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Ibrahim Saud

@tektrix
IndiaCompletionist
2 followers18,457 downloads7,056 copies47 likes38,411 views

11,679 detections

Detects STOCKSTAY .NET backdoor components (e.g., STOCKMARKET, STOCKTRADER) accessing their encrypted 'fonts' configuration files located in the local application data SMN directory. These components use environmental keying (hostname or domain-based) to decrypt the configuration, a technique designed to thwart analysis.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
003
Detects potential fast-flux DNS behavior indicative of Bluekit PhaaS P2P infrastructure. The rule monitors for browser processes resolving a single domain to 5 or more distinct external IP addresses within a one-hour window, excluding known CDNs and cloud infrastructure.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
003
This rule detects potentially malicious browser activity by monitoring for Google Chrome outbound network connections to known command-and-control (C2) domains associated with malicious browser extensions (e.g., BadBlocker). It also flags the installation or loading of specific, known-malicious browser extension IDs on endpoints.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
103
Detects exploitation attempts against LB-LINK routers via parameter injection in the 'set_LimitClient_cfg' endpoint (CVE-2023-26801) and subsequent command-and-control behavior, including outbound connections to known RondoDox staging IPs and DNS queries for associated malicious domains.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
003
Detects GreenBlood ransomware activity targeting network shares and USB drives. This rule identifies file rename or creation events with specific ransomware extensions (.tgbg, .bak) or ransom note filenames ('READ_ME_TO_RECOVER_FILES.txt'), combined with the use of extended path prefixes (\?\ or \?\UNC\) often employed by ransomware for network/UNC path targeting. The rule aggregates these events and alerts if three or more such files are detected from a single process on a device.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
004
Detects potential malicious browser extension activity by correlating internal browser process network connections to suspicious infrastructure (e.g., adblock-for-youtube.com) with subsequent network traffic from the same process PID to third-party domains within 60 seconds of visiting sensitive high-value websites (e.g., login portals, banking). The rule also alerts on any direct network connection to identified malicious exfiltration infrastructure.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
003
This rule detects potential rootkit activity by monitoring for specific DeviceIoControl requests (code 2248E0), the presence of a suspicious file (402.sys) in the ProgramData directory, and specific NamedPipe events (NSecKrnl). These indicators are often associated with kernel-level malicious implants or rootkits attempting to hide their presence or interact with the system at a low level.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
104
This rule detects potentially malicious activity related to the npm ecosystem. It identifies Node.js processes accessing .npmrc files (which contain authentication tokens) followed by immediate outbound network communication. Additionally, it detects suspicious command-line patterns associated with automated npm publishing (indicative of worm-like propagation) and the presence of npm credentials in the environment or command lines of non-npm processes.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
103
Detects high-volume host discovery activity, specifically a process executing 5 or more distinct system or network discovery queries (via WMI or command line) within a 2-minute window. This behavior is indicative of Turla's STOCKSTAY or STOCKTRADER victim profiling phase, where an actor maps the target environment's configuration, network, and user information.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
003
Detects suspicious command-line activity involving 'cmd.exe' executing a batch file named 'cleanup_greenblood.bat' or other batch files from temporary directories with specific cleanup-related commands. This pattern is often associated with malware or post-exploitation cleanup activities.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
004
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