Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
644 detections
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Detects reconnaissance and credential harvesting activities associated with the Lambsys cryptominer campaign. The rule monitors for unauthorized enumeration of SSH directories, key files, and the use of SSH utilities for lateral movement, specifically triggered by the presence of 'isp.sh' or 'lambsys' in command arguments or related patterns.
Detects the execution of ffmpeg with the '-decoders' flag to enumerate available decoders, specifically looking for the vulnerable MagicYUV decoder. It also identifies 'grep' commands searching for 'magicyuv' in process command lines, which could indicate reconnaissance or triage activity related to CVE-2026-8461.
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.
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 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 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 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 file creation, copy, or rename operations within known VPN application directories (CyberGhost, ExpressVPN, NordVPN) when initiated by Chromium Embedded Framework (CEF) related processes (CefSharp.BrowsersSubprocess). This behavior is highly irregular as standard web browser components should not be modifying the local configuration or installation directories of VPN software.
Detects the execution of a process named 'servertool.exe' specifically when it originates from a user's OneDrive Music folder or a generic Music folder within the user profile. This could indicate an attempt to masquerade malicious activity by placing an executable in an unusual, typically benign location.
Detects reconnaissance activities aimed at identifying c-ares library linkage using tools like ldd, readelf, and strings, or via pattern matching in files. It also monitors for the suspicious loading of cares.dll outside of expected vendor directories and the execution of specific files identified as part of a c-ares TCP use-after-free proof-of-concept.
This rule detects the execution of common security analysis, debugging, and forensic tools such as x64dbg, IDA Pro, Wireshark, and Process Hacker. These tools are often used by adversaries for reverse engineering, malware analysis, or to gain deeper insight into a compromised host environment.
Detects anomalous activity associated with Amazon Q processes, including unauthorized access to SSH agent binaries, attempts to read SSH configuration files or keys in ~/.ssh/, and suspicious outbound network connections over port 22, potentially indicating lateral movement.
Detects file creation, copy, or rename operations within known VPN application directories (CyberGhost, ExpressVPN, NordVPN) when initiated by Chromium Embedded Framework (CEF) related processes (CefSharp.BrowsersSubprocess). This behavior is highly irregular as standard web browser components should not be modifying the local configuration or installation directories of VPN software.
Detection rule monitoring for indicators of compromise related to SolarWinds Serv-U, including anomalous Content-Encoding headers, unexpected child process execution, large file staging indicative of data exfiltration (Cl0p-style), outbound exfiltration, SQL injection artifacts, and unauthorized LDAP/Active Directory object enumeration by the Serv-U process.
Credential and browser data stealer distributed via OXLOADER campaigns
Credential and browser data stealer distributed via OXLOADER campaigns
Detects suspicious credential harvesting activities, specifically identifying processes performing a sweep of multiple sensitive configuration files (e.g., AWS, Kubernetes, SSH keys, npm, git) or processes accessing /proc/self/environ to enumerate environment variables for sensitive data.
This rule detects suspicious file system enumeration activities that often precede ransomware encryption. It specifically looks for a high volume of command-line executions of 'dir /s', 'dir /r', or 'tree' commands within a short timeframe (5 minutes) on a single computer by a single account. These commands are commonly used by adversaries to discover files and directories before encrypting them.
This rule detects unauthorized access or modification attempts to the Microsoft WinGet DSC (Desired State Configuration) configuration history database and associated YAML configuration files. WinGet stores execution history and DSC configuration files in specific directories; unauthorized processes interacting with these files may indicate an attempt to gain persistence, escalate privileges, or conduct reconnaissance on configured system states by inspecting or tampering with deployment manifests.
This rule detects unauthorized or suspicious processes accessing sensitive files within the Linux /proc filesystem or application-specific directories (such as graph_api.py, main.py, or requirements.txt). By excluding standard administrative tools like systemd, rpm, dpkg, and apt, this rule highlights processes that may be performing reconnaissance, credential harvesting, or attempting to read source code in an abnormal manner.
Detects high-frequency reconnaissance activity on endpoints involving process enumeration and file/directory discovery. This behavior is commonly observed in the pre-ransomware phase as adversaries map out the environment, and is consistent with TTPs employed by threat actors such as BlackBasta, including the use of native administrative tools (e.g., tasklist, dir, tree, net share) and PowerShell commands for discovery.
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