Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This query helps hunting for BEC - File sharing tactics - Dropbox
'Often times after the initial compromise the attackers create inbox rules to delete emails that contain certain keywords.
This is done so as to limit ability to warn compromised users that they've been compromised. Below is a sample query that tries to detect this.
Reference: https://www.reddit.com/r/sysadmin/comments/7kyp0a/recent_phishing_attempts_my_experience_and_what/'
This is done so as to limit ability to warn compromised users that they've been compromised. Below is a sample query that tries to detect this.
Reference: https://www.reddit.com/r/sysadmin/comments/7kyp0a/recent_phishing_attempts_my_experience_and_what/'
In this query, we hunt for inbound emails having URLs from QR codes and suspicious keywords in subject
Graph of MDO detections trended over time
This query looks for users accessing multiple other users' mailboxes, or accessing multiple folders in another user's mailbox.
This query is inspired by an Azure Sentinel detection.
Reference - https://github.com/Azure/Azure-Sentinel/blob/master/Hunting%20Queries/OfficeActivity/AnomolousUserAccessingOtherUsersMailbox.yaml
This query is inspired by an Azure Sentinel detection.
Reference - https://github.com/Azure/Azure-Sentinel/blob/master/Hunting%20Queries/OfficeActivity/AnomolousUserAccessingOtherUsersMailbox.yaml
In this detection, we track emails with suspicious keywords in subjects.
'Identifies a match across various data feeds for domains related to an actor tracked by Microsoft as Star Blizzard.'
In this query, we hunt for inbound emails having URLs from QR codes and send by non-prevalent senders
This query helps in reviewing malicious emails allowed due to admin overrides
Identifies anomalous increases in Exchange mail items accessed operations.
The query leverages KQL built-in anomaly detection algorithms to find large deviations from baseline patterns.
Sudden increases in execution frequency of sensitive actions should be further investigated for malicious activity.
Manually change scorethreshold from 1.5 to 3 or higher to reduce the noise based on outliers flagged from the query criteria.
Read more about MailItemsAccessed- https://docs.microsoft.com/microsoft-365/compliance/advanced-audit?view=o365-worldwide#mailitemsaccessed
Query insprired by Azure Sentinel detection https://github.com/Azure/Azure-Sentinel/blob/master/Detections/OfficeActivity/MailItemsAccessedTimeSeries.yaml
The query leverages KQL built-in anomaly detection algorithms to find large deviations from baseline patterns.
Sudden increases in execution frequency of sensitive actions should be further investigated for malicious activity.
Manually change scorethreshold from 1.5 to 3 or higher to reduce the noise based on outliers flagged from the query criteria.
Read more about MailItemsAccessed- https://docs.microsoft.com/microsoft-365/compliance/advanced-audit?view=o365-worldwide#mailitemsaccessed
Query insprired by Azure Sentinel detection https://github.com/Azure/Azure-Sentinel/blob/master/Detections/OfficeActivity/MailItemsAccessedTimeSeries.yaml
This query visualises total emails with Phish detections over time summarizing the data daily by Phish detection technologies/controls used for detecting unknown-unique phish
The following analytic detects shared files in Google Drive with suspicious filenames commonly used in spear phishing campaigns. It leverages GSuite Drive logs to identify documents with titles that include keywords like "dhl," "ups," "invoice," and "shipment." This activity is significant because such filenames are often used to lure users into opening malicious documents or clicking harmful links. If confirmed malicious, this activity could lead to unauthorized access, data theft, or further compromise of the user's system.
This query helps reviewing URL click count by ClickAction
In this query, we are looking for Url clicks on emails which are generated the alert-A potentially malicious URL click was detected
This query helps hunting for email conversation take over attempts
This query helps in determining clickthroughs when email delivered because of detection overrides.
This detection approach correlates a user accessing an email with image/document attachments and a risky sign-in attempt from non-trusted devices.
This query helps hunt for emails with malicious URLs based on external IOC source
This query was originally published on Twitter, by @MsftSecIntel.
The query helps detect emails associated with a campaign that has used open redirector URLs. The campaign's URLs begin with the distinct pattern, hxxps://t. Attackers use URL redirection to manipulate users into visiting a malicious website or to evade detection.
Reference - https://twitter.com/MsftSecIntel
The query helps detect emails associated with a campaign that has used open redirector URLs. The campaign's URLs begin with the distinct pattern, hxxps://t. Attackers use URL redirection to manipulate users into visiting a malicious website or to evade detection.
Reference - https://twitter.com/MsftSecIntel
This query helps hunting for Emails containing links to IP addresses
This query visualises total emails with Phish detections over time summarizing the data daily by various Phish Detection technologies/controls
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