Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects various activities associated with the Sha1-Hulud campaign, including the creation of malicious files (setup_bun.js, bun_environment.js) identified by their SHA256 hashes or filenames within .npm directories. It also identifies the execution of malicious preinstall scripts involving 'node' and 'setup_bun.js'. Furthermore, the rule looks for persistence mechanisms related to GitHub Actions, specifically the creation of 'discussion.yaml' within '.github/workflows' or 'run.sh'/'config.sh' within '/.dev-env/'. Finally, it detects destructive commands used as a fallback, targeting both Linux (using 'find', 'shred', 'xargs', 'delete') and Windows (using 'del', 'rd' on '%USERPROFILE%').
This rule detects the creation or modification of files associated with the Shai-Hulud 2.0 worm. The detection is based on specific file hashes and a behavioral rule for an unusually large 'bun_environment.js' file, which is a key indicator of the malware's obfuscation techniques.
This rule detects the creation or modification of a GitHub Actions workflow file named 'discussion.yaml' within the '.github/workflows/' directory. This is a known persistence technique used by the Shai-Hulud 2.0 worm to register an infected machine as a self-hosted runner, allowing attackers to execute arbitrary commands.
Detects screenshot files being created in temp directories by Node.js processes. OtterCookie captures multi-monitor screenshots and stores them as JPEG files before exfiltration.
Detects the creation of files associated with NPM packages compromised in the "Sha1-Hulud: The Second Coming" campaign. This is a broad query intended for hunting and requires manual verification of package versions.
Detects possible command execution by web application/web shell
Detects process execution patterns associated with the "Sha1-Hulud: The Second Coming" NPM supply chain attack. This includes the silent installation of the 'bun' runtime during an 'npm install' and a destructive file shredding command. The rule filters out legitimate manual installations by developers by checking the initiating parent process.
This rule detects the creation or modification of files associated with the Shai-Hulud 2.0 worm. The detection is based on specific file hashes and a behavioral rule for an unusually large 'bun_environment.js' file, which is a key indicator of the malware's obfuscation techniques.
Detection use of the command "split" to split files into parts and possible transfer.
Detects attempts to post the file with the usage of wget utility.
The adversary can bypass the permission restriction with the misconfigured sudo permission for wget utility which could allow them to read files like /etc/shadow.
The adversary can bypass the permission restriction with the misconfigured sudo permission for wget utility which could allow them to read files like /etc/shadow.
Detects loading of kernel modules with insmod command.
Loadable Kernel Modules (LKMs) are pieces of code that can be loaded and unloaded into the kernel upon demand.
Adversaries may use LKMs to obtain persistence within the system or elevate the privileges.
Loadable Kernel Modules (LKMs) are pieces of code that can be loaded and unloaded into the kernel upon demand.
Adversaries may use LKMs to obtain persistence within the system or elevate the privileges.
Detects attempts to collect data stored in the clipboard from users with the usage of xclip tool.
Xclip has to be installed.
Highly recommended using rule on servers, due to high usage of clipboard utilities on user workstations.
Xclip has to be installed.
Highly recommended using rule on servers, due to high usage of clipboard utilities on user workstations.
Data Compressed
Sigma
An adversary may compress data (e.g., sensitive documents) that is collected prior to exfiltration in order to make it portable and minimize the amount of data sent over the network.
Adversaries may shutdown/reboot systems to interrupt access to, or aid in the destruction of, those systems.
Detects the execution of host or user discovery utilities such as "whoami", "hostname", "id", etc.
Adversaries may use the information from System Owner/User Discovery during automated discovery to shape follow-on behaviors, including whether or not the adversary fully infects the target and/or attempts specific actions.
Adversaries may use the information from System Owner/User Discovery during automated discovery to shape follow-on behaviors, including whether or not the adversary fully infects the target and/or attempts specific actions.
Detects program executions in suspicious non-program folders related to malware or hacking activity
Detects attempts to collect image data stored in the clipboard from users with the usage of xclip tool.
Xclip has to be installed.
Highly recommended using rule on servers, due to high usage of clipboard utilities on user workstations.
Xclip has to be installed.
Highly recommended using rule on servers, due to high usage of clipboard utilities on user workstations.
Detects command line parameter very often used with coin miners
Detects overwriting (effectively wiping/deleting) of a file.
Detecting attempts to extract passwords with grep
Network sniffing refers to using the network interface on a system to monitor or capture information sent over a wired or wireless connection.
An adversary may place a network interface into promiscuous mode to passively access data in transit over the network, or use span ports to capture a larger amount of data.
An adversary may place a network interface into promiscuous mode to passively access data in transit over the network, or use span ports to capture a larger amount of data.
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