Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects endpoint network connections to Heroku-hosted domains containing Google Ads tracking parameters (gclid, gad_source, gad_campaignid). This activity is associated with the initial staging phase of 'ShopEase' style malware delivery chains, where users are directed to decoy pages that prepare the environment for subsequent malicious browser-based actions.
Detects the execution of 'ClickFix' or 'fake-CAPTCHA' patterns where a user is tricked into copying and pasting a malicious command into the Windows Run dialog. The rule specifically identifies the launch of conhost.exe from explorer.exe with --headless arguments, utilizing command-line tools like curl, iex, or irm to fetch and execute external payloads.
This rule monitors network connections, file events, and process execution command lines for references to a list of known malicious URLs, including indicators associated with ClearFake, IClickFix, AMOS, Remus, and Mozi botnet payloads.
Detects the use of standard command-line utilities (curl, wget) by shell processes (bash, sh) on macOS when fetching a file with a specific force flag. This pattern is indicative of automated attempts to bypass existing file checks or force the download of remote payloads.
Detects a network request to download a file named 'msgbox.exe' using the curl command-line utility, consistent with the activity observed from threat actor UTA0560 (GRIMWEDGE). This rule monitors for HTTP GET requests targeting the specific file path while the User-Agent string begins with 'curl/'.
This rule correlates web clicks on Google Sites URLs containing keywords related to GlobalProtect with the subsequent creation or renaming of an unsigned or improperly signed GlobalProtect.msi file on the same endpoint within a 30-minute window. This behavior is indicative of a spearphishing attempt using a masqueraded landing page to deliver malicious or unauthorized software.
This rule correlates web clicks on Google Sites URLs containing keywords related to GlobalProtect with the subsequent creation or renaming of an unsigned or improperly signed GlobalProtect.msi file on the same endpoint within a 30-minute window. This behavior is indicative of a spearphishing attempt using a masqueraded landing page to deliver malicious or unauthorized software.
Detects network communication associated with the Rapuncel MaaS (Malware-as-a-Service) campaign, specifically identifying the Command and Control (C2) connection, GitHub Pages-based redirect chains, and subsequent delivery of large, suspicious ZIP archives containing renamed executable/system files.
Detects HTTP requests and responses involving the download of an executable file named 'ClaudeDesktop.exe' from the 'claude.ai' host, which is indicative of a malicious campaign distributing SectopRAT.
Detects potential malicious activity where a process associated with a Claude agent (or a downloader utility) references a 'SKILL.md' configuration file. This behavior is indicative of a poisoned skill file being used to trigger unauthorized payload downloads or re-establish persistence.
Detects HTML files that employ FlipBook branding as a lure for password-gated smuggling. The detection identifies client-side JavaScript logic that uses PBKDF2 and AES-GCM to decrypt a hidden redirect URL after user interaction with a password prompt.
Detects the initialization of an AWS CloudShell session followed by file transfer operations (PutFile or GetFile). This behavior may indicate an attacker using CloudShell to stage, exfiltrate, or move tools within the cloud environment, potentially bypassing endpoint detection by operating within the cloud service infrastructure.
Detects high-volume file download activity in Office 365/SharePoint/OneDrive audit logs. The rule correlates download spikes with users who have recently triggered security alerts related to session hijacking, token theft, or risky sign-ins, which are indicators of a potential cloud account takeover scenario.
Detects an anomalous volume of file access or synchronization activity on cloud document platforms (Microsoft SharePoint, OneDrive, or Google Drive) that occurs following a high-severity risky sign-in event. The rule specifically flags potential exfiltration patterns such as large volumes of data transfer or numerous file accesses, especially if associated with unmanaged devices or connections to known personal/external file-sharing services.
Detects the use of AWS CloudShell to execute commands that download or install external files (e.g., using curl, wget, pip, or git), excluding those originating from known approved sources such as AWS-owned domains or standard package registries. This behavior may indicate an adversary attempting to download offensive tooling or backdoors into the cloud environment.
Detects HTTP proxy requests for ZIP archives where the Referer header indicates a navigation originated from a GitHub Pages (github.io) site, but the destination is not a GitHub domain. This behavior is indicative of a multi-hop redirect chain used in campaigns to deliver malicious payloads, such as infostealers, by abusing GitHub Pages to redirect users to external hosting for ZIP archive downloads.
Detects a suspected social engineering attack chain where a user communicates with a recruiter via messaging apps or browsers, subsequently clones or installs a malicious repository using 'npm' or 'VS Code', and triggers suspicious child process activity from 'node.exe'. This pattern is associated with the WaterPlum campaign.
Detects the execution of PowerShell via a shortcut (.lnk) file that attempts to download and execute remote content using 'Invoke-WebRequest'. The command lines use common obfuscation techniques like 'Hidden' window style and 'Bypass' execution policy, targeting specific known malicious URL patterns or filename keywords.
Detects the use of 'winget configure' to retrieve and apply a Desired State Configuration (DSC) file from a remote HTTPS URL. This behavior can be abused to execute malicious configuration scripts directly from the internet.
Detects a potential AI agent data poisoning event where a file is downloaded from an untrusted source (browser or sync client) and subsequently read within one hour by a process associated with AI agent activity (e.g., semantic_kernel, SKAgent). This pattern is often used to inject malicious context or prompt injection vectors into RAG (Retrieval-Augmented Generation) systems.
Detects the use of BITSAdmin or PowerShell 'Start-BitsTransfer' to download files from non-reputable/non-Microsoft sources to suspicious directories such as Temp, AppData, or ProgramData, which is a common technique for ingress tool transfer during malware delivery.
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