Detections

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

7,143 detections

Photo-themed ZIP phishing campaign dropping a Node.js implant
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
002
ClickFix style social engineering cluster delivering Mistic and ModeloRAT
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
002
Cloud extortion group exploiting exposed credentials and storage
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
002
Cloud extortion group exploiting exposed credentials and storage
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
102
Fraud framework powering scam domains for crypto and gambling schemes
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
002
Loader malware delivering follow-on ransomware payloads
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
002
Ransomware group exploiting edge devices and managed file transfer software
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
002
Detects instances where package managers like npm, pip, or python execute shells or scripting interpreters with command-line arguments indicative of software installation or build processes. This pattern is common in supply chain attacks where malicious packages run code during their installation phase.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
002
Detects unauthorized modifications to FreeBSD init scripts located in /etc/rc.d/, /usr/local/etc/rc.d/, or /etc/rc.subr. These directories are used for system service startup. The rule specifically monitors for modifications related to the BRICKSTORM persistence mechanism, which targets these scripts to execute malicious binaries such as /usr/local/libexec/ipsec/blacklist.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
This rule detects potentially malicious activity related to the cron utility, including the modification of cron-related configuration files and the execution of specific suspicious payloads (e.g., ssync.sh, blacklist). It monitors for file creation, modification, or renaming events within sensitive directories, as well as the spawning of processes by cron daemons using identified suspicious paths or command names.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Detects anomalous process execution patterns indicative of privilege escalation or persistence on Linux systems. Specifically monitors for unexpected root shell access from non-privileged service accounts (e.g., www-data, apache), abuse of sudo for modifying privileged system files via tee, and execution of binaries from world-writable directories such as /tmp or /dev/shm, which is a common behavior during exploit staging.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Detects SSH, SFTP, or SCP connections originating from internal edge appliances such as pfSense firewalls or Synology NAS devices directed at internal network hosts. This activity is consistent with VerdantBamboo BRICKSTORM lateral movement, where compromised edge infrastructure is leveraged as a pivot point to gain access to the internal network.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
102
Detects the presence of files known to be associated with malicious activity by matching their SHA256 hashes against a list of known bad indicators.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
202
Detects network activity initiated by qemu-system-x86_64.exe to internal subnets using common lateral movement ports (21, 88, 389, 445, 636) or the execution of known tools netbird.exe or cookie_exporter.exe. This rule flags potential virtualization-based lateral movement or unauthorized tool usage.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Detects suspicious modifications to .github/workflows YAML files, unauthorized git commits with backdated timestamps, usage of noreply.github.com bot author names, and git push commands initiated by node.exe. This activity is indicative of the IronWorm malware attempting to manipulate CI/CD pipelines and exfiltrate secrets.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
102
This rule detects instances where npm or node.js processes are used to execute or spawn setup-related binaries or specific GitHub precheck scripts. This behavior is often associated with software deployment, CI/CD pipelines, or potentially malicious automation within development environments.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Detects network connection activity originating from QEMU virtualization processes (qemu-system-x86_64, qemu-system-i386, qemu-system-aarch64) to external (non-private/non-local) IP ranges. This could indicate the use of virtualization tools to facilitate tunneling, proxying, or lateral movement within an environment.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
This rule monitors for suspicious activity associated with npm or Node.js processes. This includes potential credential misuse during npm publish or login, unauthorized build-time execution via node-gyp, and the use of unconventional preinstall/postinstall hooks that spawn external binaries or scripts, which are often indicative of software supply chain attacks.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Detects suspicious 'npm publish' or 'npm login' commands executed as child processes of 'node' or 'npm'. This pattern indicates programmatic execution from within package install hooks (such as preinstall or postinstall scripts) instead of manual developer interaction, a behavior characteristic of malicious npm supply chain attacks (e.g., IronWorm) aiming to trojanize packages using stolen tokens.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Detects instances where a Node.js process accesses, creates, or modifies sensitive files such as SSH private keys, AWS credentials, or application configuration files (.npmrc, .pypirc, .docker/config.json). This behavior is often indicative of credential theft or unauthorized configuration access by a compromised Node.js application.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
102
Detects in-memory execution of the MYRA RAT originating from a node.exe process. The rule monitors for suspicious process creation patterns associated with fileless techniques, including execution from memory file descriptors (memfd), /proc/self/fd, or empty process image paths, as well as unauthorized process interaction with systemd-userdbd, indicative of node.js supply chain compromises.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
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