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Ibrahim Saud

@tektrix
IndiaCompletionist
2 followers18,458 downloads7,116 copies47 likes38,547 views

11,679 detections

Detects anomalous DNS traffic patterns indicative of DNS tunneling, which is often used for command-and-control (C2) communication or data exfiltration. The rule identifies suspicious indicators such as abnormally long subdomain labels (potentially containing encoded payloads), misuse of TXT or NULL record types for data transport, and high-frequency queries to a single apex domain, while excluding common CDN providers to reduce false positives.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
Detects high-risk AWS IAM privilege escalation activities, such as attaching AdministratorAccess policies, creating new access keys, roles, or users, occurring shortly after a suspicious sign-in event (e.g., impossible travel or new device login with MFA) for the same principal.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
Detects Microsoft Exchange Control Panel (ECP) worker process (w3wp.exe) spawning suspicious child processes (e.g., cmd.exe, powershell.exe, mshta.exe) that are commonly associated with the exploitation of CVE-2020-0688. This vulnerability involves unsafe deserialization within the Exchange ECP ViewState handling, which allows an attacker to execute arbitrary code with SYSTEM privileges.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
008
Detects unauthenticated access attempts or requests originating from system/service accounts targeting the PaperCut NG/MF administrative interface, which may indicate exploitation of authentication bypass vulnerabilities (e.g., CVE-2026-81578).
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
108
Detects unauthenticated attempts to exploit CVE-2025-3248 in the Langflow 'validate/code' endpoint, characterized by missing authentication headers and the presence of suspicious Base64-encoded payloads or command execution keywords. Additionally, it identifies potential post-exploitation activity where Langflow processes spawn Python subprocesses.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
008
Detects instances where the PaperCut application server process (pc-app.exe) or its underlying Java processes (javaw.exe or java.exe) spawn command-line interpreters such as cmd.exe or powershell.exe. This behavior is indicative of potential post-exploitation activity, specifically Remote Code Execution (RCE) via vulnerabilities targeting PaperCut servers.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
108
Detects the presence of the malicious 'indexed-btree' npm package, which contains a backdoor that hooks 'BTree.prototype.set' to execute 'sharedLoad.min.js' at runtime. The rule monitors for characteristic file paths, function hooking patterns, and node process spawning behavior designed to evade installation-time static analysis.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
103
Detects unauthorized outbound HTTP requests to the Telegram Bot API (api.telegram.org) utilizing hardcoded credentials, specific chat IDs, or standard Bot API communication patterns (sendMessage/sendDocument) which are often used by malware for data exfiltration and command-and-control communication.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
003
Detects network traffic associated with the NPM Btree malware campaign, specifically identifying command-and-control (C2) polling activities directed toward blockchain RPC endpoints like Alchemy and Infura. The rules monitor for specific API keys, C2 smart contract addresses via 'eth_call' JSON-RPC requests, and overall traffic patterns to known malicious infrastructure.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
003
Detects the execution of the AnyDesk remote support tool while Microsoft Teams is currently running. This pattern is often indicative of social engineering or tech support scams where an attacker convinces a victim to run remote access software during a call.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
003
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