Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
3,627 detections
Filters
Last updated
All Time
Detection languages
1,752
374
349
273
255
Contributors
908
661
593
359
164
Categories
1,489
1,153
779
528
515
Platforms
39,921
7,246
6,535
3,864
3,627
Products / Services
802
512
432
340
298
MITRE Techniques
1,179
573
523
506
438
CVEs
17
16
9
8
7
IDS Classtypes
41
15
10
6
5
IDS Protocols
47
24
3
2
1
This rule detects the creation of 'rclone.conf' file on a device. The 'rclone.conf' file is a configuration file used by the Rclone utility, a command-line program for syncing files with various cloud storage services. The presence of this file often indicates the installation or use of Rclone, which can be leveraged by adversaries for data exfiltration to cloud storage.
Detects the execution of processes named 'openclaw-agent.exe' or 'openclaw-agent'. These binaries are being distributed as malicious 'prerequisites' in weaponized OpenClaw AI agent skills to install infostealers and other malware.
Detects a command line pattern where `curl` is used to download a payload, which is then piped to `base64` for decoding and `gunzip` for decompression. This technique is commonly used by macOS infostealers like DigitStealer and MacSync to execute malware in memory without writing it to disk.
Detects the creation or modification of a `.vscode/tasks.json` file that is configured to automatically run a task when a folder is opened.
Adversaries can abuse this feature in VS Code and GitHub Codespaces to achieve remote code execution by tricking a user into opening a malicious repository or pull request.
Adversaries can abuse this feature in VS Code and GitHub Codespaces to achieve remote code execution by tricking a user into opening a malicious repository or pull request.
Chrysalis Backdoor SHA256 Hash Detection
Cortex XDR
This rule detects the presence or execution of the Chrysalis Backdoor by matching known SHA256 hashes of its components. It monitors file and process events for these specific hashes.
Detects inbound network connections from external (non-loopback, non-private) IP addresses to ports commonly used by Clawdbot/Moltbot gateways (3000, 8080, 16007). An exposed gateway is a significant security risk that can allow unauthorized remote administrative control over the AI agent.
Detects network connections to Polygon (MATIC) blockchain RPC endpoints. The DeadLock ransomware strain has been observed using smart contracts on the Polygon network to retrieve C2 proxy server addresses, making this a key indicator of compromise.
Detects when a Visual Studio Code process spawns a shell that immediately downloads and executes a script using a tool like `curl` and pipes it to a runtime like `node`. This indicates the abuse of `tasks.json` for code execution, a technique used by DPRK-linked actors.
This rule detects the specific artifacts associated with the '01flip' ransomware. It triggers when a ransom note named 'RECOVER-YOUR-FILE.TXT' is created, followed by the rapid renaming of more than 10 files on the same host with the '.01flip' extension. The correlation is based on the hostname and the process command line within a 5-minute window, indicating a coordinated ransomware attack.
Detects the creation or modification of a browser extension's manifest.json file configured to inject a script into the 'MAIN' world context of chatgpt.com. This technique allows the extension to bypass the isolated content script environment, hook native APIs like window.fetch, and steal session tokens, as seen in a campaign targeting ChatGPT users.
Detects the creation or modification of a browser extension's manifest.json file that overrides the default search provider to a known malicious or suspicious domain. This technique is used by extensions like 'DPS Websafe' and 'Stock Informer' for search hijacking.
Detects the execution of a piped command chain typical of 'ClickFix' lures used by the MacSync infostealer. The malware tricks users into pasting a command into the terminal which uses curl to download a payload, decodes it with base64, and pipes it directly into a shell (zsh, sh) or osascript for execution, bypassing macOS security controls like Gatekeeper.
Detects when a Python process spawns a shell or a network utility. This behavior can be indicative of Remote Code Execution (RCE) vulnerabilities being exploited in AI/ML libraries (e.g., CVE-2025-23304, CVE-2026-22584) that allow attackers to execute arbitrary code when a malicious model file is loaded.
Detects network connections from a node.js process to a known C2 server address (87.236.177.9:3000) used by DPRK-linked threat actors.
Detects the creation of a macOS Launch Agent by a suspicious process or with a name matching patterns used by the BlueNoroff group. BlueNoroff uses Launch Agents for persistence on compromised macOS systems.
Detects when a Visual Studio Code configuration file is modified, followed by the execution of a shell or networking tool by VS Code. This pattern may indicate abuse of GitHub Copilot via prompt injection (CVE-2025-53773) to achieve remote code execution.
Detects ransom note creation associated with Yurei ransomware.
Detects AI/ML model configuration files (e.g., config.json, model_config.yaml) containing a suspicious '_target_' value, which could indicate an attempt to exploit a Hydra instantiation vulnerability for remote code execution (RCE).
Detects when a Python process spawns a shell or a network utility. This behavior can be indicative of Remote Code Execution (RCE) vulnerabilities being exploited in AI/ML libraries (e.g., CVE-2025-23304, CVE-2026-22584) that allow attackers to execute arbitrary code when a malicious model file is loaded.
This query detects network communication to known Command and Control (C2) IP addresses used by the Medusa ransomware group, often via malicious SimpleHelp RMM servers.
This rule detects network connections from devices to a predefined list of known malicious domains. It identifies attempts by internal systems to communicate with command and control servers, phishing sites, or other infrastructure associated with threat actors.
Page 158 of 173