Detections

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

1,310 detections

This rule detects HTTP responses that appear to be a phishing kit landing page. It looks for specific keywords in the HTTP response body, such as 'img', 'logo', 'password', and 'Submit', indicating a page designed to collect credentials. Additionally, it checks if the HTTP host is an IP address, which is often used in phishing campaigns to bypass domain-based reputation checks or to host pages directly on compromised servers.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
001
This rule detects potential phishing emails sent over SMTP that request sensitive information. It looks for specific keywords in the email subject and content, such as "verify", "account", and "click here", indicating an attempt to trick the recipient into revealing credentials or other sensitive data.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
001
This rule detects HTTP POST requests where the client body contains the keywords 'company', 'role', and 'email' (case-insensitive). This combination of keywords in a POST request body is indicative of a phishing reconnaissance attempt, where an attacker is trying to collect organizational data through a form submission.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
001
This rule detects bulk phishing campaign delivery by monitoring SMTP traffic for a high volume of emails containing the 'Subject:' header. Specifically, it triggers an alert if 20 or more emails with a 'Subject:' header are sent to the internal network (HOME_NET) on port 25 within a 60-second window from the same source.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
001
This rule detects HTTP responses that contain content indicative of a survey lure page used for information gathering. It specifically looks for the presence of keywords such as 'survey', 'name', 'email', and 'company' within the HTTP response body, suggesting an attempt to collect personal or organizational information.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
001
This rule detects potential credential phishing pages served to a user over HTTP. It looks for HTTP responses containing both "Enter your password" and "Sign in" (case-insensitive) in the file data, and where the HTTP host is an IP address rather than a domain name. This combination of indicators suggests a generic phishing attempt designed to trick users into providing their credentials.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
001
This rule detects HTTP requests to domains associated with corporate intelligence subscription services such as Dun & Bradstreet (dun.com, dnb.com) and Hoovers (hoovers.com). It triggers an alert if a single source IP makes 10 or more such requests within a 60-second window, indicating potential reconnaissance activity.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
001
This rule detects HTTP requests to known data broker websites such as Spokeo, Intelius, and BeenVerified. It triggers an alert if 10 or more such requests are observed from a single source IP within a 60-second window. This activity could indicate reconnaissance efforts to gather information about individuals.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
001
This rule detects bulk enumeration of a company's overview page by monitoring HTTP requests. It triggers an alert if a source IP makes 20 or more requests containing 'company' in the URI within a 30-second window, indicating a potential network scan or reconnaissance activity.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
001
This rule detects web pages served to clients that contain characteristics commonly associated with tech support scams. Specifically, it looks for HTTP responses containing the words "call", "1-800", and "virus" (case-insensitive) in the file data. This combination of keywords suggests an attempt to trick users into calling a fake support number due to a fabricated "virus" infection.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
001
This rule detects network reconnaissance activity by identifying HTTP user-agent strings commonly associated with vulnerability scanners like Nmap or Masscan. It specifically looks for the string 'Nmap' within the HTTP user-agent header in traffic flowing from the internal network to a server.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
001
Detects inbound emails containing Mailchimp click-tracking links that redirect to ActiveCampaign landing pages, a known ESP chaining technique used to obscure credential harvesters. This technique is often used in phishing campaigns to bypass email security controls.
avatar
Ethan Andrews@eandrews
avatar
Federal Signal Detections
5 months ago
407
This rule detects potential spearphishing attempts targeting high-value individuals (CEO, CFO, IT Admin) within an organization. It looks for emails sent to these individuals with subjects commonly associated with financial phishing or social engineering lures, such as "Invoice," "Wire Transfer," "Payment," "Urgent," or "Purchase Order." The rule also checks if these emails contain attachments, which is a common vector for delivering malware or credential harvesting documents in phishing campaigns. It summarizes the attempts by sender, recipient, and day, counting the number of attempts and listing the attachments.
avatar
Ankit Mehta@Secvyn
avatar
Detections.ai Community
5 months ago
005
Identifies processes launched with the __DAEMONIZED=1 environment variable. This specific marker is used by the vpmdhaj malicious npm packages to spawn their stage-2 credential harvesting payload as a detached process, allowing it to survive parent termination.
avatar
Ethan Andrews@eandrews
avatar
Federal Signal Detections
5 months ago
8020
This rule detects unusual network connection patterns characterized by a high volume of connections to a remote IP address within a 5-minute window, combined with anomalous connection durations. Specifically, it flags scenarios where there are more than 1000 connections and either the 95th percentile of connection durations is very short (less than 50ms) or the 5th percentile of connection durations is very long (greater than 30000ms). These patterns can indicate activities such as network scanning, denial-of-service attempts, or command and control communication.
avatar
Ankit Mehta@Secvyn
avatar
Detections.ai Community
5 months ago
002
Detects DNS queries or network connections resolving to known Tycoon2FA credential harvesting, kill switch, and link management domains post-takedown. This rule specifically targets precise indicators of compromise (IoCs) associated with the rebuilt Tycoon2FA infrastructure.
avatar
Elgonad .@elgonad
avatar
Detections.ai Community
6 months ago
00147
This rule identifies 'chokepoint' devices within an environment based on their high number of inbound and outbound connections (at least 2 each). It then enriches these chokepoint devices with vulnerability and misconfiguration remediation recommendations from Microsoft Defender for Endpoint (MDE) TVM and Exposure Graph. The rule prioritizes remediation based on the calculated 'ChokepointScore' (InboundCount * OutboundCount) and indicates if the device has active exploits. This helps security teams focus remediation efforts on critical assets that could significantly impact the network if compromised.
avatar
Ethan Andrews@eandrews
avatar
Federal Signal Detections
6 months ago
110255
Detects anomalous or repetitive access to PAN-OS Captive Portal HTTP endpoints which may indicate active scanning for CVE-2026-0300 vulnerability exposure.
avatar
Elgonad .@elgonad
avatar
Detections.ai Community
6 months ago
70258
Detects the use of the CVE-2026-0300 scanner tool by its distinct User-Agent string attempting to identify vulnerable PAN-OS Captive Portals.
avatar
Elgonad .@elgonad
avatar
Detections.ai Community
6 months ago
00246
Detects unusual processes accessing the RDP Terminal Server Client Cache folder, indicating potential reconnaissance or staging for exfiltration. Attackers target this cache to exfiltrate and reconstruct image fragments of past remote sessions.
avatar
Brandon Rodriguez@BMRodriguez
avatar
Detections.ai Community
6 months ago
141535
Detects unusual processes accessing the RDP Terminal Server Client Cache folder, indicating potential reconnaissance or staging for exfiltration. Attackers target this cache to exfiltrate and reconstruct image fragments of past remote sessions.
avatar
Brandon Rodriguez@BMRodriguez
avatar
Federal Signal Detections
6 months ago
70514
Page 43 of 63