Detections

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

7,141 detections

Detects indicators of the BUMSRAKETE exploit, specifically looking for malicious binary names, staging files, and a high-frequency loop pattern involving SUID binaries (su, passwd) by unprivileged users. This pattern is consistent with a kTLS page-cache corruption exploit targeting CVE-2026-45257.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
Detects instances where JavaScript runtime processes (node, npm) execute specific peer-related or verification scripts and subsequently access sensitive system files or directories, such as SSH configurations, AWS credentials, or browser data, within a 5-minute window.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
Detects execution of the Tailscale or Tailscaled process that is not initiated by standard system or management processes. This may indicate unauthorized installation or use of the Tailscale VPN software for covert command and control or lateral movement, especially when combined with immediate network activity to Tailscale infrastructure or ports.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
This rule detects potentially malicious activity related to Node.js environments. It monitors for the execution of Node.js or NPM commands involving specific sensitive files ('sync-peer.cjs', 'peer-math.js') or suspicious packing destinations, as well as the creation of 'index.js' or 'package.json' files within a 'node_modules' directory, which can indicate software supply chain manipulation or malicious dependency installation.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
Detects the creation of suspicious cron jobs related to Node.js or npm processes, specifically looking for indicators of post-installation scripts or recurring tasks that might suggest malicious activity, such as supply chain compromise or persistence mechanisms.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
Detects execution patterns associated with fileless techniques on Linux systems, specifically looking for the usage of the memfd_create system call or referencing /proc/self/fd/ to execute code directly from memory. These methods are frequently used by adversaries to load and run malicious payloads without writing files to disk, bypassing traditional file-based antivirus scanners.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
Detects instances of the 'systemd-userdbd' process that are either spawned from an unexpected parent process or exhibit path-based anomalies (such as running from 'node' or 'node_modules' directories), which may indicate masquerading or malicious activity.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
Detects the presence and activity of Tailscale VPN, including process execution, command-line arguments, network connections to Tailscale infrastructure, and communications within the Tailscale CGNAT address range (100.64.0.0/10). This rule identifies the potential use of Tailscale for tunneling or remote access, which may be unauthorized in some environments.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
Detects Node.js processes or npm-related parent processes writing suspicious files (e.g., .cjs, .tgz, package.json) into the node_modules directory. This behavior is often indicative of malicious supply chain activities, such as dependency confusion or post-install script injections observed in campaigns like Operation Poisson.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
Flags executables whose embedded metadata identifies them as Cloudflared while the filename differs from expected distribution names, suggesting potential evasion through binary renaming.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
101
This rule monitors and alerts on network connections established from endpoints to a predefined list of known malicious IP addresses, which may indicate command-and-control (C2) communication or unauthorized exfiltration attempts.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
101
This rule detects network connections where the HTTP request URL or specific HTTP cookies match patterns often associated with command and control infrastructure or specific tracking beacons. It triggers on connections to 'financemachinelearning.com/apparatus/wind/twig/statement.html' or requests containing cookies like 'zd_cs_pm' or 'euconsent-v2'.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
Detects network beaconing activity associated with the SPECTRALVIPER C2 framework. This rule identifies outbound HTTP GET requests targeting known C2 infrastructure domains and IP addresses, while correlating the traffic with specific browser user agents and cookie patterns indicative of this actor.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
101
Detects file modification or creation events affecting critical authentication components, specifically Pluggable Authentication Modules (pam_unix.so) and OpenSSH binaries (sshd, ssh, scp). Such activity is highly indicative of an attempt to backdoor the authentication process to facilitate unauthorized access or credential theft, as observed in Operation Highland.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
101
Detects the modification or creation of shared object files (.so) within common Linux Pluggable Authentication Modules (PAM) directories. Adversaries often modify these modules to establish persistence, capture credentials, or create backdoors for authentication bypass.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
This rule detects modifications to Nginx configuration files (nginx.conf, or files within conf.d, sites-enabled, or sites-available directories) by processes other than authorized system management tools (e.g., nginx, apt, ansible). It further correlates these file modifications with subsequent Nginx configuration reloads, which is a common behavior when an adversary attempts to apply malicious configuration changes to a web server.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
This rule monitors for signs of Atlas RAT activity on Linux systems, including the execution of processes matching known Atlas RAT naming conventions, unauthorized modifications to system persistence mechanisms (systemd or init.d directories) by non-package management utilities, and anomalous outbound network connections originating from sshd or PAM-related processes.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
This rule detects unauthorized modifications or creations of files within critical Linux Pluggable Authentication Module (PAM) directories (such as /etc/pam.d/ and /lib/security/). Attackers often target these files to implement backdoors, bypass authentication mechanisms, or harvest credentials. The rule excludes common package management tools to minimize false positives.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
Detects suspicious behavior involving the 'uptime' system utility, including execution from non-standard paths, unexpected outbound network connections, spawning child processes, or replacement of the legitimate /usr/bin/uptime binary. These behaviors are indicative of masquerading or binary hijacking.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
This rule monitors Linux authentication logs for anomalies related to Pluggable Authentication Modules (PAM). It identifies potential security risks by detecting file operations (read, write, create) within PAM-related processes, references to world-writable or temporary directories that may be used for staging credentials, and unusual authentication event patterns.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
Detects instances of the 'smbd' process executing from non-standard locations or initiating network connections on ports other than the default SMB ports (139, 445), which may indicate a rogue service, masquerading, or network pivoting activity.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
101
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