Detections

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

3,240 detections

Detects behavioral characteristics of the Needle Rust desktop agent: an unsigned Rust PE in the 5-50MB range, executing from user-writable paths, and establishing the Run-key persistence the agent installs at HKCU\SOFTWARE\Microsoft\Windows\CurrentVersion\Run. The Rust panic-handler source paths (src/views/zelcore/app.rs, src/views/trezor/seed_panel.rs, src/views/ledger/screens/seed_recovery.rs) are also surfaced via the binary's data section and are extremely high-fidelity if visible in any command-line or memory-scan telemetry. This rule pairs the persistence registration with the agent execution context.
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Tim Peck@timpeck
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Detections.ai Community
6 months ago
20493
Detects suspicious command execution originating from cPanel daemons. This rule identifies instances where cPanel processes (cpsrvd, cpsrvd-ssl, cpaneld, whostmgrd) or their immediate children execute common shell interpreters or specific commands indicative of potential compromise, such as writing to /etc/passwd, modifying authorized_keys, or using base64/perl/python/bash for interactive shells.
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Aitor Fernández@DarkW0lf
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Detections.ai Community
6 months ago
3001,669
This rule detects suspicious command-line patterns indicative of obfuscation, encoding, or stealth techniques often used by adversaries. It scores various characteristics such as hidden window styles, variable manipulation, string operations, and decoding functions (e.g., Base64, Gzip, Deflate). The rule filters out known legitimate processes and command-line boilerplate to reduce false positives and classifies detections based on the highest scoring obfuscation category.
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Sotiris Mavrakis@smavrakis
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Detections.ai Community
6 months ago
90454
Identifies the first time a specific local Model Context Protocol (MCP) server configuration is executed on a device within the last 24 hours. This rule uses a 7-day historical baseline to filter out previously seen regular activity. It groups rapid-fire child processes spawned by varying MCP initiator arguments (e.g., claude.exe --strict-mcp-config vs --squirrel-firstrun) into a single, consolidated 5-minute session alert.
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Josh Vaxen@JVax
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Detections.ai Community
6 months ago
131428
Detects the creation of DaemonSets in a Kubernetes cluster using the `kubectl` command-line tool. DaemonSets are designed to run a copy of a Pod on all (or some) nodes in the cluster, making them a powerful mechanism for persistence and cluster-wide credential harvesting by attackers. This rule specifically looks for `kubectl` commands that include 'daemonset' and either 'create' or 'apply' operations.
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Lacey Cochrane@NullVectorX
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XQL Threat Forge
6 months ago
20253
Identifies the first time a specific local Model Context Protocol (MCP) server configuration is executed on a device within the last 24 hours. This rule uses a 7-day historical baseline to filter out previously seen regular activity. It groups rapid-fire child processes spawned by varying MCP initiator arguments (e.g., claude.exe --strict-mcp-config vs --squirrel-firstrun) into a single, consolidated 5-minute session alert.
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Josh Vaxen@JVax
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Detections.ai Community
6 months ago
100274
This rule detects the execution of commands that include 'splice' in conjunction with common privilege escalation utilities such as 'su', 'sudo', or 'passwd', or attempts to access '/etc/passwd'. This privilege escalation resembles Copy Fail.
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Danny Y@zendannyy
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Detections.ai Community
6 months ago
1401,187
Detects the execution of the 'gh auth token' command. This behavior was observed being used by the TeamPCP malicious npm package (hijacked @bitwarden/cli) via a shell collector script to harvest active GitHub CLI authentication tokens from developer endpoints.
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Danny Y@zendannyy
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Detections.ai Community
6 months ago
1701,092
High-confidence detection for probable Copy Fail exploitation requiring AF_ALG or algif_aead references, syscall-style splice usage, and privileged binary targeting. https://github.com/theori-io/copy-fail-CVE-2026-31431/blob/main/copy_fail_exp.py https://xint.io/blog/copy-fail-linux-distributions#how-we-found-it-9
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Mayur Aditya Bollaboina@cynik
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Detections.ai Community
6 months ago
140748
Detects suspicious command-line arguments indicative of potential credential access attempts (cmdkey /list), or execution of hidden processes (excluding Java applications), or communication with a known malicious domain (staybud.dpdns.org).
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Danny Y@zendannyy
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Detections.ai Community
6 months ago
120892
Detects the presence of JavaScript obfuscation indicators such as 'atob(', 'Blob(', or 'URL.createObjectURL' in process command lines. These functions can be used by malicious scripts to decode or create objects from obfuscated data, often as part of a defense evasion strategy.
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Ankit Mehta@Secvyn
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Detections.ai Community
6 months ago
20533
This rule detects processes with a command line containing 'socket' and various cryptographic keywords (copy.fail, algif_aead, authencesn, hmac.*sha256.*cbc.*aes). This combination can indicate suspicious related to Copy Fail CVE-2026-3143
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Danny Y@zendannyy
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Detections.ai Community
6 months ago
100670
Identifies potential network tunneling, proxying, and reverse shell activities by correlating process creation with outbound public network connections. This rule looks for known tunneling and proxy tool filenames and specific command-line arguments indicative of such activities, then correlates these process events with successful or attempted outbound network connections to public IP addresses.
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Muhammad Nameer@nameer
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Detections.ai Community
6 months ago
281632
This rule detects commands executed on Linux systems to mitigate the 'Copy Fail' vulnerability (CVE-2026-31431) related to the 'algif_aead' kernel module. It specifically looks for the dynamic unloading of the module using 'rmmod algif_aead' or the configuration of 'modprobe' to prevent the module from loading by setting 'install algif_aead /bin/false' in a modprobe configuration file.
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Elgonad .@elgonad
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Detections.ai Community
6 months ago
40394
https://thehackernews.com/2026/04/microsoft-confirms-active-exploitation.html
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Steven Lim@KQLWizard
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SlimKQL 2026
6 months ago
10251,327
Detects when AI-integrated IDEs or coding agents spawn sensitive child processes such as command shells (cmd, powershell, pwsh) or web transfer tools (curl, wget). This behavior could indicate malicious activity if an attacker compromises the AI tool or if the tool itself is misused to execute arbitrary commands or exfiltrate data.
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Bhojraj Joshi@cybrbhojrajjoshi
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Detections.ai Community
6 months ago
70297
Detects command line execution indicative of the ToastNotify tool, which is used for weaponizing toast notifications. The rule specifically looks for the 'ToastNotify' string in the command line along with arguments like 'getaumid', 'sendtoast', or 'custom' followed by an XML file.
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Bhojraj Joshi@cybrbhojrajjoshi
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Detections.ai Community
6 months ago
10182
This rule detects suspicious execution of the 'awk' command on Linux systems. Specifically, it looks for 'awk' commands that include suspicious patterns. This pattern is often indicative of malicious script execution or code injection attempts using 'awk' for arbitrary command execution.
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Danny Y@zendannyy
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Detections.ai Community
6 months ago
00288
Detects the execution of 'awk' with command-line arguments that indicate it's being used to execute system commands or scripts. This often signifies malicious activity where 'awk' is leveraged for arbitrary command execution.
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Danny Y@zendannyy
CrowdStrike Logscale
6 months ago
40270
This rule detects attempts to modify GRUB configuration files using common text editors. Adversaries may modify GRUB configuration to establish persistence, disable security features, or alter the boot process for malicious purposes.
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Danny Y@zendannyy
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Detections.ai Community
6 months ago
10159
This rule detects the presence of suspicious script content (e.g., 'system(', 'exec(', '/dev/tcp/') within Python (.py) or shell (.sh) files located in common plugin directories on Linux systems. This could indicate an attempt to inject malicious code into package management configurations for persistence or privilege escalation.
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Danny Y@zendannyy
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Detections.ai Community
6 months ago
30232
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