Update v8.17.2

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This section lists all updates associated with version 8.17.2 of the Fleet integration Prebuilt Security Detection Rules.

Rule Description Status Version

Azure Entra MFA TOTP Brute Force Attempts

Identifies brute force attempts against Azure Entra multi-factor authentication (MFA) Time-based One-Time Password (TOTP) verification codes. This rule detects high frequency failed TOTP code attempts for a single user in a short time-span. Adversaries with valid credentials, when attempting to login to Azure portal or other Azure services, may be prompted to provide a TOTP code as part of the MFA process. If successful, adversaries can bypass MFA and gain unauthorized access to Azure resources.

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1

Memory Threat - Detected - Elastic Defend

Generates a detection alert each time an Elastic Defend alert for memory signatures are received. Enabling this rule allows you to immediately begin investigating your Endpoint memory signature alerts. This rule identifies Elastic Defend memory signature detections only, and does not include prevention alerts.

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1

Memory Threat - Prevented- Elastic Defend

Generates a detection alert each time an Elastic Defend alert for memory signatures are received. Enabling this rule allows you to immediately begin investigating your Endpoint memory signature alerts. This rule identifies Elastic Defend memory signature preventions only, and does not include detection only alerts.

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1

Behavior - Detected - Elastic Defend

Generates a detection alert each time an Elastic Defend alert for malicious behavior is received. Enabling this rule allows you to immediately begin investigating your Endpoint behavior alerts. This rule identifies Elastic Defend behavior detections only, and does not include prevention alerts.

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1

Behavior - Prevented - Elastic Defend

Generates a detection alert each time an Elastic Defend alert for malicious behavior is received. Enabling this rule allows you to immediately begin investigating your Endpoint behavior alerts. This rule identifies Elastic Defend behavior preventions only, and does not include detection only alerts.

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1

Malicious File - Detected - Elastic Defend

Generates a detection alert each time an Elastic Defend alert for malicious files is received. Enabling this rule allows you to immediately begin investigating your Endpoint malicious file alerts. This rule identifies Elastic Defend malicious file detections only, and does not include prevention alerts.

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1

Malicious File - Prevented - Elastic Defend

Generates a detection alert each time an Elastic Defend alert for malicious files is received. Enabling this rule allows you to immediately begin investigating your Endpoint malicious file alerts. This rule identifies Elastic Defend malicious file preventions only, and does not include detection only alerts.

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Ransomware - Detected - Elastic Defend

Generates a detection alert each time an Elastic Defend alert for ransomware are received. Enabling this rule allows you to immediately begin investigating your Endpoint ransomware alerts. This rule identifies Elastic Defend ransomware detections only, and does not include prevention alerts.

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Ransomware - Prevented - Elastic Defend

Generates a detection alert each time an Elastic Defend alert for ransomware are received. Enabling this rule allows you to immediately begin investigating your Endpoint ransomware alerts. This rule identifies Elastic Defend ransomware preventions only, and does not include detection only alerts.

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Dynamic Linker (ld.so) Creation

This rule detects the creation of the dynamic linker (ld.so) file. The dynamic linker is used to load shared libraries needed by an executable. Attackers may attempt to replace the dynamic linker with a malicious version to execute arbitrary code.

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Unusual Preload Environment Variable Process Execution

This rule detects processes that are executed with environment variables that are not commonly used. This could indicate an attacker is attempting to hijack the execution flow of a process by loading malicious libraries or binaries into the process memory space.

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Pluggable Authentication Module (PAM) Version Discovery

This rule detects PAM version discovery activity on Linux systems. PAM version discovery can be an indication of an attacker attempting to backdoor the authentication process through malicious PAM modules.

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Kernel Object File Creation

This rule detects the creation of a Linux kernel object file (.ko) on a system. Threat actors may leverage Linux kernel object files to load a rootkit or other type of malware on a system providing them with complete control and the ability to hide from security products.

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Loadable Kernel Module Configuration File Creation

This rule detects the creation of Loadable Kernel Module (LKM) configuration files. Attackers may create or modify these files to allow their LKMs to be loaded upon reboot, ensuring persistence on a compromised system.

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Pluggable Authentication Module (PAM) Creation in Unusual Directory

This rule detects the creation of Pluggable Authentication Module (PAM) shared object files in unusual directories. Attackers may compile PAM shared object files in temporary directories, to move them to system directories later, potentially allowing them to maintain persistence on a compromised system, or harvest account credentials.

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Pluggable Authentication Module (PAM) Source Download

This rule detects the usage of curl or wget to download the source code of a Pluggable Authentication Module (PAM) shared object file. Attackers may download the source code of a PAM shared object file to create a backdoor in the authentication process.

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Simple HTTP Web Server Connection

This rule detects connections accepted by a simple HTTP web server in Python and PHP built-in modules. Adversaries may create simple HTTP web servers to establish persistence on a compromised system by uploading a reverse or command shell payload to the server web root, allowing them to regain remote access to the system if lost. This event may occur when an attacker requests the server to execute a command or script via a potential backdoor.

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Simple HTTP Web Server Creation

This rule detects the creation of a simple HTTP web server using PHP or Python built-in modules. Adversaries may create simple HTTP web servers to establish persistence on a compromised system by uploading a reverse or command shell payload to the server web root, allowing them to regain remote access to the system if lost.

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Login via Unusual System User

This rule identifies successful logins by system users that are uncommon to authenticate. These users have nologin set by default, and must be modified to allow SSH access. Adversaries may backdoor these users to gain unauthorized access to the system.

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Unusual SSHD Child Process

This rule detects the creation of an unusual SSHD child process through the usage of the new_terms rule type. Attackers may abuse SSH to maintain persistence on a compromised system, or to establish a backdoor for remote access, potentially resulting in an unusual SSHD child process being created.

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My First Rule

This rule helps you test and practice using alerts with Elastic Security as you get set up. It’s not a sign of threat activity.

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4

Rapid Secret Retrieval Attempts from AWS SecretsManager

This rule attempts to identify rapid secret retrieval attempts from AWS SecretsManager. Adversaries may attempt to retrieve secrets from the Secrets Manager programmatically using the GetSecretValue or BatchGetSecretValue API actions.

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2

Endpoint Security (Elastic Defend)

Generates a detection alert each time an Elastic Defend alert is received. Enabling this rule allows you to immediately begin investigating your Endpoint alerts.

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104

Potential Persistence via File Modification

This rule leverages the File Integrity Monitoring (FIM) integration to detect file modifications of files that are commonly used for persistence on Linux systems. The rule detects modifications to files that are commonly used for cron jobs, systemd services, message-of-the-day (MOTD), SSH configurations, shell configurations, runtime control, init daemon, passwd/sudoers/shadow files, Systemd udevd, and XDG/KDE autostart entries. To leverage this rule, the paths specified in the query need to be added to the FIM policy in the Elastic Security app.

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5

Multiple Okta Sessions Detected for a Single User

Detects when a user has started multiple Okta sessions with the same user account and different session IDs. This may indicate that an attacker has stolen the user’s session cookie and is using it to access the user’s account from a different location.

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207

Creation or Modification of Pluggable Authentication Module or Configuration

This rule monitors for the creation or modification of Pluggable Authentication Module (PAM) shared object files or configuration files. Attackers may create or modify these files to maintain persistence on a compromised system, or harvest account credentials.

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3

Suspicious Antimalware Scan Interface DLL

Identifies the creation of the Antimalware Scan Interface (AMSI) DLL in an unusual location. This may indicate an attempt to bypass AMSI by loading a rogue AMSI module instead of the legit one.

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314

Remote Execution via File Shares

Identifies the execution of a file that was created by the virtual system process. This may indicate lateral movement via network file shares.

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115

Uncommon Registry Persistence Change

Detects changes to registry persistence keys that are not commonly used or modified by legitimate programs. This could be an indication of an adversary’s attempt to persist in a stealthy manner.

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212

Suspicious WMI Event Subscription Created

Detects the creation of a WMI Event Subscription. Attackers can abuse this mechanism for persistence or to elevate to SYSTEM privileges.

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306