Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
390 detections
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The following analytic detects the execution of a Unix shell command designed to wipe root directories on a Linux host. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on the 'rm' command with force recursive deletion and the '--no-preserve-root' option. This activity is significant as it indicates potential data destruction attempts, often associated with malware like Awfulshred. If confirmed malicious, this behavior could lead to severe data loss, system instability, and compromised integrity of the affected Linux host. Immediate investigation and response are crucial to mitigate potential damage.
The analytic detects the deletion of SSL certificates on a Linux machine. It leverages filesystem event logs to identify when files with extensions .pem or .crt are deleted from the /etc/ssl/certs/ directory. This activity is significant because attackers may delete or modify SSL certificates to disable security features or evade defenses on a compromised system. If confirmed malicious, this behavior could indicate an attempt to disrupt secure communications, evade detection, or execute a destructive payload, potentially leading to significant security breaches and data loss.
The following analytic detects processes that clear or free page cache on a Linux system. It leverages Endpoint Detection and Response (EDR) data, focusing on specific command-line executions involving the kernel system request `drop_caches`. This activity is significant as it may indicate an attempt to delete forensic evidence or the presence of wiper malware like Awfulshred. If confirmed malicious, this behavior could allow an attacker to cover their tracks, making it difficult to investigate other malicious activities or system compromises.
The analytic detects the execution of the 'shred' command on a Linux machine, which is used to overwrite files to make them unrecoverable. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process names and command-line arguments. This activity is significant because the 'shred' command can be used in destructive attacks, such as those seen in the Industroyer2 malware targeting energy facilities. If confirmed malicious, this activity could lead to the permanent destruction of critical files, severely impacting system integrity and data availability.
The analytic detects the execution of a Unix shell command designed to wipe root directories on a Linux host. It specifically looks for the 'rm' command with force recursive deletion ('-rf') and the '--no-preserve-root' option. This activity indicates potential data destruction attempts, often associated with malware like Awfulshred. If confirmed malicious, this behavior could lead to severe data loss, system instability, and compromised integrity of the affected Linux host. Immediate investigation and response are crucial to mitigate potential damage.
This analytic detects a suspicious process attempting to terminate the Lsass.exe process. It leverages Sysmon EventCode 10 logs to identify processes granted PROCESS_TERMINATE access to Lsass.exe. This activity is significant because Lsass.exe is a critical process responsible for enforcing security policies and handling user credentials. If confirmed malicious, this behavior could indicate an attempt to perform credential dumping, privilege escalation, or evasion of security policies, potentially leading to unauthorized access and persistence within the environment.
The following analytic detects the execution of a command to enable all SysRq functions on a Linux system, a technique associated with the AwfulShred malware. It leverages Endpoint Detection and Response (EDR) data to identify processes executing the command to pipe bitmask '1' to /proc/sys/kernel/sysrq. This activity is significant as it can indicate an attempt to manipulate kernel system requests, which is uncommon and potentially malicious. If confirmed, this could allow an attacker to reboot the system or perform other critical actions, leading to system instability or further compromise.
This analytic detects a sharp increase in the number of files written to a specific host. It leverages the Endpoint.Filesystem data model, focusing on 'created' actions and comparing current file write counts against historical averages and standard deviations. This activity is significant as a sudden spike in file writes can indicate malicious activities such as ransomware encryption or data exfiltration. If confirmed malicious, this behavior could lead to significant data loss, system compromise, or further propagation of malware within the network.
This rule detects when a GitHub enterprise is deleted. This action can lead to significant data loss and disruption of services, indicating a critical security event or a malicious act. The rule correlates the user ID and the GitHub enterprise name over a 30-minute window to identify such deletions.
Detects when a GitHub repository is archived or deleted. This activity could indicate malicious intent, such as an attacker attempting to destroy evidence or disrupt development, or it could be a legitimate administrative action. Monitoring these events is crucial for maintaining code integrity and operational continuity.
Detects when a GitHub organization is removed from an enterprise. This action can lead to a loss of access to repositories, projects, and other organizational resources, potentially disrupting operations or indicating malicious activity aimed at disrupting the software development lifecycle.
Detects when a GitHub enterprise is deleted.
Detects when a GitHub organization is removed from an enterprise.
Detects when a GitHub repository is archived or deleted.
Delete Entra ID application. This is a soft delete, can still be recovered.
Detects when a user deletes multiple secrets or secret versions from Google Cloud Platform (GCP) Secret Manager within a one-hour period. This activity could indicate an attempt to destroy critical data or disrupt services.
This rule detects when a single user disables or destroys 10 or more Google Cloud KMS (Key Management Service) crypto key versions within a one-hour period. This activity could indicate an attacker attempting to destroy data encrypted by these keys, leading to data unavailability or integrity issues. The rule specifically looks for 'DestroyCryptoKeyVersion' events or 'UpdateCryptoKeyVersion' events where the key version state is changed to 'DISABLED'.
Identifies when a user deletes multiple files from Google Drive within a one-hour period. This activity may indicate an attempt at data destruction or an insider threat activity.
Detects when an AWS Key Management Service (KMS) key is disabled or scheduled for deletion. This activity can indicate an attempt to disrupt services, destroy data, or hinder forensic analysis by making encrypted data inaccessible.
Detects command line patterns used by BlackByte ransomware in different operations, including execution from the Public user directory, attempts to delete Task Manager, disable services, and use obfuscated PowerShell commands.
Identifies when a user deletes multiple files from Google Drive, which may indicate data destruction.
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