Detections

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

7,276 detections

Detects the creation or modification of 'gh-token-monitor.sh', a script identified as part of the Miasma toolkit, used for harvesting developer credentials. This script's presence or alteration on a system indicates potential credential access attempts.
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Ibrahim Saud@tektrix
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Detections.ai Community
5 months ago
002
Detects modifications to user profile scripts (.profile, .bash_profile) that inject 'gh-token-monitor' or 'spectralviper' to establish persistence upon user login.
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Ibrahim Saud@tektrix
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Detections.ai Community
5 months ago
002
Detects the creation of hidden files (starting with a dot) in the `/tmp` directory on Linux systems. This behavior can be indicative of malware like Miasma hiding intermediate exfiltration data or configuration files.
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Ibrahim Saud@tektrix
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Detections.ai Community
5 months ago
002
Detects unauthorized access to the .npmrc file by unusual processes. Miasma targets this file to hijack NPM publishing rights and propagate supply chain attacks. The rule specifically looks for file access events on '.npmrc' where the initiating process is not a known legitimate NPM-related tool like 'npm', 'node', 'bun', or 'yarn'.
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Ibrahim Saud@tektrix
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Detections.ai Community
5 months ago
002
Detects instances where 'wget' is used to download content and pipe it directly into a shell interpreter (bash, sh, or zsh). This technique is often used for fileless execution, allowing adversaries to download and execute malicious scripts without writing them to disk.
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Ibrahim Saud@tektrix
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Detections.ai Community
5 months ago
002
Identifies execution of the Python credential stealer script named detect_malware.py, associated with the UNK_DeadDrop phishing campaign.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
Detects Python processes accessing sensitive credential paths, a common post-exploitation step for malicious ML models (e.g., CVE-2026-4372). The rule specifically looks for Python executables accessing paths commonly associated with cloud (AWS) or container (Kubernetes) credentials. It includes exclusions for known legitimate ML pipeline scripts to reduce noise.
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Ethan Andrews@eandrews
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Federal Signal Detections
5 months ago
5014
Detects modification of SSH authorized_keys files for backdoor access
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
103
Detects enumeration of Docker containers and images
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
103
Identifies shell commands associated with downloading architecture-specific payloads (e.g., mips, mipsel) commonly used by IoT/SOHO botnet droppers like the JDY botnet.
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Ethan Andrews@eandrews
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Federal Signal Detections
5 months ago
4013
This rule detects successful network connections from devices to a list of known botnet command and control (C2) IP addresses. This indicates potential compromise and communication with malicious infrastructure.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
102
This rule detects the use of the 'chattr +i' command over a network connection to port 22 (SSH). The 'chattr +i' command on Linux is used to make a file immutable, meaning it cannot be modified, deleted, or renamed, even by the root user. This behavior can be indicative of an attacker attempting to prevent forensic analysis or hinder system recovery by protecting their malicious files or modifying critical system files.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
009
This rule detects attempts to copy the /etc/shadow file, which contains hashed user passwords, for offline password cracking. It specifically looks for the string "cat /etc/shadow" in TCP traffic destined for the home network on any port, indicating a potential exfiltration attempt or preparation for credential access. The rule is designed to alert on established connections where this specific command is observed.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
009
Detects creation of malicious container services via Docker API for persistence
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
004
Detects Linux ptrace system call abuse for process injection
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
104
Detects downloads of executable scripts directly from raw GitHub URLs
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
004
Detects automated credential spraying and lateral movement attempts using the sshpass utility targeting common Oracle/PeopleSoft usernames. This specific combination of parameters and targeted accounts matches the bash script deployment mechanism utilized by the ShinyHunters extortion gang.
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Ethan Andrews@eandrews
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Federal Signal Detections
5 months ago
7012
Detects queries to internet-wide scan databases for target infrastructure reconnaissance
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
005
Detects creation of setuid binaries used for Linux privilege escalation
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
005
This rule detects process command lines that indicate an attempt to execute a one-line install command from a GitHub raw content URL, often associated with untrusted or malicious projects. It specifically looks for common command-line tools used for downloading and executing scripts (like iex, Invoke-WebRequest, curl, wget, msiexec, Start-Process) in conjunction with keywords suggesting fake software or plugins (e.g., ChatGPT, Claude, AutoTune, Kontakt, plugin, installer).
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Daniel Jeremiah@daniyyell
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Detections.ai Community
5 months ago
109
This rule detects the execution of the 'dd if=/dev/zero' command over an SSH connection. This command is commonly used to wipe disk content by overwriting it with zeros, which can be an indicator of malicious activity aimed at destroying data or hindering forensic analysis. The rule specifically looks for this string within TCP traffic directed to port 22 (SSH).
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
008
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