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Ibrahim Saud

@tektrix
IndiaCompletionist
2 followers18,458 downloads7,116 copies47 likes38,524 views

11,679 detections

Detects the loading or file presence of the malicious kernel driver 'Alinubx.sys' (formerly 'CcProtect.sys'), which is utilized by attackers for Bring Your Own Vulnerable Driver (BYOVD) attacks to terminate security software processes from kernel mode.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
008
Detects anomalous network behavior consistent with the PolinRider malware, which uses public Ethereum JSON-RPC endpoints and blockchain explorers (e.g., Etherscan.io) as a dead-drop resolver for command-and-control (C2) communication. The rules monitor for specific RPC methods (eth_getTransactionByHash, eth_call, eth_getBalance) over HTTP/TLS and DNS resolution queries to known blockchain explorer infrastructure.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
005
Detects network activity associated with NetSupport Manager remote access software, specifically monitoring for connections to known malicious domains and infrastructure, as well as recurring beaconing patterns indicative of command-and-control behavior.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
005
Detects network communication to a known malicious IP address (45.32.253.166) associated with the PIVOTPIPE RAT using Cobalt Strike C2 beaconing patterns. The rule identifies TCP connections, HTTP GET requests for beacon check-ins, and HTTP POST requests for task responses.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
005
Detects suspicious force push events to the 'main' branch in GitHub repositories. The rule flags pushes that include hardcoded commit hashes associated with known malicious activity, pushes where the author and committer identities do not match, or pushes containing specific indicators such as 'indexe.cjs' or 'preinstall' scripts which are common in software supply chain attacks.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
105
Detects the creation of files named 'parser.js' or 'loader.js' within hidden or suspicious VSCode directories (e.g., .npm/.vscode/ or AppData/VSCode/). The detection also flags potential signs of malicious intent, such as the existence of a 'package.json' file nearby or the presence of 'tokenapp' in the file path, which are often indicative of the GHAPPIER implant behavior.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
005
Detects the execution of rundll32.exe with a command line containing 'DavWWWRoot', indicating the loading of a DLL from a remote WebDAV share. This is a common technique used by attackers to execute remote malicious code while bypassing local execution policies or attempting to evade local file-based detection.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
005
Detects anomalous, high-frequency access to clipboard APIs (GetClipboardData/SetClipboardData) by non-standard, unrecognized processes. The rule specifically monitors for patterns consistent with clipper malware, which polls the clipboard for cryptocurrency address formats and replaces them with attacker-controlled addresses.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
005
This rule identifies processes that delete themselves shortly after execution. It joins process creation events with file deletion events on the same device, filtering for cases where the initiating process file name, ID, and hash match the deleted file, and where the deletion occurs within 120 seconds of the process creation. This behavior is commonly associated with malware or adversary tools attempting to remove traces of their activity.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
105
This rule detects the creation of multiple suspicious files within the \Windows\Temp\nb_ directory. The monitored filenames, such as 'agent.json', 'pk.der', 'sleepmask.o', and 'core.pak', are highly characteristic of post-exploitation toolkits, specifically those associated with beaconing, shellcode injection, or modular C2 agents. Detecting these files in temporary locations, especially when appearing in combination, strongly indicates potential adversary activity involving the staging and execution of malicious payloads.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
005
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