Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
20,483 detections
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IDS Classtypes
1
Detects execution of AWS CLI subcommands used for credential or identity enumeration (e.g., sts get-caller-identity, iam get-user) when spawned from Amazon Q-related or development environment processes (Node.js/VS Code). This behavior is indicative of potential malicious activity involving a compromised MCP server configuration file (CVE-2026-12957).
Detects unauthorized or suspicious access to sensitive files (AWS credentials, config, or SSH private keys) by processes spawned as children of common Integrated Development Environments (IDEs) or language runtimes. This pattern is characteristic of exploit chains like CVE-2026-12957, where malicious workspace configurations trigger automatic server execution, inheriting developer environment access to sensitive credential stores.
Detects execution of the tc (traffic control) utility with pedit actions by non-root users. This pattern is indicative of exploitation attempts targeting the Linux kernel act_pedit subsystem (CVE-2026-46331), which can lead to page cache corruption and local privilege escalation.
Detects attempts to bypass AppArmor security profiles using aa-exec to execute processes under restricted contexts (trinity, chrome, flatpak), which is a component of the CVE-2026-46331 (pedit COW) exploit chain. Additionally, it monitors for unauthorized removal or disabling of AppArmor policies via aa-disable, aa-teardown, or apparmor_parser -R, which are often indicative of an adversary attempting to weaken system security to facilitate privilege escalation.
Jellyfin Ffprobe Exploit
YARA-L
Detects Jellyfin's automated ffprobe media scan pipeline spawning suspicious network-related shell commands. This indicates active exploitation of the PixelSmash vulnerability (CVE-2026-8461) via zero-click library scans.
Detects execution of the CVE-2026-46331 exploit chain, which utilizes unprivileged user namespace creation to escalate privileges followed by malicious Linux traffic control (tc) pedit actions to achieve kernel-level page cache corruption.
Detects anomalous child process execution (e.g., bash, sh, npx, node) spawned directly by AI coding assistants or IDE extensions (Claude Code, Cursor, Amazon Q). This behavior, specifically involving auto-executed configurations like mcp.json, is indicative of exploitation attempts targeting AI coding environments where remote code execution (RCE) can be achieved via untrusted configurations or injected prompts.
Detects execution of specific malware samples identified as DcRAT that perform environment checks, such as timing analysis using GetTickCount64 and Sleep, combined with system configuration lookups to identify sandbox or analysis environments.
Detects the Amazon Q Developer language server or extension host spawning suspicious child processes (bash, sh, zsh, python, node) that execute commands involving AWS STS identity retrieval, external data exfiltration via network tools like curl/wget, or direct references to AWS credential environment variables. This pattern is indicative of potential Remote Code Execution (RCE) via malicious Model Context Protocol (MCP) auto-execution.
Detects adversary activity associated with CL-STA-1062, specifically the use of archive extraction tools to unpack content into hidden or masqueraded ProgramData directories (VMware, Microsoft, Intel). The rule also monitors for process execution and the creation of scheduled tasks that utilize these specific staging paths.
Detects MYRA RAT masquerading as the legitimate 'systemd-userdbd' daemon by identifying processes with that name running outside expected system paths. It also identifies fileless execution patterns where Node.js or npm processes spawn memfd-backed executables, reference deleted files, or initiate processes using the 'systemd-userdbd' name, characteristic of the Miasma campaign.
Detects the execution of node.exe from common user-writable or non-standard directories such as AppData, Downloads, Temp, ProgramData, or Desktop, accompanied by JavaScript file arguments. This behavior is indicative of the TonRAT campaign which uses a portable Node.js runtime to execute malicious JavaScript payloads in a stealthy manner, bypassing standard installation path detection.
Detects execution of SoftEther VPN binaries (vpnclient, vpnserver, vpncmd, vpnbridge) from non-standard directories such as ProgramData, Temp, or AppData. It also identifies masquerading attempts where these binaries are renamed to vmtools.exe or vmwared.exe, and detects execution with specific VPN client/server command line flags outside of the expected installation directory. This rule is designed to identify covert tunneling activities and potential persistence mechanisms used by threat actors.
Detects unauthorized cron job creation or modification associated with cryptominer persistence. The rule monitors for common persistence indicators such as referencing 'lambsys', 'isp.sh', or 'procq' within cron-related commands and shell execution patterns that suggest malicious automated tasks in Linux environments.
Detects instances where mshta.exe is used to launch suspicious child processes such as wscript.exe, cscript.exe, or powershell.exe, or is associated with HTA files or PteroSand-related indicators. This behavior is indicative of HTML smuggling or malicious HTA-based delivery of secondary payloads.
Detects suspicious execution of .scr (screensaver) files, execution of 'SecureMessage' named executables (potentially Pony malware), and email attachments containing .scr or .zip files, which are common vectors for malware delivery.
This rule detects two stages of a potential exploitation chain targeting vLLM multimodal endpoints. Stage 1 identifies POST requests to vLLM API endpoints that contain 'video_url' in the request context, which could indicate an attempt to exploit CVE-2026-22778. Stage 2 detects post-exploitation activity by looking for unexpected child processes (like shell interpreters or download utilities) spawned from vLLM or Python inference processes, suggesting successful remote code execution.
Detects unexpected child processes (e.g., shell, Python, network utilities) spawned from vLLM or Python worker processes, or suspicious file/network activity related to vLLM/Python processes. This rule aims to identify potential exploitation of CVE-2026-22778, an FFmpeg JPEG2000 heap overflow vulnerability, which could lead to arbitrary code execution within AI/ML environments.
Linux BPFDoor iptables Redirect
Gravwell
Detects BPFDoor-style iptables NAT REDIRECT rules used to tunnel traffic from a
legitimate service port to a high ephemeral shell port (42391-43390) without
disrupting the real service for other clients. BPFDoor activates on magic packets, spawns a bind shell, inserts short-lived PREROUTING redirects for the controller IP, then deletes them.
legitimate service port to a high ephemeral shell port (42391-43390) without
disrupting the real service for other clients. BPFDoor activates on magic packets, spawns a bind shell, inserts short-lived PREROUTING redirects for the controller IP, then deletes them.
Detects Jellyfin or Emby media server processes (or their ffprobe/ffmpeg child workers) spawning anomalous shell processes such as /bin/sh or bash, consistent with exploitation of CVE-2026-8461 - a heap OOB write in the FFmpeg MagicYUV decoder that hijacks AVBuffer.free to call system() and fork a shell as the jellyfin service user (uid=115) or www-data.
Detects the execution of PowerShell or Bash commands, potentially for implant delivery, spawned from Visual Studio Code extension host processes (node.exe, code.exe, code-server, cursor). This rule specifically looks for command-line patterns associated with the GLASSWORM.WASM threat, such as 'irm', 'iex', 'curl -fsSL', 'Invoke-Expression', 'IEX', or combinations of 'powershell -Command', 'curl -fsSL', and 'bash -c'.
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