Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
32 detections
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'This query examines Microsoft Entra ID sign-ins for each application and identifies the most anomalous change in a user's location profile. The goal is to detect user account compromise, possibly via a specific application vector.'
'This query combines different Storage alerts with CommonSecurityLogs and StorageLogs helping analysts triage and investigate any
possible Storage related attacks faster thus reducing Mean Time To Respond'
possible Storage related attacks faster thus reducing Mean Time To Respond'
'This query examines Microsoft Entra ID sign-ins and identifies anomalous changes in a user's location profile. A variation joins results back onto the original sign-in data to review the location set with each identified user in tabular form.'
'Query for new sign-ins from stale/inactive accounts. UEBA filters based on ActivityInsights. Results for accounts created in the last 7 days are filtered out.'
Detects when there is a login attempt from a country that has not seen a successful login in the previous 14 days.
Threat actors may attempt to authenticate with credentials from compromised accounts - monitoring attempts from anomalous locations may help identify these attempts.
Authentication attempts should be investigated to ensure the activity was legitimate and if there is other similar activity.
Ref: https://docs.microsoft.com/azure/active-directory/fundamentals/security-operations-user-accounts#monitoring-for-failed-unusual-sign-ins
Threat actors may attempt to authenticate with credentials from compromised accounts - monitoring attempts from anomalous locations may help identify these attempts.
Authentication attempts should be investigated to ensure the activity was legitimate and if there is other similar activity.
Ref: https://docs.microsoft.com/azure/active-directory/fundamentals/security-operations-user-accounts#monitoring-for-failed-unusual-sign-ins
'This hunting query identifies Zoom room systems with high CPU alerts that may be a sign of device compromise.'
'This hunting query identifies Accounts that are new or inactive and have accessed or used GitHub that may be a sign of compromise.'
The following analytic detects CrowdStrike alerts for Medium Identity Risk Severity with a risk score of 55% or higher. These alerts indicate significant vulnerabilities in user identities, such as suspicious behavior or compromised credentials. Promptly investigating and addressing these alerts is crucial to prevent potential security breaches and ensure the integrity and protection of sensitive information and systems.
The analytic detects an AWS account successfully authenticating from multiple unique IP addresses within a 5-minute window. It leverages AWS CloudTrail logs, specifically monitoring `ConsoleLogin` events and counting distinct source IPs. This behavior is significant as it may indicate compromised credentials, potentially from a phishing attack, being used concurrently by an adversary and a legitimate user. If confirmed malicious, this activity could allow unauthorized access to corporate resources, leading to data breaches or further exploitation within the AWS environment.
This rule detects when an AWS user successfully authenticates to the AWS console from more than one unique IP address within a 5-minute window. This behavior can indicate a compromised account being accessed from multiple locations, potentially by different attackers, or by an attacker using a VPN/proxy service that rapidly changes IP addresses. The rule also includes an outcome that calculates a risk score based on successful logins originating from specific high-risk countries (Cuba, Iran, North Korea, Russia, Syria).
Detects when an AWS user successfully authenticating from more than one unique IP address within 5 minutes.
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