Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects a high volume of network connections (10 or more within an hour) from a single process to remote URLs containing 'artifact' or 'maven' on standard HTTP (port 80) or HTTPS (port 443) ports. This activity could indicate legitimate software development or build processes, but also potentially malicious activities such as supply chain compromise, data staging, or exfiltration of development-related artifacts.
This rule detects processes making a high number of successful network connections (10 or more within an hour) to known public container registries such as docker.io or quay.io. This activity could indicate legitimate containerization operations, but also potential malicious activity like downloading malicious container images as part of a supply chain attack, or ingress of tools.
This rule detects the creation of 'requirements.txt' or 'pom.xml' files on a system. These files are commonly used in software development projects (Python and Java/Maven, respectively) to manage dependencies and project configurations. Monitoring their creation can help identify legitimate development activities, but also potential malicious actions such as supply chain compromise where an adversary might introduce or modify project dependencies.
Detects tampering with 'binding.gyp' files by processes other than 'npm', 'node', or 'yarn'. Modifying these build scripts can allow attackers to achieve arbitrary code execution during the 'npm install' phase, indicating a potential supply chain compromise.
This rule detects suspicious downloads of Python packages from pypi.org or pypi.python.org by pip or python executables. It specifically looks for a high volume (5 or more) of downloads of common package names (numpy, requests, pandas, util, common) within a one-hour window from a single device. This could indicate an attempt to compromise the software supply chain by introducing malicious versions of popular packages.
This rule detects a high volume of network connections (10 or more within an hour) from a single process to remote URLs containing 'artifact' or 'maven' on standard HTTP (port 80) or HTTPS (port 443) ports. This activity could indicate legitimate software development or build processes, but also potentially malicious activities such as supply chain compromise, data staging, or exfiltration of development-related artifacts.
This rule detects processes making a high number of successful network connections (10 or more within an hour) to known public container registries such as docker.io or quay.io. This activity could indicate legitimate containerization operations, but also potential malicious activity like downloading malicious container images as part of a supply chain attack, or ingress of tools.
This rule detects the execution of package managers by common parent processes (code.exe, cmd.exe, powershell.exe) when they are used to install or add packages. It looks for package names that include scope (e.g., @scope/package), version numbers (e.g., package@1.2.3). This pattern could indicate an attempt to introduce malicious or unauthorized packages into a development environment or system.
Detects DNS lookups to typosquatted package registry domains for supply chain attacks
Detects the creation or modification of a VSCode package.json file that maps a keybinding to the 'workbench.extensions.installExtension' command while explicitly setting the 'skipPublisherTrust' flag to true. This technique can be used by adversaries to install malicious VSCode extensions without publisher trust checks, potentially leading to supply chain compromise or defense evasion.
This rule detects an unusually high number of command-line executions containing keywords related to 'dependency' or 'library' and 'update' or 'upgrade' within a one-hour window on a single computer. This behavior could indicate an adversary attempting to modify system components, install malicious libraries, or compromise the software supply chain by frequently updating or upgrading software dependencies.
This rule detects a high volume of file creation events (100 or more within an hour) occurring in common development-related directories such as 'node_modules', 'packages', or 'vendor'. This activity can be indicative of legitimate software development processes like dependency installation or project builds. However, it can also signal malicious activity, particularly if observed on systems not typically used for development, or as part of a supply chain compromise where malicious dependencies are being introduced or built.
This rule detects a high frequency of process creations (Event ID 4688) with command-line arguments containing keywords indicative of software publishing or deployment, such as 'publish', 'deploy', 'artifact', or 'release'. A count of 3 or more such events within a one-hour window from the same computer and account is considered suspicious. This pattern could indicate legitimate CI/CD activities, but also potential abuse of software deployment tools or a software supply chain compromise by an adversary.
This rule detects a high frequency of process creations (Event ID 4688) with command-line arguments containing keywords indicative of software publishing or deployment, such as 'publish', 'deploy', 'artifact', or 'release'. A count of 3 or more such events within a one-hour window from the same computer and account is considered suspicious. This pattern could indicate legitimate CI/CD activities, but also potential abuse of software deployment tools or a software supply chain compromise by an adversary.
This rule detects an unusually high number of command-line executions containing keywords related to 'dependency' or 'library' and 'update' or 'upgrade' within a one-hour window on a single computer. This behavior could indicate an adversary attempting to modify system components, install malicious libraries, or compromise the software supply chain by frequently updating or upgrading software dependencies.
This rule detects a high volume of file creation events (100 or more within an hour) occurring in common development-related directories such as 'node_modules', 'packages', or 'vendor'. This activity can be indicative of legitimate software development processes like dependency installation or project builds. However, it can also signal malicious activity, particularly if observed on systems not typically used for development, or as part of a supply chain compromise where malicious dependencies are being introduced or built.
This rule detects DNS queries for typosquatted domains related to npmjs. Specifically, it looks for queries to domains ending in 'npmjs.net', 'npmjs.org', 'npmjs.io', or 'npmjs.co'. This is indicative of potential supply chain attacks or attempts to trick users into downloading malicious packages from fake registries.
This rule detects the creation of 'requirements.txt' or 'pom.xml' files on a system. These files are commonly used in software development projects (Python and Java/Maven, respectively) to manage dependencies and project configurations. Monitoring their creation can help identify legitimate development activities, but also potential malicious actions such as supply chain compromise where an adversary might introduce or modify project dependencies.
Detects outbound web requests or GitHub API interactions containing the specific description string "Miasma: The Spreading Blight". This string is used as a signature by the Miasma malware (a Shai-Hulud variant involved in the @redhat-cloud-services npm supply chain attack) when creating malicious GitHub repositories to exfiltrate stolen credentials.
This rule detects the execution of 'vsce-sign.exe' with command-line arguments indicating the verification of cached VS Code extensions. This activity is part of the normal VS Code extension installation and update process, where extensions are verified for integrity and authenticity. While this is a legitimate process, monitoring it can be useful for identifying anomalies or potential supply chain compromises if unexpected extensions are being verified or if the verification process itself is being abused.
Detects multiple threat behaviors associated with the Mini Shai-Hulud supply chain worm campaign. This includes memory scraping for secrets, execution of malicious Node/Bun payloads, connection to known C2 domains, and file operations related to persistence.
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