Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This analytic provides comprehensive monitoring of configuration changes on Cisco devices by analyzing archive logs. Configuration archive logging captures all changes made to a device's configuration, providing a detailed audit trail that can be used to identify suspicious or malicious activities. This detection is particularly valuable for identifying patterns of malicious configuration changes that might indicate an attacker's presence, such as the creation of backdoor accounts, SNMP community string modifications, and TFTP server configurations for data exfiltration. By analyzing these logs, security teams can gain a holistic view of configuration changes across sessions and users, helping to detect sophisticated attack campaigns like those conducted by threat actors such as Static Tundra.
This rule detects changes to user multi-factor authentication (MFA) methods within an organization. It identifies when MFA methods are added, removed, or when the default MFA method is changed. This helps audit MFA configuration changes, detect unauthorized or suspicious modifications to authentication methods, support incident response by identifying the actor and timestamp of the change, and ensure compliance with security policies requiring strong authentication.
This rule detects changes to privileged roles and group memberships within Azure Active Directory. It helps identify potential unauthorized privilege escalation, supports compliance and audit requirements, and allows correlation of identity changes with suspicious activity or alerts. The rule specifically looks for operations such as adding/removing members from roles or groups, and updating role memberships or user details, ensuring the operation was successful.
This detection rule flags events where conditional access policies are getting weaker, when modifications to CA inclusion or exclusion groups are happening, or when the effectiveness of a policy is disabled.
Detects when a Group Policy Object (GPO) is modified to include Client-Side Extensions (CSEs) for managing local group memberships or user rights assignments. While this can be a legitimate administrative action, attackers can abuse this capability to escalate privileges by adding accounts to sensitive local groups (e.g., Administrators) or granting powerful user rights. This alert serves as an early warning to investigate the specific changes made within the GPO.
The analytic detects potentially suspicious modifications to Windows Audit Policy auditing options registry values. It focuses on changes to specific auditing option values ("CrashOnAuditFail", "FullPrivilegeAuditing", "AuditBaseObjects", "AuditBaseDirectories") within the "HKLM\System\CurrentControlSet\Control\Lsa\" registry key. Such modifications could indicate a threat actor attempting to tamper with audit policy configurations, potentially disabling SACLs (System Access Control Lists) to bypass defenses and facilitate further malicious activities like machine compromise or lateral movement.
Detects modifications to Group Policy Objects (GPOs) that enable script processing. Threat actors, such as Storm-2603, abuse GPOs to deploy ransomware (like Warlock) by adding malicious startup or logon scripts. This detection identifies when the "Group Policy Scripts" client-side extension is added to a GPO, which is a key step in this attack chain. This activity is logged under Event ID 5136 on Domain Controllers.
The analytic detects when a Duo policy is created or updated to allow network-based bypass of two-factor authentication (2FA). It identifies this behavior by searching Duo administrator logs for policy creation or update actions where the networks_allow field is present, indicating that specific networks have been permitted to bypass 2FA requirements. This is achieved by parsing the event description and filtering for relevant policy changes, then aggregating the results by user and administrator details. Detecting this behavior is critical for a Security Operations Center (SOC) because allowing network-based 2FA bypass can significantly weaken authentication controls, potentially enabling unauthorized access if a trusted network is compromised or misconfigured. Attackers or malicious insiders may exploit this policy change to circumvent 2FA protections, increasing the risk of account takeover and lateral movement within the environment. Prompt detection enables SOC analysts to investigate and respond to potentially risky policy modifications before they can be leveraged for malicious purposes.
The following analytic detects instances where a Duo administrator performs a bulk deletion of more than three policies in a single action. It identifies this behavior by searching Duo activity logs for the policy_bulk_delete action, extracting the names of deleted policies, and counting them. If the count exceeds three, the event is flagged. This behavior is significant for a Security Operations Center (SOC) because mass deletion of security policies can indicate malicious activity, such as an attacker or rogue administrator attempting to weaken or disable security controls, potentially paving the way for further compromise. Detecting and investigating such actions promptly is critical, as the impact of this attack could include reduced security posture, increased risk of unauthorized access, and potential data breaches. Monitoring for bulk policy deletions helps ensure that any suspicious or unauthorized changes to security configurations are quickly identified and addressed to protect organizational assets and maintain compliance.
The analytic identifies instances where a Duo administrator creates or updates a policy to allow the use of outdated Flash components, specifically by detecting policy changes with the `flash_remediation=no remediation` attribute. This behavior is significant because permitting old Flash increases the attack surface due to known vulnerabilities. Attackers may exploit such policy changes to bypass security controls, introduce malware, or escalate privileges. Detecting these modifications helps prevent potential exploitation and reduces organizational risk. Immediate investigation is recommended to determine if the change was authorized or indicative of malicious activity.
The analytic detects instances where a Duo policy is created or updated to allow access without two-factor authentication (2FA). It identifies this behavior by searching Duo administrator activity logs for policy changes that set the authentication status to "Allow access without 2FA." By monitoring for these specific actions, the analytic highlights potential attempts to weaken authentication controls, which could be indicative of malicious activity or insider threats. This behavior is critical for a SOC to identify, as bypassing 2FA significantly reduces the security posture of an organization, making it easier for attackers to gain unauthorized access to sensitive systems and data. Detecting and responding to such policy changes promptly helps prevent potential account compromise and mitigates the risk of broader security breaches.
The following analytic detects when a Duo policy is created or updated to allow access without two-factor authentication (2FA) for users in countries other than the default. It identifies this behavior by searching Duo administrator activity logs for policy creation or update actions where the policy description indicates that access is permitted without 2FA for certain user locations. This is achieved by parsing the relevant fields in the logs and filtering for the specific condition of 'Allow access without 2FA.' This behavior is significant for a Security Operations Center (SOC) because bypassing 2FA for any user group or location weakens the organization's security posture and increases the risk of unauthorized access. Attackers or malicious insiders may exploit such policy changes to circumvent strong authentication controls, potentially leading to account compromise, data breaches, or lateral movement within the environment. Early detection of these policy modifications enables the SOC to investigate and respond before attackers can leverage the weakened controls, thereby reducing the risk and impact of a successful attack.
The following analytic identifies instances where a Duo administrator creates or updates a policy to explicitly deny user access within the Duo environment. It detects this behavior by searching Duo administrator activity logs for policy creation or update actions where the authentication status is set to "Deny access." By correlating these events with user and admin details, the analytic highlights potential misuse or malicious changes to access policies. This behavior is critical for a SOC to monitor, as unauthorized or suspicious denial of access policies can indicate insider threats, account compromise, or attempts to disrupt legitimate user access. The impact of such an attack may include denial of service to critical accounts, disruption of business operations, or the masking of further malicious activity by preventing targeted users from accessing resources. Early detection enables rapid investigation and remediation to maintain organizational security and availability.
The following analytic detects when a Duo policy is created or updated to allow the use of outdated Java versions, which can introduce significant security risks. It works by searching Duo administrator activity logs for policy creation or update actions where the policy explicitly sets 'java_remediation' to 'no remediation', indicating that no restrictions are enforced against old Java. The analytic aggregates relevant details such as the user, admin email, and action context for further investigation. Identifying this behavior is critical for a Security Operations Center (SOC) because allowing outdated Java can expose an organization to known vulnerabilities, malware, and exploitation techniques. Attackers or malicious insiders may attempt to weaken security controls by modifying policies to permit insecure software, increasing the risk of compromise. Prompt detection enables SOC analysts to respond quickly, revert risky changes, and mitigate potential threats before they are exploited.
The analytic detects when a Duo policy is created or updated to allow devices without a screen lock requirement. It identifies this behavior by searching Duo administrator activity logs for policy creation or update events where the 'require_lock' setting is set to false. This action may indicate a weakening of device security controls, potentially exposing the organization to unauthorized access if devices are lost or stolen. For a Security Operations Center (SOC), identifying such policy changes is critical, as attackers or malicious insiders may attempt to lower authentication standards to facilitate unauthorized access. The impact of this attack could include increased risk of credential compromise, data breaches, or lateral movement within the environment due to reduced device security requirements.
The analytic detects when a Duo policy is created or updated to allow tampered or rooted devices, such as jailbroken smartphones, to access protected resources. It identifies this behavior by searching Duo administrator activity logs for policy changes where the allow_rooted_devices setting is enabled. This is accomplished by filtering for policy creation or update actions and parsing the policy description for the relevant configuration. Allowing tampered devices poses a significant security risk, as these devices may bypass built-in security controls, run unauthorized software, or be more susceptible to compromise. For a Security Operations Center (SOC), identifying such policy changes is critical because it may indicate either a misconfiguration or a malicious attempt to weaken authentication requirements, potentially enabling attackers to access sensitive systems with compromised devices. The impact of this attack can include unauthorized access, data breaches, and lateral movement within the environment, making prompt detection and response essential to maintaining organizational security.
KQL Query from file: Monitoring Cross-Tenant Abuse by Threat Actors
KQL Query
KQL Query from file: Overprivileged Admin-Consented OAuth Applications
This rule detects when the user risk and multi-factor authentication (MFA) registration policy is updated within Azure Active Directory (AAD). Attackers may modify these policies to bypass MFA, weaken security thresholds, facilitate further attacks, or maintain persistence by altering how users authenticate or register for MFA.
The following analytic detects the creation of a new Group Policy Object (GPO) using Splunk's Admon data. It identifies events where a new GPO is created, excluding default "New Group Policy Object" entries. Monitoring GPO creation is crucial as adversaries can exploit GPOs to escalate privileges or deploy malware across an Active Directory network. If confirmed malicious, this activity could allow attackers to control system configurations, deploy ransomware, or propagate malware, significantly compromising the network's security.
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