Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
956 detections
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Detects Node.js processes (node, npm) attempting to access sensitive files typically associated with web browser extensions, cryptocurrency wallets, or stored secrets. This activity is indicative of credential theft or data exfiltration attempts.
Detects instances where a node.exe process accesses common configuration, credential, or authentication files. Adversaries may leverage Node.js scripts or malicious applications to exfiltrate sensitive data such as SSH keys, AWS credentials, Docker configurations, or git configurations.
Detects the macOS.Gaslight Python collection module compressing staged data into a ZIP archive (collected_data.zip) using shutil.make_archive for subsequent exfiltration over Telegram C2. The module calls compress_output() which archives browser credentials, keychain, terminal history, and process snapshots into temp/collected_data.zip.
Detects anomalous activity originating from Oracle database processes, including the spawning of shell commands via DBMS_SCHEDULER, execution of known attacker staging scripts, and the creation of sensitive output files in temporary directories, which are characteristic of database-level remote code execution or exfiltration attempts.
This rule detects when non-FileZilla processes attempt to read or access sensitive FileZilla configuration files, specifically 'recentservers.xml' or 'sitemanager.xml', which are known to store plain-text credentials for site connections. This behavior is indicative of credential harvesting.
Detects WinRAR executing with archiving flags (create, add, move) on sensitive paths, followed by an outbound network connection to a non-private IP address within a 10-minute window, which is characteristic of data staging and exfiltration.
This rule detects the staging of data using WinRAR, followed by potential exfiltration to known public file-sharing services (easyupload.io, anonfiles.com, gofile.io, transfer.sh) within a 2-hour window. It monitors for either DNS requests to these domains or the execution of web browsers or common command-line tools (curl, wget, PowerShell) with these domains in the command line arguments following WinRAR usage.
Detects instances where 'node.exe' is copying browser history SQLite databases (Chrome, Edge, Brave) to temporary directories. This activity is indicative of data staging or exfiltration, specifically linked to the 'protocal.cjs' backdoor from the 'easy-day-js' supply chain attack.
This rule detects suspicious activity related to the Sapphire Sleet malware, specifically its technique of traversing Google Chrome or Brave profile directories to extract and compress Web3 wallet extensions. It correlates file access events on specific browser extension paths with process events where archiving tools like 'zip' or 'tar' are executed.
Detects instances where 'node.exe' is copying browser history SQLite databases (Chrome, Edge, Brave) to temporary directories, potentially indicating data exfiltration or staging. This behavior has been observed in supply chain attacks like the 'easy-day-js' incident involving the 'protocal.cjs' backdoor.
Detects unauthorized processes attempting to access sensitive web browser files (Login Data, Local State, Cookies) and subsequently copying or staging these files to temporary directories (Windows Temp or AppData Temp) within a 5-minute window, a technique often used for credential harvesting.
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 instances where 'node.exe' is copying browser history SQLite databases (Chrome, Edge, Brave) to temporary directories, potentially indicating data exfiltration or staging. This behavior has been observed in supply chain attacks like the 'easy-day-js' incident involving the 'protocal.cjs' backdoor.
Detects unauthorized access (File Creation, Modification, Rename, or Deletion) to common web browser cookie and credential storage files by non-browser processes. This behavior is a common indicator of information-stealing malware attempting to extract session cookies and credentials for later use.
This rule detects the creation of a specific file named 'linux-process-env.json' on Linux endpoints. The creation of environment-related configuration files in unexpected locations or by unauthorized processes may indicate reconnaissance, staging of malicious configuration, or post-exploitation activities by an adversary.
Detects unauthorized processes reading, creating, or modifying sensitive files associated with local AI development tools and assistants (e.g., Claude, Codex, Gemini, Cline, Opencode, Kilo). This rule monitors for file operations outside of the known, legitimate AI tool processes, suggesting potential credential theft or configuration tampering by malicious software.
Detects unauthorized mass access to AI development tool configuration files and credentials. The rule identifies processes reading sensitive files associated with tools such as Claude (mcp.json, projects), Codex (config.toml, sessions), Gemini (settings.json, .env), Cline, OpenCode, and Kilo.
This rule detects attempts by unsigned or suspicious processes (often residing in temporary directories) to access sensitive cryptocurrency wallet files such as 'wallet.dat', keystore JSON files, and files containing recovery seed phrases. This behavior is indicative of credential theft commonly associated with infostealer campaigns like DeepLoad and DeerStealer.
Detects the Djinn Stealer malware accessing sensitive configuration files and credential stores related to AI coding assistants (e.g., Claude, Codex, Gemini, Cline) and common development utilities (e.g., AWS, GKE, SSH) on Linux workstations. It also detects the creation of a 'linux-process-env.json' file, which is an artifact used by the stealer to exfiltrate environment variables harvested from process memory.
This rule detects instances where Python interpreter processes (python.exe, python3.exe) access sensitive cryptocurrency wallet or keystore files. This behavior is indicative of unauthorized information collection or wallet stealer malware activity targeting local system assets.
Detects instances where common script interpreters (node.exe, python.exe, etc.) simultaneously access sensitive local credential files and establish outbound network connections to common web ports (80, 443, 8080, etc.), which is indicative of credential exfiltration behavior.
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