Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
1,243 detections
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The following analytic detects modifications to the Windows registry that change the Windows Defender Quick Scan Interval. It leverages data from the Endpoint.Registry data model, focusing on changes to the "QuickScanInterval" registry path. This activity is significant because altering the scan interval can impair Windows Defender's ability to detect malware promptly, potentially allowing threats to persist undetected. If confirmed malicious, this modification could enable attackers to bypass security measures, maintain persistence, and execute further malicious activities without being detected by quick scans.
The following analytic detects modifications to the Windows registry specifically targeting the "WppTracingLevel" setting within Windows Defender. This detection leverages data from the Endpoint.Registry data model to identify changes in the registry path associated with Windows Defender tracing levels. Such modifications are significant as they can impair the diagnostic capabilities of Windows Defender, potentially hiding malicious activities. If confirmed malicious, this activity could allow an attacker to evade detection and maintain persistence within the environment, leading to further compromise and data exfiltration.
The following analytic detects modifications to the Windows registry that disable the Windows Defender SmartScreen App Install Control feature. It leverages data from the Endpoint.Registry data model to identify changes to specific registry values. This activity is significant because disabling App Install Control can allow users to install potentially malicious web-based applications without restrictions, increasing the risk of security vulnerabilities. If confirmed malicious, this action could lead to the installation of harmful applications, potentially compromising the system and exposing sensitive information.
The following analytic detects modifications to the Windows registry entry "EnableWebContentEvaluation" to disable Windows Defender web content evaluation. It leverages data from the Endpoint.Registry datamodel, specifically monitoring changes where the registry value is set to "0x00000000". This activity is significant as it indicates an attempt to impair browser security features, potentially allowing malicious web content to bypass security checks. If confirmed malicious, this could lead to users interacting with harmful scripts or unsafe web elements, increasing the risk of system exploitation and security breaches.
The following analytic detects modifications to the Windows registry that disable Windows Defender Signature Retirement. It leverages data from the Endpoint.Registry data model, specifically monitoring changes to the DisableSignatureRetirement registry setting. This activity is significant because disabling signature retirement can prevent Windows Defender from removing outdated antivirus signatures, potentially reducing its effectiveness in detecting threats. If confirmed malicious, this action could allow an attacker to evade detection by using older, less relevant signatures, thereby compromising the system's security posture.
The following analytic detects modifications to the Windows registry that disable the Windows Defender Scan On Update feature. It leverages data from the Endpoint.Registry datamodel, specifically looking for changes to the "DisableScanOnUpdate" registry setting with a value of "0x00000001". This activity is significant because disabling automatic scans can leave systems vulnerable to malware and other threats. If confirmed malicious, this action could allow attackers to bypass Windows Defender, facilitating further compromise and persistence within the environment.
The following analytic detects modifications to the Windows registry that override the Windows Defender SmartScreen prompt. It leverages data from the Endpoint.Registry data model, specifically monitoring changes to the "PreventSmartScreenPromptOverride" registry setting. This activity is significant because it indicates an attempt to disable the prevention of user overrides for SmartScreen prompts, potentially allowing users to bypass security warnings. If confirmed malicious, this could lead to users inadvertently executing or accessing harmful content, increasing the risk of security incidents or system compromises.
The following analytic detects a suspicious registry modification that hides a user account from the Windows Login screen. It leverages data from the Endpoint.Registry data model, specifically monitoring changes to the registry path "*\\Windows NT\\CurrentVersion\\Winlogon\\SpecialAccounts\\Userlist*" with a value of "0x00000000". This activity is significant as it may indicate an adversary attempting to create a hidden admin account to avoid detection and maintain persistence on the compromised machine. If confirmed malicious, this could allow the attacker to maintain undetected access and control over the system, posing a severe security risk.
The following analytic detects modifications to the Windows registry that change the health check interval of Windows Defender. It leverages data from the Endpoint datamodel, specifically monitoring changes to the "ServiceKeepAlive" registry path with a value of "0x00000001". This activity is significant because altering Windows Defender settings can impair its ability to perform timely health checks, potentially leaving the system vulnerable. If confirmed malicious, this could allow an attacker to disable or delay security scans, increasing the risk of undetected malware or other malicious activities.
This analytic detects modifications to the Windows registry that disable Windows Defender's file hash computation by setting the EnableFileHashComputation value to 0. This can impair Windows Defender's ability to detect and scan for malware, potentially allowing attackers to bypass security controls for undetected malware execution and persistence.
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 identifies attempts to disable Windows Defender real-time behavior monitoring via PowerShell commands. It detects the use of specific `Set-MpPreference` parameters that disable various security features. This activity is significant as it is commonly used by malware such as RATs, bots, or Trojans to evade detection by disabling antivirus protections. If confirmed malicious, this action could allow an attacker to operate undetected, leading to potential data exfiltration, further system compromise, or persistent access within the environment.
The following analytic identifies the use of the WMIC command-line tool attempting to uninstall applications non-interactively. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on specific command-line patterns associated with WMIC. This activity is significant because it is uncommon and may indicate an attempt to evade detection by uninstalling security software, as seen in IcedID malware campaigns. If confirmed malicious, this behavior could allow an attacker to disable security defenses, facilitating further compromise and persistence within the environment.
The analytic detects the use of `fltMC.exe` to unload the Sysmon driver, which stops Sysmon from collecting data. It leverages Endpoint Detection and Response (EDR) logs, focusing on process names and command-line executions. This activity is significant because disabling Sysmon can blind security monitoring, allowing malicious actions to go undetected. If confirmed malicious, this could enable attackers to execute further attacks without being logged, leading to potential data breaches, privilege escalation, or persistent access within the environment.
Detects when third-party application access restrictions are disabled for a GitHub organization. This action can increase the attack surface by allowing unauthorized or malicious OAuth applications to access organization resources.
This rule detects when changes are made to a GitHub organization's fine-grained Personal Access Token (PAT) approval policy. Specifically, it triggers on events related to enabling or disabling the auto-approval of PAT requests, or enabling or disabling the forbidding of auto-approval for PAT requests. Such changes could indicate an attempt to weaken security controls around PATs, potentially allowing for easier creation of tokens that could be used for unauthorized access.
Detects when branch protection rules are disabled for a GitHub repository. This action can indicate an adversary attempting to bypass security controls to push malicious code or make unauthorized changes to a codebase.
This rule detects when changes are made to a GitHub enterprise or organization's Single Sign-On (SSO) configuration. This includes disabling SAML, updating SAML provider settings, disabling OIDC, and managing credential authorizations (deauthorize, grant, revoke). Such modifications can indicate an attempt to bypass or alter security controls, potentially for unauthorized access or defense evasion.
This rule detects when vulnerability alerts are disabled for GitHub Dependabot. Disabling these alerts can prevent developers from being notified about security vulnerabilities in their dependencies, potentially leading to unpatched systems and increased risk. This action could be an attempt by an attacker to impair defenses and hide their activities or to prevent the organization from identifying and remediating vulnerabilities.
This rule detects when GitHub secret scanning components are disabled or bypassed at the enterprise, organization, or repository level. This includes disabling secret scanning entirely, disabling it for new repositories, or bypassing push protection for custom patterns or generic secrets. Such actions can significantly reduce the security posture by allowing sensitive information to be committed to repositories without detection.
Detects when two-factor authentication requirements are disabled for a GitHub enterprise or organization. This could indicate an attacker attempting to weaken security controls to facilitate unauthorized access or maintain persistence.
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