Detections

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

5,158 detections

Detects direct connections to cloud VMs via Azure Bastion or GCP IAP
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
002
Detects brute force attacks against IMAP email accounts
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
Detects password spraying attacks targeting LDAP for domain accounts
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
103
Detects enumeration of active network connections for discovery
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
Detects OS-level TCP connection exhaustion for denial of service
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
103
Detects bulk harvesting of Teams messages for credentials or sensitive data
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
103
Detects access to device firmware version pages for vulnerability assessment
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
Detects outbound HTTPS traffic to known malicious infrastructure (supp0v3[.]com), used across all campaign waves for credential theft and remote access.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
5013
This rule detects attempts to query the Windows Registry remotely for the 'HKLM\Software\RealVNC' key over TCP port 445 (SMB). This activity is indicative of an attacker attempting to locate stored credentials, specifically those related to RealVNC, which could then be used for further lateral movement or privilege escalation. The detection is based on the presence of the string 'HKLM\Software\RealVNC' in the network traffic.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
005
This rule detects DNS queries that contain non-standard hex-encoded data, which is often indicative of Command and Control (C2) communication. Specifically, it looks for DNS queries where the query name contains a sequence of 32 or more hexadecimal characters (0-9, a-f). This pattern is frequently used by malware to exfiltrate data or receive commands via DNS tunneling, where data is encoded into subdomains.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
005
This rule detects potential air-gap bridging activity via removable media. Specifically, it looks for SMB traffic on port 445 containing the string "USBSTOR" (case-insensitive) and the file extension ".bin" (case-insensitive). This combination suggests a file transfer related to USB storage, possibly a firmware update or a malicious payload, being moved across a network segment, potentially bypassing an air-gapped system.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
005
This rule detects attempts to perform remote DLL injection via UNC path writes over SMB. It specifically looks for SMB traffic to port 445 on the home network, containing ".dll", "\\", and "System32" in a case-insensitive manner. This combination suggests an attempt to write a DLL file to a System32 directory on a remote machine using a UNC path, which is a common technique for DLL injection.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
008
This rule detects attempts to create a setuid binary on a remote host via an SSH connection. It specifically looks for the string "chmod u+s" within TCP traffic destined for port 22 (SSH), indicating a command to set the setuid bit on a file. This activity is often associated with privilege escalation attempts where an attacker tries to create a backdoor or maintain persistence with elevated privileges.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
008
This rule detects potential parent PID spoofing attempts by monitoring HTTP traffic for the presence of specific Windows API calls related to process creation and attribute modification. Specifically, it looks for 'UpdateProcThreadAttribute' and 'PROC_THREAD_ATTRIBUTE_PARENT_PROCESS' in the file data of HTTP responses, indicating that a client might be receiving instructions or code to perform parent PID spoofing.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
008
Recent reporting indicates the campaign targeted GitHub repositories by inserting malicious GitHub Actions / CI workflows designed to steal secrets and credentials.

5,561 repositories were affected in roughly six hours

Attackers pushed 5,718 malicious commits.

The objective was credential theft from CI/CD environments, including:
cloud credentials
SSH keys
access tokens
CI/CD secrets
The campaign reportedly used:
fake automation-style commit identities such as build-bot, ci-bot, or similar
malicious .github/workflows changes

workflow triggers that either:
executed automatically on push / pull request, or
remained dormant until manually triggered
Web reporting further states the payload collected environment variables, cloud metadata credentials, and repository runner secrets, then exfiltrated them to 216.126.225.129:8443.
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Subash Ghimire@iamsubashg
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Detections.ai Community
5 months ago
1015
Detects an unusually high volume of web requests (1000 or more per minute) originating from a single IP address to an IIS web server. This pattern can indicate various malicious activities such as brute-force attacks, denial-of-service (DoS) attempts, or aggressive web scanning.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
004
This rule detects potential information disclosure attempts by monitoring W3C IIS logs for repeated queries containing keywords like 'version', 'build', or 'debug'. A high frequency (5 or more attempts within an hour) from a single IP address suggests an adversary is trying to enumerate software versions or debug information, which can be used for further reconnaissance or exploit development.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
004
This rule detects a high volume of access attempts to the IPC$ administrative share from a single source IP address within a one-hour window. This behavior can be indicative of reconnaissance, lateral movement, or other malicious activities using SMB/Windows Admin Shares.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
004
This rule detects a DCSync attack by looking for the "DsGetNCChanges" string in TCP traffic on port 389 (LDAP). DCSync is a technique used by attackers to simulate a domain controller and request directory replication, allowing them to extract password hashes and other sensitive information from Active Directory.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
6010
Detects network connections downloading the Bun runtime from the oven-sh GitHub repository, a behavior exhibited by the Hades loader. This rule specifically looks for HTTP network events where the URL contains 'github.com' and 'oven-sh/bun/releases/download', indicating an attempt to download the Bun runtime.
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Duo Tech@duotech
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Detections.ai Community
5 months ago
0012
This rule detects a pattern indicative of a rogue network device performing keyboard injection. It specifically looks for the case-insensitive string "HID" (Human Interface Device) within TCP traffic flowing from a client to a server, with a threshold of 3 occurrences within 5 seconds from the same source. This behavior is often associated with devices like USB Rubber Ducky or similar tools used for automated keystroke injection.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
008
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