Detections

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

4,421 detections

This rule detects phishing emails that deliver survey or form lures by identifying specific content patterns within SMTP traffic. It looks for emails with 'Content-Type: application/' and 'filename=' headers, specifically targeting attachments with file extensions like .doc, .docx, .pdf, or .xlsx, which are commonly used in social engineering attacks to deliver malicious documents or forms.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
004
This rule detects DNS queries for domains ending with '.onion', which are typically associated with the Tor network and the dark web. Such queries indicate potential attempts to access dark web resources, which could be a policy violation or an indicator of malicious activity.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
004
This rule detects network connections to known threat intelligence vendor portals. It specifically looks for HTTP traffic where the host header matches one of the specified domains: intel471.com, ke-la.com, recordedfuture.com, or flashpoint.io. This could indicate an analyst or automated system accessing threat intelligence resources.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
004
This rule detects enumeration of organization profiles on Crunchbase.com by monitoring HTTP traffic for connections to 'crunchbase.com' with a high frequency (15 times in 60 seconds) from a single source IP address. This behavior is indicative of a network scan or automated data collection activity.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
004
This rule detects potential reconnaissance activity targeting investor relations pages on a web server. It triggers when a client makes 10 or more HTTP requests containing the word "investor" (case-insensitive) in the URI within a 30-second window. This could indicate an attacker attempting to gather information about a company's financial status, ownership, or other sensitive details often found on investor relations sections of websites.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
004
This rule detects attempts to modify file timestamps over SMB. Specifically, it looks for the 'SetFileTime' operation within SMB traffic on port 445. This activity can be indicative of an adversary attempting to hide their presence or activities by making malicious files appear to have legitimate creation or modification times, a technique known as timestomping.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
004
This rule detects suspicious background downloads initiated via BITS (Background Intelligent Transfer Service) where the HTTP User-Agent contains "Microsoft BITS" and the requested URI ends with common executable or script file extensions (.exe, .dll, .ps1, .bat). This behavior can indicate an adversary using BITS for ingress tool transfer or to download malicious payloads.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
004
This rule detects HTTP downloads where a file is disguised as a PDF but is actually an executable. It specifically looks for the 'MZ' magic bytes (indicating a Windows executable) within the first two bytes of the file data, combined with a '.pdf' extension in the HTTP URI. This is a common technique used by attackers to bypass security filters and trick users into executing malicious code.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
004
This rule detects the download of potentially obfuscated VBScript files over HTTP. It specifically looks for the string 'Chr(' repeated multiple times within the first 200 bytes of the file data, which is a common obfuscation technique used in malicious VBScripts to hide their true content.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
004
This rule detects attempts to exploit Apache Struts OGNL (Object-Graph Navigation Language) injection vulnerabilities. It specifically looks for HTTP requests where the 'Content-Type' header contains the sequence '%{', which is characteristic of OGNL expressions used in injection attacks against Apache Struts.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
004
This rule detects the download of a malicious Office template file (.dotm) over HTTP. The rule specifically looks for HTTP traffic flowing to the client that contains the ".dotm" string in the URI, indicating a potential template injection attack where a malicious template is delivered to a user.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
004
This rule detects attempts to exploit the EternalBlue vulnerability over SMB (Server Message Block) protocol. It specifically looks for a sequence of bytes indicative of the exploit payload within the SMB traffic.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
004
This rule detects attempts to upload a DLL file to an 'modules' directory on an IIS web server using an HTTP PUT request. This activity is indicative of an adversary attempting to establish persistence by installing a malicious IIS native module.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
004
This rule detects TFTP (Trivial File Transfer Protocol) requests for bootloader files. Specifically, it looks for UDP traffic on port 69 (the standard TFTP port) where the packet content starts with the byte sequence "00 01". This pattern is characteristic of a TFTP read request for a file, often used in network booting scenarios to retrieve bootloader files. The rule flags this activity as a "Possible Pre-OS Persistence" mechanism, suggesting an adversary might be attempting to establish persistence before the operating system fully loads, potentially through techniques like bootkits or modifying boot records.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
004
This rule detects HTTP server banner grabbing activity. Specifically, it triggers when a client sends a 'HEAD' HTTP request to a server on port 80, and this activity occurs at a high frequency (20 times within 30 seconds from the same source IP). Banner grabbing is a reconnaissance technique used to identify the type and version of web servers, which can then be used to find known vulnerabilities.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
004
This Suricata rule detects attempts to enumerate domain trusts via LDAP. It specifically looks for TCP traffic on port 389 (LDAP) where the content of the packet contains the string "(objectClass=trustedDomain)" in a case-insensitive manner. This activity is indicative of an attacker trying to discover relationships between domains, which is a common step in reconnaissance and lateral movement within an Active Directory environment.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
004
This rule detects potential SSH agent forwarding abuse, which can be used for lateral movement within a network. It specifically looks for a byte sequence ('|00 00 00 1c 0b|') within TCP traffic on port 22 (SSH) flowing to the server, indicating an established connection. This byte sequence is characteristic of SSH agent forwarding requests.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
004
This rule detects a DNS Amplification Distributed Denial of Service (DDoS) attack. It triggers an alert when UDP traffic destined for port 53 (DNS) on the home network has a data size greater than 512 bytes and exceeds a threshold of 100 packets within 5 seconds, tracked by destination IP address. This pattern is indicative of a DNS amplification attack where small queries result in large responses, overwhelming the target.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
004
This rule detects potential DNS response spoofing or DNS hijacking attempts. It specifically looks for UDP traffic on port 53 (DNS) where a high number of responses (5 within 10 seconds) are observed for a given destination IP address, which could indicate an attacker attempting to inject malicious DNS responses.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
004
This rule detects attempts to drop tables in a MySQL database. It specifically looks for the 'DROP TABLE' string in TCP traffic directed to the standard MySQL port (3306) on the home network. This activity is often indicative of malicious intent, such as data destruction or database tampering.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
004
This rule detects the delivery of a payload that attempts to perform process hollowing using the Runpe technique. It specifically looks for the presence of the Windows API functions 'ZwUnmapViewOfSection' and 'WriteProcessMemory' within HTTP file data being sent to a client. These functions are commonly used in process hollowing to unmap a legitimate process's memory and write malicious code into it.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
003
Page 159 of 211