Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects anomalous web session traffic that proxies enterprise authorization endpoints (e.g., oauth, saml, login) while simultaneously interacting with session-related cookies. This behavior is indicative of an Adversary-in-the-Middle (AiTM) proxy setup used to capture session tokens and bypass authentication.
This rule detects when the Internet Information Services (IIS) worker process (w3wp.exe) accesses sensitive files such as 'web.config', 'applicationHost.config', or 'win.ini'. Unauthorized access to these files by the IIS process can be an indicator of a web shell or other malicious post-exploitation activity attempting to steal credentials, application secrets, or system configuration information.
This rule monitors process command lines and file activity for keywords associated with potential reconnaissance, error logs, or debugging artifacts often used during post-exploitation or system profiling. It flags commands or files containing terms like 'memory dump', 'stack trace', 'SQL injection', or 'Redis failure', which may indicate an attacker analyzing system information or attempting to interact with backend services.
Detects unauthorized processes attempting to read, modify, or create files within common browser credential locations (Chrome, Firefox, Edge, and Windows Credential Manager). Legitimate browser processes and their known signers are excluded, focusing on suspicious secondary processes or tools frequently utilized by infostealers like Lumma and RedLine to dump credentials.
Detects processes associated with Remcos RAT or processes with names matching a GST.*.com pattern that are attempting to capture user input by looking for specific API calls or keywords related to keylogging in the process command line. This could indicate an attempt to steal credentials or other sensitive information.
This rule detects a suspicious sequence of network connections indicative of information stealer activity, specifically targeting behaviors observed with malware like VVS Stealer. It identifies instances where a non-browser process, originating from common user-writable or temporary directories (AppData, Temp, Downloads, Users\Public), first connects to an external IP discovery service (ipify.org) and then subsequently communicates with Discord services (discord.com or discordapp.com) within a ten-minute window. This pattern suggests that malware is collecting the victim's public IP address before exfiltrating stolen data (e.g., account or browser information) to Discord infrastructure, often used as a command and control or data exfiltration channel by stealers.
Detects unauthorized access or modification to common CI/CD credential files (.npmrc, .pypirc, .git-credentials, jenkins credentials.xml) and CI/CD configuration files (.github/workflows, .gitlab-ci.yml). The rule monitors both file system activities by non-standard processes and the execution of command-line tools that reference these sensitive files.
Detects the use of tar.exe to extract archives into common staging directories (Temp, AppData, Public, ProgramData), particularly when the process is initiated by suspicious parent processes such as Office applications, command shells, or download utilities, which is often indicative of malicious payload staging.
Detects unauthorized access or modification to common CI/CD credential files (.npmrc, .pypirc, .git-credentials, jenkins credentials.xml) and CI/CD configuration files (.github/workflows, .gitlab-ci.yml). The rule monitors both file system activities by non-standard processes and the execution of command-line tools that reference these sensitive files.
This rule detects the creation of large files (1MB or greater) with names suggestive of exfiltration or staging (e.g., containing 'exfil', 'stage', 'batch', 'zip', 'archive') in common temporary or public user directories. This behavior can indicate an adversary preparing data for exfiltration.
Detects file creation or modification events targeting sensitive cloud credential storage locations, such as AWS credentials files, Azure configurations, and Google Cloud credentials databases. The rule filters out known legitimate CLI tools, flagging potential unauthorized access or exfiltration of cloud credentials by other processes.
Detects unauthorized processes (those not identified as standard web browsers) accessing browser profile directories (Local Storage or IndexedDB) associated with major AI platforms such as OpenAI, ChatGPT, Anthropic, and Copilot. This behavior is indicative of credential theft or session token exfiltration from local browser storage.
Detects the execution of known adversary-in-the-middle (AiTM) phishing frameworks, such as Evilginx or Modlishka, by identifying process names, paths, or specific command-line arguments (e.g., --phishlets, --proxy, --lure) used to initiate these proxy-based phishing sessions.
Detects file creation or modification events targeting sensitive cloud credential storage locations, such as AWS credentials files, Azure configurations, and Google Cloud credentials databases. The rule filters out known legitimate CLI tools, flagging potential unauthorized access or exfiltration of cloud credentials by other processes.
Detects attempts by the Remcos RAT to access audio and video capture devices (camera, microphone) by monitoring process command lines for keywords related to these devices. It also looks for processes initiated by PowerShell or cmd.exe, which are common methods for malware execution.
Detects thousands of OneDrive or SharePoint file downloads by a single account during a short period, indicating automated collection rather than ordinary user activity.
Detects Python or a Cython module opening Chromium Login Data and Local State files outside browser execution. This activity is indicative of credential theft, specifically targeting web browser stored credentials.
Detects curl or wget fetching a secondary payload (like AMOS or ClearFake) directly into the /tmp directory, a volatile location to hide execution artifacts. The rule specifically looks for command-line arguments that use '-o' to specify a destination path within /tmp with common executable or package extensions.
Detects the creation or writing of BMP files in temporary directories by processes other than common screenshot or image editing tools. This activity can be indicative of malware attempting to capture screenshots or other visual data, potentially for exfiltration or analysis.
This rule detects a suspicious sequence of events indicative of ransomware activity, specifically the Prinz Eugen ransomware. It looks for the execution of common file compression utilities (7z.exe, rar.exe, WinRAR.exe, winzip.exe) followed by the execution of known ransomware encryption executables (servertool.exe, encrypt.exe) on the same device within a 30-minute window. This pattern suggests that an attacker is compressing files before encrypting them, a common tactic to reduce the size of data for faster encryption or exfiltration.
This rule detects potential credential harvesting activity associated with the Hannibal Stealer. It looks for non-standard processes (processes other than the browsers themselves) that access sensitive browser credential stores (like 'Login Data', 'cookies.sqlite', or 'key4.db') and correlate these file access events with the loading of 'bcrypt.dll' or 'CefSharp.BrowsersSubprocess.dll', which are often used for decryption or browser automation/sub-processes during credential theft.
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