Detections

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

7,276 detections

This rule detects attempts to enumerate Docker images via the Docker API. Specifically, it looks for HTTP requests to the '/images/json' endpoint on TCP port 2375, which is commonly used for unauthenticated Docker API access. This activity can indicate an adversary performing reconnaissance on a system to understand its Docker environment.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
008
This rule detects attempts to perform raw disk access via SSH, specifically looking for the 'dd if=/dev/sd' command within SSH traffic. This activity could indicate an attacker trying to bypass volume-based security controls or exfiltrate data directly from disk partitions.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
105
This rule detects network traffic containing the string "chmod 777" followed by "/tmp/" (case-insensitive) within a TCP flow to a server on port 22. This pattern suggests an attempt to change file permissions to world-writable (777) in the /tmp directory, which is a common tactic used by malware to hide or execute malicious files.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
005
This rule detects attempts to perform process injection using the 'ptrace' system call, specifically looking for 'ptrace' and 'PTRACE_ATTACH' within TCP traffic destined for SSH (port 22). This activity is indicative of an attacker trying to attach to a running process, often for debugging, modifying its memory, or injecting malicious code, potentially after gaining remote access via SSH.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
006
Detects the initial execution phase of the Phantom Gyp technique where a node-gyp rebuild command is abused to execute a silent payload and return a fake C stub file. This behavior is associated with the Miasma npm supply chain attack.
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Duo Tech@duotech
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Detections.ai Community
5 months ago
2012
Detects Shellshock bash CGI exploitation attempts
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
001
Detects creation of XDG autostart entries for Linux desktop persistence
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
001
Detects bulk scraping of LinkedIn company profiles for employee intelligence
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
001
Detects processes ignoring termination signals to prevent shutdown
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
001
Detects access to AWS credentials files for cloud account credential theft
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
001
Detects legitimate software deployment tools used for remote execution
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
001
Detects creation of XDG autostart entries for Linux desktop persistence
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
001
Detects use of raw sockets for implementing socket filter backdoors
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
001
Detects compilation of delivered source code payloads to evade file-based detection
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
001
Detects Unix shell commands executed via web application context
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
001
This rule detects a high volume of file creation events (100 or more within an hour) occurring in common development-related directories such as 'node_modules', 'packages', or 'vendor'. This activity can be indicative of legitimate software development processes like dependency installation or project builds. However, it can also signal malicious activity, particularly if observed on systems not typically used for development, or as part of a supply chain compromise where malicious dependencies are being introduced or built.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
003
This rule detects processes making a high volume of successful network connections (3 or more within an hour) to domains containing 'codeartifact' or 'artifactory'. This behavior could indicate an attempt to download tools, libraries, or other artifacts, potentially as part of an ingress tool transfer or supply chain attack.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
003
This rule detects a high volume of network connections (10 or more within an hour) from a single process to remote URLs containing 'artifact' or 'maven' on standard HTTP (port 80) or HTTPS (port 443) ports. This activity could indicate legitimate software development or build processes, but also potentially malicious activities such as supply chain compromise, data staging, or exfiltration of development-related artifacts.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
003
This rule detects network traffic containing the string ".bashrc" on TCP port 22 (SSH). This could indicate an attempt to modify a user's shell profile for persistence, as .bashrc is a common file used to configure the Bash shell environment and can be leveraged by attackers to execute malicious commands upon login.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
006
This rule detects attempts to modify the SSH daemon configuration file (sshd_config) remotely over an established TCP connection to port 22. The detection is based on the presence of the string "sshd_config" within the network flow, indicating potential remote manipulation of SSH authentication settings.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
006
This rule detects attempts to push firmware or bootkit images to a device via a remote SSH session. It specifically looks for the commands 'dd if=' and '/dev/' within TCP traffic directed to port 22 (SSH), indicating an attempt to write data directly to a device file, which is a common method for flashing firmware or installing bootkits.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
006
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