Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects potential automated cryptocurrency wallet draining activity by correlating the execution of known stealer processes (such as GapiUpdate or NeedleStealer) with subsequent outbound network connections to suspicious command-and-control domains or API endpoints within a 30-minute window.
Detects a 'git checkout' command targeting a specific commit SHA that is not followed within five minutes by a 'git rev-parse HEAD' integrity check. This behavior, known as 'Plugin4Shell', involves an attacker replacing a pinned commit with a malicious branch of the same name, potentially leading to unauthorized code execution if verification steps are absent.
Detects the execution of COM files located in the AppData\Local directory with a numeric filename and specific command-line arguments indicative of file transfer or proxying tools like curl/wget wrappers.
Detects indicators of the 'ShieldCrash' proof-of-concept (CVE-2026-69414 exploit bypass) on Windows systems. The rule monitors for specific malicious file activity, module loading, and the presence of decoy archive files associated with the PoC, which are used to achieve arbitrary file read as SYSTEM.
Detects unauthorized programmatic invocation of ADB pair or connect commands by an Android application. This activity is indicative of the RatHat malware family attempting to abuse Accessibility Services and Wireless Debugging to self-pair with the local ADB daemon, thereby bypassing the Android application sandbox.
Detects the RatHat Android malware attempting to perform a UI overlay attack by requesting the SYSTEM_ALERT_WINDOW permission while specifically targeting payment application packages, such as WeChat (com.tencent.mm) and Alipay (com.eg.android.AlipayGphone), to capture sensitive credentials.
Detects automated searching (via grep, findstr, or select-string) for sensitive strings (e.g., API keys, private keys, wallet data) across multiple occurrences on a single host, or the creation of suspicious sensitive files (e.g., .env, credentials, wallet.dat) on devices where such automated sweeping activity has been observed. This pattern indicates an adversary staging data for exfiltration.
Detects unauthorized access and data retrieval attempts from a MinIO object storage instance using default administration credentials (minioadmin:minioadmin). The rule monitors both command-line execution of MinIO client (mc) operations and network connections to MinIO service ports (9000/9001) that involve the use of the default credential pair.
Detects the execution of PostgreSQL dump utilities (pg_dump, pg_dumpall) initiated directly by application-level processes like Langflow or Python, rather than through standard system-level task schedulers. This behavior is indicative of unauthorized data collection or staging of database contents by an application process.
Detects the execution of PostgreSQL dump utilities (pg_dump, pg_dumpall) initiated directly by application-level processes like Langflow or Python, rather than through standard system-level task schedulers. This behavior is indicative of unauthorized data collection or staging of database contents by an application process.
Detects the execution of PostgreSQL dump utilities (pg_dump, pg_dumpall) initiated directly by application-level processes like Langflow or Python, rather than through standard system-level task schedulers. This behavior is indicative of unauthorized data collection or staging of database contents by an application process.
Detects suspicious process execution patterns originating from Langflow or Nacos AI orchestration services, including the spawning of sensitive binaries like cmd, powershell, or scripts (python/bash/sh) with suspicious command-line arguments. Additionally, it identifies potential exploitation attempts targeting known-vulnerable API endpoints (code validation and Nacos user authentication).
Detects suspicious process execution patterns originating from Langflow or Nacos AI orchestration services, including the spawning of sensitive binaries like cmd, powershell, or scripts (python/bash/sh) with suspicious command-line arguments. Additionally, it identifies potential exploitation attempts targeting known-vulnerable API endpoints (code validation and Nacos user authentication).
Detects rapid, non-interactive ransomware-like behavior characterized by system reconnaissance followed by automated bulk file deletion of model/data files (e.g., .ckpt, .pt). The rule identifies campaigns where discovery, lateral movement or automated execution, and destructive impact occur within a 3-hour window without any interactive user login evidence.
Detects the usage of Android Debug Bridge (ADB) commands associated with wireless debugging, such as pairing or connecting to devices over a network. This behavior can be used by an adversary to gain remote access to an Android device or manage it remotely.
Detects modifications to Android secure settings to enable accessibility services, often used by malware to intercept user input, monitor screen content, or perform unauthorized actions.
Detects indicators of the MovieReaper loader, specifically the downloading of shellcode fragments disguised as image assets from known malicious C2 infrastructure, and the masquerading of a malicious binary as 'msedge.exe' within the Windows Telemetry folder for persistence. The rule specifically targets the loader's behavior of using PEB Ldr traversal to resolve APIs and evade hooking-based security controls.
Detects the HEAVYGRAM malware utilizing the Telegram Bot API to download file attachments, followed by the extraction of an archive using PowerShell to a masqueraded directory (C:\ProgramData\Kee_Pass), and the subsequent execution of a binary masquerading as KeePass.exe.
Detects suspected exploitation of CVE-2026-81963, an Elevation of Privilege vulnerability in the Windows Update stack. The rule monitors for the creation of reparse points, junctions, or symbolic links within update staging paths by Windows Update processes, followed by either the spawning of suspicious child processes or unauthorized file writes/renames outside of expected directories, which are indicative of a privileged link-following exploit.
This rule detects the use of the VS Code command line interface to install extensions, specifically by monitoring for the 'workbench.extensions.installExtension' command. This activity can be indicative of automated installation of extensions, which could be used for malicious purposes or persistence if an attacker installs a malicious extension.
Detects instances where a Visual Studio Code (VS Code) extension host process launches potentially suspicious child processes, specifically command-line tools like cmd.exe, powershell.exe, or calc.exe, within 30 seconds of the extension host starting.
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