Detections

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

4,230 detections

Detects common XSS attack patterns within HTTP URI requests, specifically monitoring for script tags or event handler attributes such as 'onerror' and 'onload' which are used to execute malicious JavaScript in a user's browser.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
002
Detects HTTP requests containing directory traversal patterns (e.g., ../, %2e%2e/) combined with attempts to access sensitive system files like /etc/passwd, shadow files, or Windows system configuration files (boot.ini, win.ini).
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
002
This rule detects attempts to inject malicious JavaScript code via HTTP URI requests. It uses PCRE pattern matching to identify common XSS indicators such as <script> tags, JavaScript event handlers (onerror, onload), and attempts to access document.cookie, which are indicative of stored or reflected Cross-Site Scripting (XSS) attack patterns.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
002
This rule detects large HTTP POST requests (greater than 10MB) originating from the internal network to external destinations, which may indicate bulk data exfiltration.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
002
Detects outbound HTTP POST requests to external networks that match a known Emotet C2 traffic pattern. The rule specifically looks for HTTP POST requests using an 'application/x-www-form-urlencoded' Content-Type and a URI structure consisting of randomized alphanumeric segments (4-20 characters long). This structure is characteristic of Emotet's communication with its command-and-control infrastructure.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
002
Detects outbound HTTP POST requests where the Content-Length header indicates a transfer size exceeding 10MB to external (non-HOME_NET) addresses. This pattern is indicative of potential data exfiltration via HTTP.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
002
Detects outbound HTTP POST requests characteristic of QakBot malware command and control (C2) activity. The rule identifies a specific combination of a hardcoded User-Agent string ('Trident/7.0') and a URI pattern consisting of 4 to 32 alphanumeric characters ending in .php.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
102
Detects HTTP POST requests containing multipart form data that include suspicious PHP functions commonly associated with webshells, such as eval(), base64_decode(), system(), or passthru(). This indicates a potential attempt to upload or execute a malicious PHP script on a web server.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
102
Detects HTTP GET requests originating from internal network hosts to external destinations that match known Emotet C2 communication patterns, specifically those using hardcoded URI paths such as '/wp-content/', '/wp-admin/', or '/tmp/' combined with the 'Accept-Encoding: identity' header.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
002
Detects outbound HTTP POST requests where the Content-Length is at least 10MB and the Content-Type header indicates the transfer of archived data (zip or x-tar). This pattern is often associated with the staging and exfiltration of compressed sensitive data from an internal host to an external network destination.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
002
Detects HTTP requests attempting to access sensitive internal IP addresses (RFC-1918) or cloud metadata services (e.g., 169.254.169.254) which are common indicators of Server-Side Request Forgery (SSRF) exploitation attempts.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
002
Detects network traffic (DNS, TLS/HTTPS) communicating with the secondary hosting domain 'fileget.loseyourip.com' specifically attempting to retrieve potential payloads mimicking legitimate software (e.g., OBS Studio installer).
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Duo Tech@duotech
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Detections.ai Community
4 months ago
001
This rule detects network connections, specifically DNS queries or URL hits, to the domain 'facture-in.pages.dev'. It also looks for specific, indicative language within the RemoteUrl often associated with credential harvesting or phishing landing pages (e.g., 'no_mouse', 'wrong_timezone', 'A verificar o acesso').
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Duo Tech@duotech
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Detections.ai Community
4 months ago
001
Detects outbound HTTP requests to 'pastebin.com' retrieving raw content, a technique commonly used by Ousaban malware to fetch command-and-control (C2) configurations from legitimate paste sites.
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Duo Tech@duotech
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Detections.ai Community
4 months ago
001
Detects HTTP requests containing a UNION SELECT pattern in the URI query string, which is a common indicator of a SQL injection attempt aimed at exfiltrating data or manipulating database queries.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
002
This rule detects HTTP directory traversal attempts by inspecting incoming URI requests for common path traversal sequences such as '../', '..%2F', '..%2f', '..%5C', or '..%5c'. Attackers use these sequences to escape the web root directory and access unauthorized files on the server.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
002
Detects suspicious network activity originating from the InstallUtil.exe process. InstallUtil is a legitimate Windows .NET utility that can be abused as a LOLBin (Living-off-the-Land Binary) to proxy the execution of malicious payloads, potentially bypassing application control mechanisms.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
002
This rule detects potential lateral movement attempts using Windows Remote Management (WinRM) by monitoring for specific WSMan SOAP protocol headers in HTTP traffic. It specifically looks for POST requests to the WSMan endpoint that contain suspicious keywords like 'winrs', 'MSRPC', or 's:Envelope', which are commonly associated with remote command execution via winrs or PSSession.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
002
Detects HTTP traffic where the User-Agent header references Regasm or Regsvcs, which are trusted Windows utilities often abused by attackers to proxy execution of malicious code (Living-off-the-Land Binary technique).
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
002
Detects HTTP GET requests for .msc (Microsoft Management Console) files, which can be leveraged as part of an attack chain to abuse the mmc.exe binary for proxy execution of malicious configurations.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
002
Detects network requests to Microsoft Graph API endpoints related to MFA method configuration. This pattern often indicates an adversary attempting to add, modify, or register new MFA authentication methods (such as phone-based methods) for an account to facilitate persistence or bypass security controls.
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nomit vyas@xoxo
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Detections.ai Community
4 months ago
309
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