Detections

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

7,144 detections

Detects git checkout of a bare 40-hex commit SHA or the literal FETCH_HEAD ref, executed by a recognized AI coding-agent process. Narrowed to the Plugin4Shell exploitation fingerprint (checkout of a pinned-SHA-shaped or FETCH_HEAD ref) rather than ordinary branch/tag checkouts, which these agents perform constantly during normal plugin installs.
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Arnold Chan@slaz
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Hunters
1 month ago
002
Detects git checkout of a bare 40-hex commit SHA or the literal FETCH_HEAD ref, executed by a recognized AI coding-agent process. Narrowed to the Plugin4Shell exploitation fingerprint (checkout of a pinned-SHA-shaped or FETCH_HEAD ref) rather than ordinary branch/tag checkouts, which these agents perform constantly during normal plugin installs.
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
002
Detects the execution of Python scripts named 'exploit.py' or 'exp.py', which are common naming conventions associated with proof-of-concept or exploit code.
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Ankit Mehta@Secvyn
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SlimKQL
1 month ago
002
Detects potential exploitation of CVE-2026-87886 in the Acronis Backup plugin for cPanel & WHM, where an adversary uses insecure file permissions to elevate privileges. The rule monitors for execution of file permission or ownership changing utilities (chmod, chown) targeting files associated with backup plugins.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
004
Detects execution and file artifacts associated with the 'fscan' network scanning tool, which is commonly used for internal network discovery and vulnerability scanning. The rule monitors for the presence of the fscan binary or evidence of its output files, specifically 'result.txt', often in combination with scanning parameters like port strings or target service references.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
002
This rule detects potentially malicious command execution patterns in Linux environments. It monitors for shell commands (bash, sh, echo, tee, cat) involving base64 decoding redirected to shell configuration files (e.g., .profile) or specific patterns involving 'gs-dbus' processes, which are often used by threat actors to decode obfuscated payloads or maintain persistence.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
002
Detects unauthorized devices or processes attempting to communicate with the Telegram Bot API (/sendMessage or /sendDocument) and monitors for credential-related terms within the request metadata. This often indicates the use of Telegram as a command-and-control (C2) channel for data exfiltration or credential theft.
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Ankit Mehta@Secvyn
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Detections.ai Community
2 months ago
3046
Detects network traffic consistent with the download of XMRig cryptocurrency miner release tarballs from GitHub, typically used in malicious deployment scenarios including automated cron-triggered installations.
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Ibrahim Saud@tektrix
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Detections.ai Community
30 days ago
000
These rules monitor for suspicious WordPress authentication activity, including brute force and credential spraying attacks targeting XML-RPC endpoints and the standard wp-login.php interface. The rule set includes detections for high-frequency login attempts and subsequent indicators of potential successful authentication.
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Ibrahim Saud@tektrix
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Detections.ai Community
30 days ago
000
Detects a malicious command sequence targeting Redis instances where an attacker uses 'CONFIG SET' to modify the 'dir' and 'dbfilename' configuration directives followed by a 'SLAVEOF' or 'REPLICAOF' command. This is a common exploit pattern used to achieve remote code execution by forcing the Redis instance to load a malicious database file (often containing binary webshells or cron jobs) from an attacker-controlled server.
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Ibrahim Saud@tektrix
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Detections.ai Community
30 days ago
000
Detects the deployment and activity of SilkParasite-associated Linux threats, including XMRig cryptocurrency miner shell scripts and standalone Meterpreter agents. The rule also captures the execution of a custom Python fleet-scanning tool used to interact with exposed Redis instances for unauthorized command execution and infrastructure management.
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Ibrahim Saud@tektrix
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Detections.ai Community
30 days ago
000
Detects outbound HTTP GET requests containing a specific '/ping' URI pattern and 'h=' query string parameter, characteristic of Redis-based cryptomining botnet C2 heartbeat check-ins.
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Ibrahim Saud@tektrix
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Detections.ai Community
30 days ago
000
Detects the creation of persistence mechanisms on Linux systems using APT Pre/Post-Invoke hooks (e.g., /etc/apt/apt.conf.d/99sys-update) or user profile initialization scripts (e.g., /etc/profile.d/sys-init.sh). The rule monitors for these files containing suspicious command strings such as curl downloads, xmrig mining configurations, or specific init-hook markers often used by cryptomining botnets.
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Ibrahim Saud@tektrix
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Detections.ai Community
30 days ago
000
Detects instances where a Redis server process, or its child process, writes a file named 'verify.html' into the web root directory '/var/www/html/'. This behavior is characteristic of adversaries abusing compromised Redis instances to deploy web shells or command-and-control beacons for persistent access.
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Ibrahim Saud@tektrix
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Detections.ai Community
30 days ago
000
Detects the presence of XMRig cryptocurrency miner ELF binaries by scanning for unique structural strings and configuration flags indicative of XMRig operations. This rule uses YARA to inspect binary file contents, enabling detection of miners regardless of their on-disk filename or obfuscation techniques such as hiding them within dotfiles.
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Ibrahim Saud@tektrix
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Detections.ai Community
30 days ago
000
This rule detects the execution of npm or node.js commands involving specific, potentially malicious package names or internal project naming patterns often associated with dependency confusion or supply chain attacks. It monitors npm/node CLI arguments for targeted library names or installation commands that deviate from standard organizational behavior.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
002
This rule detects command-line activity where a remote resource is downloaded via 'curl', decoded using 'base64', and then piped directly into a shell interpreter (sh, bash, or zsh). This pattern is commonly used in fileless execution or stage-one payload delivery by attackers to execute malicious scripts directly from memory.
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Arnold Chan@slaz
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Hunters
1 month ago
203
This rule detects the creation of cron jobs in /etc/cron.d/ that are associated with known miner file names (e.g., redis-miner, xminer). It explicitly looks for instances where the initiating process or its parent process is associated with Redis, suggesting a compromise or exploitation of a Redis service to establish persistence for a crypto miner.
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Arnold Chan@slaz
Defender - KQL
1 month ago
001
This rule detects the creation of cron jobs in /etc/cron.d/ that are associated with known miner file names (e.g., redis-miner, xminer). It explicitly looks for instances where the initiating process or its parent process is associated with Redis, suggesting a compromise or exploitation of a Redis service to establish persistence for a crypto miner.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
001
This rule detects the creation of cron jobs in /etc/cron.d/ that are associated with known miner file names (e.g., redis-miner, xminer). It explicitly looks for instances where the initiating process or its parent process is associated with Redis, suggesting a compromise or exploitation of a Redis service to establish persistence for a crypto miner.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
001
Detects malicious activities associated with the SilkParasite campaign targeting Redis servers. The rules identify the initiation of a 'SLAVEOF' command to a rogue replication host, subsequent handshake (PSYNC/REPLCONF) with an external attacker-controlled node, and the modification of server configuration ('CONFIG SET dbfilename') to potentially facilitate unauthorized file persistence or data exfiltration through the Redis replication mechanism.
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
001
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