Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects rapid, multi-category system and network enumeration performed by AI-assisted development tools (e.g., Cursor, Claude, ChatGPT). The rule triggers when an AI agent process performs a comprehensive scan of the host environment, specifically covering machine/OS identity, network configuration, process listings, installed software, and access to sensitive credential files within a 10-minute window. It requires at least 5 distinct discovery categories and 6 total events to reduce noise from routine debugging. Covers T1082, T1016, T1057, T1518
Detects rapid, multi-category system and network enumeration performed by AI-assisted development tools (e.g., Cursor, Claude, ChatGPT). The rule triggers when an AI agent process performs a comprehensive scan of the host environment, specifically covering machine/OS identity, network configuration, process listings, installed software, and access to sensitive credential files within a 10-minute window. It requires at least 5 distinct discovery categories and 6 total events to reduce noise from routine debugging. Covers T1082, T1016, T1057, T1518
Detects rapid, multi-category system and network enumeration performed by AI-assisted development tools (e.g., Cursor, Claude, ChatGPT). The rule triggers when an AI agent process performs a comprehensive scan of the host environment, specifically covering machine/OS identity, network configuration, process listings, installed software, and access to sensitive credential files within a 10-minute window. It requires at least 5 distinct discovery categories and 6 total events to reduce noise from routine debugging. Covers T1082, T1016, T1057, T1518
Detects rapid, multi-category system and network enumeration performed by AI-assisted development tools (e.g., Cursor, Claude, ChatGPT). The rule triggers when an AI agent process performs a comprehensive scan of the host environment, specifically covering machine/OS identity, network configuration, process listings, installed software, and access to sensitive credential files within a 10-minute window. It requires at least 5 distinct discovery categories and 6 total events to reduce noise from routine debugging. Covers T1082, T1016, T1057, T1518
Detects the creation of files named 'parser.js' or 'loader.js' within hidden or suspicious VSCode directories (e.g., .npm/.vscode/ or AppData/VSCode/). The detection also flags potential signs of malicious intent, such as the existence of a 'package.json' file nearby or the presence of 'tokenapp' in the file path, which are often indicative of the GHAPPIER implant behavior.
This rule detects potentially malicious modifications to package.json files in npm projects or suspicious npm registry telemetry. It flags manifest files containing common obfuscation markers or excessive/unusual dependencies often associated with supply chain attacks, such as crypto, child_process, and common third-party packages frequently used in malicious npm activity.
Detects the creation of 'auth_codes.json' files within directories containing 'seria' in their path. This file is known to be used to store MD5-derived 8-character hex recovery codes for Dahua devices, allowing for password bypass or recovery via the easy4ipcloud.com portal without valid credentials.
This rule detects Terraform CLI activity interacting with suspicious domains or modules, specifically targeting known repositories or namespaces (e.g., gocommunity.io, gogets.dev). It monitors for Terraform initialization or application patterns referencing these domains in process command lines, as well as the creation of Terraform provider files within these specific namespaces. This behavior is indicative of potential supply chain compromise involving malicious Terraform modules or dependencies.
Detects the execution of 'go' or 'go.exe' with 'run' commands originating from infrastructure automation or orchestration tools such as Terraform, Docker, or other related automation processes. This pattern may indicate the execution of arbitrary Go code or modules in environments where infrastructure code is being managed or deployed.
Detects network connections originating from or connecting to hosts that utilize known Cobalt Strike default JA3 or JA3S TLS fingerprints. These fingerprints are indicative of Cobalt Strike's default beacon communication patterns.
Detects the execution of the rclone utility (including renamed binaries) using command-line arguments consistent with data exfiltration or synchronization (copy, sync, move) that is followed by network communication to known cloud storage providers commonly abused for staging and exfiltration in ransomware attacks.
Detects unauthorized modifications to SSH authorized_keys files. Attackers often modify these files to inject their own public keys, ensuring persistent access to a compromised Linux host. This rule excludes known configuration management and provisioning tools to reduce noise.
Detects network communication to a suspicious staging domain (pdf.gusercontent.com) that mimics legitimate services. This traffic is associated with the 'onInstalled' event handler of a malicious browser extension, often used to signal a successful infection or initiate secondary payload delivery.
Detects network communication to a suspicious staging domain (pdf.gusercontent.com) that mimics legitimate services. This traffic is associated with the 'onInstalled' event handler of a malicious browser extension, often used to signal a successful infection or initiate secondary payload delivery.
Detects network communication to a suspicious staging domain (pdf.gusercontent.com) that mimics legitimate services. This traffic is associated with the 'onInstalled' event handler of a malicious browser extension, often used to signal a successful infection or initiate secondary payload delivery.
Detects an account takeover chain where a device loads a malicious JavaScript component ('load-addon.js') in a browser session, followed by repeated attempts to bypass bot detection mechanisms (targeting Google's 'errors/robot.png') as the payload attempts to force authentication challenges or password resets.
Detects network communication to specific Gusercontent endpoints consistent with malicious browser extensions exfiltrating captured session tokens or cookies. The rule monitors for POST requests containing parameters like leadId, email, and data, often used to transmit stolen authentication material.
Detects the on-disk presence of a malicious Firefox browser extension, 'pdf-para-texto@extensao.local', used for credential or data harvesting. The rule monitors for the creation of its manifest file or XPI package in specific directories, indicating the staging or installation of the malicious extension.
Detects the on-disk presence of a malicious Firefox browser extension, 'pdf-para-texto@extensao.local', used for credential or data harvesting. The rule monitors for the creation of its manifest file or XPI package in specific directories, indicating the staging or installation of the malicious extension.
Detects an account takeover chain where a device loads a malicious JavaScript component ('load-addon.js') in a browser session, followed by repeated attempts to bypass bot detection mechanisms (targeting Google's 'errors/robot.png') as the payload attempts to force authentication challenges or password resets.
Detects network communication to specific Gusercontent endpoints consistent with malicious browser extensions exfiltrating captured session tokens or cookies. The rule monitors for POST requests containing parameters like leadId, email, and data, often used to transmit stolen authentication material.
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