructure using specific URI patterns and headers like 'X-API-Key'.
Detects a loader module and a corresponding RIFF/WAVE file that utilizes steganography to conceal a secondary malicious payload. The loader extracts the payload from the WAV file using specific offsets and XOR decoding, then executes it in memory. This pattern is characteristic of a DLL sideloading chain involving WMPCL.dll and WPFLocalizeExtension.dll.
Detects a multi-stage evasion sequence where a process first queries the system for virtualization or sandbox artifacts (e.g., VM tools, system information), followed by an intentional sleep or delay to bypass sandbox analysis, and concluding with subsequent process activity. This pattern is characteristic of malware attempting to detect and evade automated analysis environments.
This rule detects cross-process operations where common user applications or scripting hosts initiate activity towards sensitive system processes (e.g., lsass.exe, services.exe). This pattern is a frequent indicator of process injection techniques used to achieve code execution in the context of high-privilege or critical system services, often for the purpose of credential theft or persistence.
Detects potential 'ClickFix' activity where a browser or file explorer process initiates a shell (e.g., cmd, powershell, osascript) with command arguments indicative of remote script execution, obfuscated commands, or web-based payload downloading. This pattern matches known social engineering tactics that entice users to copy-paste malicious code into a system shell.
Detects obfuscated PowerShell command lines indicative of malicious file downloading and execution. The detection logic searches for specific indicators such as 'scriptblock', '::create', and numeric obfuscation patterns paired with common .NET web client methods ('net.webclient', 'downloadfile', 'downloadstring') used for staged payloads.
Detects attempts to tamper with, disable, or delete audit logging configurations in AWS CloudTrail and Azure Monitor. Monitoring these activities is critical to ensure that audit logs remain intact for security investigations.
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