Ibrahim Saud
@tektrixIndiaCompletionist
2 followers18,458 downloads7,116 copies47 likes38,551 views
11,679 detections
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1,824
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999
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315
114
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47
10
Detects the execution of command-line operations that involve the deletion of shortcut (.lnk) files or the self-deletion of batch scripts, often used by malware or malicious scripts to minimize their footprint and remove evidence after execution.
Detects the creation of specific file paths and files associated with the PSNATCH file stealer tool, specifically monitoring for the presence of SmartUploader application directories and its associated upload index files. This behavior is indicative of an adversary staging collected data on a local system for subsequent exfiltration.
Detects instances where Windows Explorer (explorer.exe) spawns cmd.exe or wscript.exe to execute batch files (.bat) or scripts with specific filenames. This behavior is often associated with malicious user activity, such as executing payloads disguised as innocuous files triggered via shell interactions.
This rule detects the execution of 'DriverInstaller.exe' (either by filename or a known malicious SHA256 hash) that subsequently initiates network connections to GitHub domains. This behavior is indicative of potential malicious activity, such as downloading secondary payloads, command-and-control communication, or beaconing from a suspected rogue or masquerading driver installation utility.
Detects the creation of scheduled tasks using either 'schtasks.exe' or 'powershell.exe' (Register-ScheduledTask) where the task name or configuration references common update or startup task patterns, or contains indicators of potential process hiding or encoded command execution.
Detects evidence of PSNATCH or BASHNATCH tools exfiltrating data to GitHub. The rule identifies suspicious file operations related to an 'SmartUploader' tracking file in standard user directories (AppData, .local/share), monitors for SmartUploader process execution, and flags network connections to api.github.com from processes identified as SmartUploader, bash, or PowerShell.
Detects high-volume API call patterns targeting Google Gemini/Vertex AI services originating from a small, coordinated set of user accounts. This behavior may indicate an automated actor cluster, such as those leveraging generative AI to rapidly generate content for phishing kits or other malicious purposes.
Detects anomalous activity associated with AI and LLM service providers by identifying accounts that are either interacting with these services for the first time or exhibiting a significant spike in API call volume compared to their 14-day historical baseline. This pattern may indicate unauthorized use of enterprise AI resources, potential persistence mechanisms, or exfiltration activities abusing legitimate LLM orchestration APIs.
Detects adversarial conversational reconnaissance patterns where a user queries an AI agent to enumerate its capabilities, such as available plugins, functions, or parameter schemas. The disclosure of this internal information by the agent facilitates the construction of targeted prompt-injection payloads, a known precursor to exploitation of AI agent vulnerabilities.
Detects the presence of known adversarial LLM jailbreak or prompt injection patterns embedded within source code comments. These patterns are designed to bypass safety filters or security controls of AI models when the source code is processed or analyzed by such systems.
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