Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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The analytic detects the addition of an application role assignment grant to a user in Office 365. It leverages data from the `o365_management_activity` dataset, specifically monitoring the "Add app role assignment grant to user" operation. This activity is significant as it can indicate unauthorized privilege escalation or the assignment of sensitive roles to users. If confirmed malicious, this could allow an attacker to gain elevated permissions, potentially leading to unauthorized access to critical resources and data within the Office 365 environment.
The analytic identifies when a user with sufficient access to the O365 Security & Compliance portal uses premium investigation features (Threat Explorer) to directly view email. Adversaries may exploit privileged access with this premium feature to enumerate or exfiltrate sensitive data.
The analytic detects accounts experiencing a high number of Single Sign-On (SSO) logon errors within Office 365. It specifically looks for `UserLoginFailed` operations with `LogonError` containing "Sso" in the `o365_management_activity` data. A count of 5 or more such errors from the same source, vendor account, vendor product, destination, signature, and user agent within a given timeframe is considered anomalous. This activity can indicate brute-force attempts against SSO, credential stuffing, or attempts to reuse hijacked SSO tokens, potentially leading to unauthorized account access, data breaches, or further compromise.
This 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 Linux Auditd, 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 identifies modifications to the registry path .wav\\OpenWithProgIds, associated with the Snake Malware campaign. This activity is significant because Snake's WerFault.exe uses this registry path to decrypt an encrypted blob containing critical components like the AES key, IV, and paths for its kernel driver and loader. If confirmed malicious, this could allow the attacker to load and execute Snake's kernel driver, leading to potential system compromise and persistent access.
This analytic detects when an email reported by a user in Microsoft 365 using the built-in report button is subsequently found to be malicious. Specifically, it looks for submissions that receive a 'Phish' or 'Malware' verdict from Microsoft's analysis.
This analytic detects when Microsoft Safe Links triggers an alert. This behavior indicates that a user has interacted with a phishing or otherwise malicious link within the Microsoft Office ecosystem, and Safe Links has taken action (allowed or blocked) against it.
The following analytic identifies an excessive number of authentication failures, including failed attempts against MFA prompt codes. It uses data from the `o365_management_activity` dataset, focusing on events where the authentication status is marked as failure. This behavior is significant as it may indicate a brute force attack or an attempt to compromise user accounts. If confirmed malicious, this activity could lead to unauthorized access, data breaches, or further exploitation within the environment.
The following analytic identifies a source host failing to authenticate against a remote host with multiple users, potentially indicating a Password Spraying attack. It leverages Windows Event 4625 (failed logon attempts) and Logon Type 3 (remote authentication) to detect this behavior. This activity is significant as it may represent an adversary attempting to gain initial access or elevate privileges within an Active Directory environment. If confirmed malicious, this could lead to unauthorized access, privilege escalation, and further compromise of the network.
The analytic identifies a single source IP failing to authenticate with multiple valid users, potentially indicating a Password Spraying attack against an Azure Active Directory tenant. It uses Azure SignInLogs data and calculates the standard deviation for source IPs, applying the 3-sigma rule to detect unusual numbers of failed authentication attempts. This activity is significant as it may signal an adversary attempting to gain initial access or elevate privileges. If confirmed malicious, this could lead to unauthorized access, privilege escalation, and potential compromise of sensitive information.
The following analytic detects when a content search is initiated within the Office 365 Security and Compliance Center. It leverages the SearchCreated operation from the o365_management_activity logs under the SecurityComplianceCenter workload. This activity is significant as it may indicate an attempt to access sensitive organizational data, including emails and documents. If confirmed malicious, this could lead to unauthorized data access, potential data exfiltration, and compliance violations. Monitoring this behavior helps ensure the integrity and security of organizational data.
This analytic detects when an email manually submitted to Microsoft through the Security & Compliance portal is found to be malicious. This capability is an enhanced protection feature that can be used within O365 tenants by administrative users to report potentially malicious emails. This correlation looks for any submission that returns a Phish or Malware verdict upon submission.
The following analytic identifies an O365 account experiencing more than 10 failed authentication attempts within 5 minutes. It uses O365 Unified Audit Logs, specifically "UserLoginFailed" events, to monitor and flag accounts exceeding this threshold. This activity is significant as it may indicate a brute force attack or password guessing attempt. If confirmed malicious, an attacker could gain unauthorized access to the O365 environment, potentially compromising sensitive emails, documents, and other data. Prompt investigation and action are crucial to prevent unauthorized access and data breaches.
This rule detects file downloads from Office 365 or Microsoft Graph Activity logs, specifically excluding anonymous file links. It looks for 'FileDownloaded' events from Office 365 and HTTP GET requests with a 302 response code from Microsoft Graph Activity, ensuring the download is not initiated by an anonymous user.
This rule detects when an Entra ID (formerly Azure Active Directory) conditional access policy has been modified. It specifically looks for 'USER_RESOURCE_UPDATE_CONTENT' events within Office 365, targeting the 'AzureActiveDirectory' application, where the 'extendedAuditEventCategory' is 'Policy' and the 'product_event_type' is 'Update policy.'. This indicates a change to a conditional access policy, which could be a legitimate administrative action or a malicious attempt to alter security controls.
This rule detects the creation, modification, or deletion of client secrets within an Entra ID (formerly Azure AD) application. While client secrets have legitimate uses, their manipulation can be a method for adversaries to establish persistence by gaining unauthorized access to an application's functionalities and data.
This rule detects successful login activity by administrative users to Microsoft Office 365 applications that are not part of a predefined list of common, first-party Microsoft cloud applications. This helps identify potentially unauthorized or unusual access to less common applications within the O365 ecosystem by privileged accounts. The rule specifically targets 'USER_LOGIN' events from 'Office 365' where the login is allowed and the application ID is not in the 'first_party_ms_cloud_apps' list. It also filters for users present in an 'msazure_admin_watchlist'.
This rule detects persistent login activity to the Azure AD PowerShell application. Specifically, it looks for successful user logins to the application identified by the product object ID '1b730954-1685-4b74-9bfd-dac224a7b894' (which corresponds to Azure AD PowerShell) by the same user ID over a 24-hour period. The rule is designed to flag continuous access to this administrative tool, which is not considered a security best practice and warrants further investigation.
This rule detects the creation or modification of anonymous links in OneDrive. Anonymous links can be used to export files from OneDrive, posing a risk of data leakage, especially in organizations that do not support their creation.
This rule detects successful login activities to the Azure AD PowerShell application within Office 365. While legitimate administrative tasks often involve using Azure AD PowerShell, adversaries can also abuse this access to gather user information or perform other malicious actions. The rule specifically looks for successful user logins to the application identified by the product object ID '1b730954-1685-4b74-9bfd-dac224a7b894'. It also includes commented-out filters for ADFS Sync Accounts, which are typically legitimate and run every 30 minutes.
This rule detects when files are downloaded from OneDrive using anonymous links. While not inherently malicious, some organizations prohibit anonymous links due to data leakage risks. The rule specifically looks for 'FileDownloaded' events from Office 365 where the principal user ID indicates an anonymous access (e.g., 'urn:spo:anon#' or 'anonymous').
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