Detections

Explore public detection logic contributed by the community across SIEM and rule languages.

3,615 detections

This rule detects processes frequently creating image files (bmp, png, jpg, jpeg) in temporary directories and subsequently initiating external network connections. The logic identifies suspicious patterns where a non-whitelisted process generates files at consistent, short intervals and performs network activity, which is a common indicator of automated screen capture and exfiltration.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
Detects file operations (creation, modification, deletion, renaming) involving common SSH key files (id_rsa, id_ed25519) or files located within .ssh directories, initiated by processes typically associated with AI/LLM tools (chatgpt, perplexity, etc.) or generic process names. This may indicate an attempt to exfiltrate or manipulate authentication credentials by unauthorized applications.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
001
Detects instances where browser processes (chrome.exe, msedge.exe, brave.exe, firefox.exe) access clipboard-related APIs via Sysmon Event ID 10. This behavior is indicative of potential malicious or unauthorized clipboard interaction, such as sensitive data harvesting or clipboard manipulation by automated agents or scripts.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
Detects instances where browser processes (chrome.exe, msedge.exe, brave.exe, firefox.exe) access clipboard-related APIs via Sysmon Event ID 10. This behavior is indicative of potential malicious or unauthorized clipboard interaction, such as sensitive data harvesting or clipboard manipulation by automated agents or scripts.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
001
Detects network activity associated with the BadBlocker for YouTube browser extension (ID: cmedhionkhpnakcndndgjdbohmhepckk). The rule identifies DNS queries and outbound network connections to known command-and-control (C2) domains (api.adblock-for-youtube.com, get.adblock-for-youtube.com) used by the extension to exfiltrate session cookies and other sensitive browser data.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
005
Detects outbound network traffic from browser processes to known BadBlocker extension command-and-control infrastructure (api.adblock-for-youtube.com or get.adblock-for-youtube.com), followed by subsequent outbound HTTPS connections to arbitrary external domains. This sequence is indicative of malicious browser extension activity involving the exfiltration of session cookies or authentication tokens from the victim's browser.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
005
This rule detects the outbound transmission of email attachments via SMTP (ports 25 and 587) that contain archived file formats (zip, 7z, tar.gz, tgz). Attackers often compress collected data into archives to facilitate exfiltration and minimize the time required for data transfer.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
This rule detects the outbound transmission of email attachments via SMTP (ports 25 and 587) that contain archived file formats (zip, 7z, tar.gz, tgz). Attackers often compress collected data into archives to facilitate exfiltration and minimize the time required for data transfer.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
001
This rule detects successful Azure AD authentication attempts originating from known hosting provider or VPS IP addresses, combined with anomalous behavior such as headless browser user agents, impossible travel, or high-risk sign-in flags. This pattern is indicative of Adversary-in-the-Middle (AiTM) phishing proxies like Evilginx or Bluekit, which attempt to bypass MFA by proxying the authentication process.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
005
Detects anomalous browser activity where an endpoint retrieves configuration or scriptlets from the BadBlocker-related API, followed shortly by outbound network connections to suspicious domains or the exfiltration of sensitive browser-based session data like document.cookie, localStorage, or sessionStorage.
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Ethan Andrews@eandrews
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Federal Signal Detections
4 months ago
105
This rule detects the execution of processes named win_guard_*.exe or those residing in directories often used for malicious staging (Users\Public, Windows\Temp, ProgramData). Additionally, it detects when these identified suspicious processes load user32.dll, a common indicator of initiating a low-level keyboard hook (WH_KEYBOARD_LL) often used by keyloggers to capture user input.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Detects Android applications exhibiting multiple sensitive behaviors simultaneously within a 5-minute window, such as screen recording, audio capture, GPS tracking, and unauthorized access to SMS, call logs, or contacts. This behavior is strongly indicative of malicious mobile spyware.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
This rule detects suspicious staging activity by monitoring for the creation of 'editor.dat' files in sensitive directories like C:\Users\Public or C:\Windows\Tasks, or the rapid accumulation of multiple executable files (.exe, .dll, .cpl) within the C:\Users\Public directory, which is a common technique used by attackers to stage tools before execution or lateral movement.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
001
Detects unauthorized processes attempting to access or perform operations on sensitive files such as browser credentials, SSH keys, crypto wallets, and password manager databases. The rule specifically looks for non-standard or unsigned processes interacting with a high volume of these files in a short time frame, which is indicative of credential harvesting by infostealer malware like Lumma, Redline, or Vidar.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
003
Detects unauthorized access (creation, modification, renaming, or deletion) to sensitive local credential files by the Node.js runtime process (node.exe/node). This behavior is indicative of infostealers, specifically noted in the Miasma/MYRA activity associated with the Polymarket Trap campaign, where malicious packages attempt to exfiltrate AWS, SSH, NPM, Python, Docker, and GPG credentials.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
This rule detects when a Node.js process accesses sensitive files associated with cryptocurrency wallets (e.g., MetaMask, Phantom, Coinbase Wallet) or browser extension storage directories. This behavior is highly indicative of information-stealing malware attempting to extract private keys, wallet configuration files, or sensitive browser session data.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
Detects periodic screen captures being written to the AppData\Roaming\Screenshots directory with specific timestamped naming patterns (time_YYYYMMDD_ or wnd_YYYYMMDD_) often used by Remcos RAT to exfiltrate user activity.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
This rule monitors for suspicious file creation and process execution indicative of the Remcos Remote Access Tool. It specifically looks for the creation of files containing 'keylogger.dat' or 'logs' in the user's AppData directory, as well as the execution of processes with 'remcos.exe' or 'remcos' in the path or command line arguments, signaling potential keylogging or remote control activity.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
This rule detects an unusually high number of web search queries (identified by 'search' or 'query' in the URI) originating from a single IP address within a one-hour window. A threshold of 100 or more queries triggers the alert. This behavior could indicate automated activity such as web scraping, reconnaissance, or a denial-of-service attempt against the search functionality.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
Detects the creation or writing of files within AppData directories matching specific naming patterns associated with Remcos RAT activity. Remcos typically generates files with a prefix of 'time_' or 'wnd_' followed by a timestamp string in these locations to store collected data or screenshots.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
This rule detects when a user account repeatedly (3 or more times within an hour) requests either 'SeDebugPrivilege' or 'SeImpersonatePrivilege' (Event ID 4672). This behavior can be indicative of an attacker attempting to escalate privileges or manipulate access tokens, often seen in techniques like token impersonation or debugging processes for malicious purposes.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
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