Detections

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

7,141 detections

This rule monitors DNS queries and network connections for access to a set of known domain names associated with Adversary-in-the-Middle (AiTM) phishing infrastructure. It correlates data from DNS events, device network logs, and virtual machine network connections to identify potential interactions with malicious phishing sites typically used to capture user credentials or session tokens.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
002
This rule detects suspicious activity associated with the Bun runtime after an npm package install. It flags instances where Bun, or download utilities (curl/wget) fetching 'bun.sh', are spawned from Node.js-related processes (npm, node, node-gyp) particularly when located in common temporary or cache directories, indicating potential supply chain compromise or unauthorized runtime deployment during build processes.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
102
Detects the execution of Dropbear SSH binaries (dropbear, dropbearkey, dropbearmulti) on identified OT, ICS, or SCADA assets. The rule flags suspicious configurations such as the use of non-standard ports (2222, 44818), remote port forwarding, or running in the foreground, which may indicate unauthorized remote access or tunneling on sensitive operational technology infrastructure.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
002
This rule detects potentially malicious software supply chain attacks by identifying suspicious child processes spawned by package managers (pip, npm) or Python scripting engines within a short timeframe. It specifically looks for shells (cmd, powershell, bash, etc.) being invoked immediately after a package installation or script execution, and correlates this activity with suspicious outbound network connections originating from these processes.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
105
Detects disabling of Linux audit daemon to remove security monitoring
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Darshan Thummar@Mighty
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Detections.ai Community
4 months ago
004
Detects upload of encrypted archive files indicating staged exfiltration
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Darshan Thummar@Mighty
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Detections.ai Community
4 months ago
004
This rule detects multiple outbound network connections to a specific set of known malicious C2 IP addresses on specific ports within a one-hour window. This behavior is indicative of a multi-payload delivery pattern associated with malware families such as Remcos, Agent Tesla, and RedLine.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
306
Detects reading of /etc/shadow file for offline password cracking
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Darshan Thummar@Mighty
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Detections.ai Community
4 months ago
004
Detects use of dd command to wipe disk content for data destruction
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Darshan Thummar@Mighty
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Detections.ai Community
4 months ago
104
Detects the spawning of /bin/sh or /bin/bash as a direct child process of ffmpeg, jellyfin, or nextcloud. This behavior is often indicative of exploitation attempts against these media and storage services, potentially leveraging remote code execution vulnerabilities.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
007
Detects unauthorized execution of MeshCentral's meshctrl.js to interface with a local WebSocket endpoint on PeopleSoft servers, likely indicative of session hijacking post-exploitation of CVE-2026-35273 by the ShinyHunters threat group.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
107
Detects the spawning of suspicious shell processes (sh, bash, cmd.exe) by media processing applications like ffmpeg, ffprobe, jellyfin-ffmpeg, jellyfin, or nextcloud. This activity is often indicative of an adversary exploiting a vulnerability in these applications to gain initial access or execute arbitrary commands, potentially leading to further compromise. The rule specifically looks for suspicious command-line arguments that suggest interactive shells, network connections, or direct command execution.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
309
Detects the OpenClaw AI agent process spawning shell interpreters (bash, sh, zsh) or network utilities (curl, python3) with command-line arguments indicative of base64-encoded payload execution. This behavior often suggests malicious markdown-based skill execution attempting to bypass sandboxing by the ClawHavoc threat actor.
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Ethan Andrews@eandrews
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Federal Signal Detections
4 months ago
107
Identifies file, registry, network, and process indicators associated with the @mastra/* npm supply chain compromise. This rule detects the presence of specific malicious files, registry modifications for persistence, outbound network connections to known command and control (C2) infrastructure, and the execution of malicious scripts related to the attack.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
6162
Detects a potential privilege escalation attempt where an unprivileged user executes a SUID-capable binary (su, sudo, passwd), followed immediately by the creation of a root-owned shell process. This pattern is indicative of exploitation of local privilege escalation vulnerabilities, such as page cache poisoning (e.g., CVE-2026-46331).
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
104
Detects access or creation of 'mcp.json' files within the '.amazonq' directory immediately following a 'git clone' operation. This sequence may indicate potential unauthorized access or exfiltration of Amazon Q assistant configurations or cached data associated with development environments.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
804
Detects the suspicious combination of 'aa-exec' (commonly associated with AppArmor or specific container runtime wrappers) being followed by the execution of 'unshare' with flags used to manipulate kernel namespaces (user, network). This pattern is often indicative of container breakouts or privilege escalation attempts where an adversary leverages namespace isolation to gain higher privileges on the host.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
004
Detects the execution of the 'unshare' utility by non-root users with flags designed to create new user or network namespaces. This behavior is often associated with container escape attempts, privilege escalation, or efforts to bypass local security controls by creating isolated environments.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
104
Detects evidence of the DirtyClone (CVE-2026-43503) Linux kernel privilege escalation exploit. The rule identifies a multi-stage attack chain, including the compilation of the exploit binary, creation of unprivileged user and network namespaces required for the exploit, and the use of the 'ip' utility to configure XFRM states/policies for page cache corruption.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
004
Detects suspicious command-line activity indicative of an adversary attempting to disable security controls (such as SELinux, AppArmor, UFW, and IPTables) or performing cleanup and maintenance tasks on suspected cryptominer-related files on a Linux system.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
004
Detects in-memory privilege escalation patterns associated with the 'DirtyClone' (CVE-2026-43503) vulnerability. The rule monitors for a sequence of events where an unprivileged process utilizes 'unshare' to create user and network namespaces in conjunction with IPsec XFRM tunnel configurations, immediately followed by the execution of 'su' or 'sudo', resulting in unauthorized root access without disk-based modification of binary files.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
004
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