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Ibrahim Saud

@tektrix
IndiaCompletionist
2 followers18,457 downloads7,048 copies47 likes38,293 views

11,679 detections

This rule detects activity associated with malicious or intrusive browser extensions, specifically identifying network connections to a known malicious command-and-control (C2) endpoint, execution of specific scriptlet keywords related to MAIN-world injection in browser processes, and the presence of known 'BadBlocker' extension IDs on endpoints.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
This rule detects modifications to SSH authorized_keys files on Linux-based SD-WAN controllers, or successful SSH public key authentication events involving the vmanage-admin user, including attempts to identify authentication from unexpected source IP addresses.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Detects malicious GitHub Actions workflow activity characteristic of the Miasma worm. The rule monitors for the creation or update of workflows named 'Dependabot Updates' (masquerading), which utilize OIDC token write permissions and execute scripts using 'bun run _index.js', often on suspicious snapshot branches.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
This rule detects potentially malicious activity associated with the exploitation of Ray framework dashboards. It identifies three distinct indicators: inbound network connections to the Ray dashboard port (8265), the execution of common file download tools (e.g., curl, wget) by Ray worker processes, and outbound connections from Ray processes to known C2 infrastructure.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
This rule detects the installation or update of known malicious browser extensions followed by network communication to identified command-and-control or malicious infrastructure domains. It also monitors for direct network beaconing to these malicious domains, providing defense-in-depth even if installation telemetry is absent.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Detects various methods of establishing persistence on Linux systems by abusing dynamic linker configuration (/etc/ld.so.preload), modifying shell startup profiles (.bashrc, .profile) to include malicious environment variables (LD_PRELOAD/LD_LIBRARY_PATH), or directly launching processes with these hijacked variables pointing to suspicious locations such as /tmp, /dev/shm, or /var/tmp.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Detects HTTP 3xx redirect chains where a browser is redirected to a cloud-native staging domain (such as azurewebsites.net, pages.dev, or web.app) that has not been previously observed in the organization's network traffic history over the last 37 days. This pattern is commonly used by adversaries to redirect traffic to staging infrastructure hosting malicious payloads or C2 content while leveraging reputable cloud services to bypass filters.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
102
This rule detects potentially malicious cron job activity, including modifications to crontab files, execution of cron jobs from world-writable directories (such as /tmp or /dev/shm), and the usage of unusual prime-number timing intervals which are commonly used by attackers to evade standard scheduling patterns.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Detects instances where a GitHub Actions runner requests an OIDC token and subsequently executes an npm publish command within 5 minutes. This behavior is indicative of unauthorized package deployment, potentially exploiting GitHub's OIDC 'trusted publishing' mechanism, as observed in the Miasma worm campaign.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Detects attempts to register an AppxPackage from a UNC path using PowerShell, which is a prerequisite for the UnCanny LPE/Coercion attack. This technique leverages the Add-AppxPackage cmdlet with the -Register parameter and a UNC path.
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Ibrahim Saud@tektrix
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Detections.ai Community
5 months ago
008
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