Ibrahim Saud
@tektrixIndiaCompletionist
2 followers18,457 downloads7,056 copies47 likes38,430 views
11,679 detections
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Detects the presence of Node.js runtime files (node.exe, index.js) or script-based agents (vbs, ps1) located within user-profile paths (AppData) that mimic legitimate Windows system folders. This pattern is characteristic of masquerading techniques used to stage or run malicious agents under the guise of system components.
Detects the loading of a known malicious 136KB browser injection helper DLL (SHA256: 75018b06c7105a1dca391805d17b402aed35ebd515b92d461236eafbd606cb40) into Google Chrome or Microsoft Edge processes. The rule further correlates this activity with command line arguments indicative of abusing the browser's elevation service, which is a technique often used for process injection or local privilege escalation.
Detects the installation or configuration of the NvFsFilter (Alinubx.sys) persistence driver, often associated with malicious behavior that continuously terminates security software processes to allow for persistent unauthorized activity after system reboots.
This rule detects the loading of the known vulnerable NvFsFilter (Alinubx) driver, followed by the abrupt cessation of multiple active AV/EDR processes within a 30-minute window. This behavior is indicative of a Bring Your Own Vulnerable Driver (BYOVD) attack, where the driver is used to execute kernel-mode commands to terminate security software, bypassing standard protection mechanisms.
Detects instances where the Node.js runtime process (node.exe) spawns a command shell (cmd.exe) or PowerShell (powershell.exe). This pattern is frequently used by malicious Node.js-based applications, RATs, or web shells to execute arbitrary commands on a compromised host.
Detects the staging of ChainScript files into specific, masquerading subdirectories within user AppData folders that mimic legitimate Windows system paths. This activity is indicative of the _scatter.ps1 script redistributing components such as the Node.js runtime, agent configuration, and helper utilities before execution.
Detects HTTP proxy requests for ZIP archives where the Referer header indicates a navigation originated from a GitHub Pages (github.io) site, but the destination is not a GitHub domain. This behavior is indicative of a multi-hop redirect chain used in campaigns to deliver malicious payloads, such as infostealers, by abusing GitHub Pages to redirect users to external hosting for ZIP archive downloads.
Detects anomalous authentication patterns where multiple distinct user identities authenticate from the same source IP (often a VPN or proxy) within a short timeframe, characteristic of North Korean IT worker laptop-farm or identity-mule operations where a single operator manages multiple contractor accounts.
Detects Node.js or Python processes exhibiting behavior characteristic of information-stealing malware (such as the WaterPlum suite: BeaverTail, InvisibleFerret, OtterCookie, StoatWaffle). The rule monitors for these processes accessing sensitive files related to browser credentials, cryptocurrency wallets, scanned identification documents, or performing collection activities like keylogging and screen capturing.
Detects user authentication events to recruitment, career, or applicant-tracking applications where the connection originates from an anonymizing proxy, VPN, or datacenter IP address. This behavior has been observed as a precursor to North Korean IT worker recruitment fraud, where attackers mask their true geographic location to gain unauthorized employment.
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