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Aug 31, 2026Recent Discussions
Kerberos and the End of RC4: Protocol Hardening and Preparing for CVE‑2026‑20833
CVE-2026-20833 addresses the continued use of the RC4‑HMAC algorithm within the Kerberos protocol in Active Directory environments. Although RC4 has been retained for many years for compatibility with legacy systems, it is now considered cryptographically weak and unsuitable for modern authentication scenarios. As part of the security evolution of Kerberos, Microsoft has initiated a process of progressive protocol hardening, whose objective is to eliminate RC4 as an implicit fallback, establishing AES128 and AES256 as the default and recommended algorithms. This change should not be treated as optional or merely preventive. It represents a structural change in Kerberos behavior that will be progressively enforced through Windows security updates, culminating in a model where RC4 will no longer be implicitly accepted by the KDC. If Active Directory environments maintain service accounts, applications, or systems dependent on RC4, authentication failures may occur after the application of the updates planned for 2026, especially during the enforcement phases introduced starting in April and finalized in July 2026. For this reason, it is essential that organizations proactively identify and eliminate RC4 dependencies, ensuring that accounts, services, and applications are properly configured to use AES128 or AES256 before the definitive changes to Kerberos protocol behavior take effect. Official Microsoft References CVE-2026-25177 - Security Update Guide - Microsoft - Active Directory Domain Services Elevation of Privilege Vulnerability Microsoft Support – How to manage Kerberos KDC usage of RC4 for service account ticket issuance changes related to CVE-2026-20833 (KB 5073381) Microsoft Learn – Detect and Remediate RC4 Usage in Kerberos AskDS – What is going on with RC4 in Kerberos? Beyond RC4 for Windows authentication | Microsoft Windows Server Blog So, you think you’re ready for enforcing AES for Kerberos? | Microsoft Community Hub Risk Associated with the Vulnerability When RC4 is used in Kerberos tickets, an authenticated attacker can request Service Tickets (TGS) for valid SPNs, capture these tickets, and perform offline brute-force attacks, particularly Kerberoasting scenarios, with the goal of recovering service account passwords. Compared to AES, RC4 allows significantly faster cracking, especially for older accounts or accounts with weak passwords. Technical Overview of the Exploitation In simplified terms, the exploitation flow occurs as follows: The attacker requests a TGS for a valid SPN. The KDC issues the ticket using RC4, when that algorithm is still accepted. The ticket is captured and analyzed offline. The service account password is recovered. The compromised account is used for lateral movement or privilege escalation. Official Timeline Defined by Microsoft Important clarification on enforcement behavior Explicit account encryption type configurations continue to be honored even during enforcement mode. The Kerberos hardening associated with CVE‑2026‑20833 focuses on changing the default behavior of the KDC, enforcing AES-only encryption for TGS ticket issuance when no explicit configuration exists. This approach follows the same enforcement model previously applied to Kerberos session keys in earlier security updates (for example, KB5021131 related to CVE‑2022‑37966), representing another step in the progressive removal of RC4 as an implicit fallback. January 2026 – Audit Phase Starting in January 2026, Microsoft initiated the Audit Phase related to changes in RC4 usage within Kerberos, as described in the official guidance associated with CVE-2026-20833. The primary objective of this phase is to allow organizations to identify existing RC4 dependencies before enforcement changes are applied in later phases. During this phase, no functional breakage is expected, as RC4 is still permitted by the KDC. However, additional auditing mechanisms were introduced, providing greater visibility into how Kerberos tickets are issued in the environment. Analysis is primarily based on the following events recorded in the Security Log of Domain Controllers: Event ID 4768 – Kerberos Authentication Service (AS request / Ticket Granting Ticket) Event ID 4769 – Kerberos Service Ticket Operations (Ticket Granting Service – TGS) Additional events related to the KDCSVC service These events allow identification of: the account that requested authentication the requested service or SPN the source host of the request the encryption algorithm used for the ticket and session key This information is critical for detecting scenarios where RC4 is still being implicitly used, enabling operations teams to plan remediation ahead of the enforcement phase. If these events are not being logged on Domain Controllers, it is necessary to verify whether Kerberos auditing is properly enabled. For Kerberos authentication events to be recorded in the Security Log, the corresponding audit policies must be configured. The minimum recommended configuration is to enable Success auditing for the following subcategories: Kerberos Authentication Service Kerberos Service Ticket Operations Verification can be performed directly on a Domain Controller using the following commands: auditpol /get /subcategory:"Kerberos Service Ticket Operations" auditpol /get /subcategory:"Kerberos Authentication Service" In enterprise environments, the recommended approach is to apply this configuration via Group Policy, ensuring consistency across all Domain Controllers. The corresponding policy can be found at: Computer Configuration - Policies - Windows Settings - Security Settings - Advanced Audit Policy Configuration - Audit Policies - Account Logon Once enabled, these audits record events 4768 and 4769 in the Domain Controllers’ Security Log, allowing analysis tools—such as inventory scripts or SIEM/Log Analytics queries—to accurately identify where RC4 is still present in the Kerberos authentication flow. April 2026 – Enforcement with Manual Rollback With the April 2026 update, the KDC begins operating in AES-only mode (0x18) when the msDS-SupportedEncryptionTypes attribute is not defined. This means RC4 is no longer accepted as an implicit fallback. During this phase, applications, accounts, or computers that still implicitly depend on RC4 may start failing. Manual rollback remains possible via explicit configuration of the attribute in Active Directory. July 2026 – Final Enforcement Starting in July 2026, audit mode and rollback options are removed. RC4 will only function if explicitly configured—a practice that is strongly discouraged. This represents the point of no return in the hardening process. Official Monitoring Approach Microsoft provides official scripts in the repository: https://github.com/microsoft/Kerberos-Crypto/tree/main/scripts The two primary scripts used in this analysis are: Get-KerbEncryptionUsage.ps1 The Get-KerbEncryptionUsage.ps1 script, provided by Microsoft in the Kerberos‑Crypto repository, is designed to identify how Kerberos tickets are issued in the environment by analyzing authentication events recorded on Domain Controllers. Data collection is primarily based on: Event ID 4768 – Kerberos Authentication Service (AS‑REQ / TGT issuance) Event ID 4769 – Kerberos Service Ticket Operations (TGS issuance) From these events, the script extracts and consolidates several relevant fields for authentication flow analysis: Time – when the authentication occurred Requestor – IP address or host that initiated the request Source – account that requested the ticket Target – requested service or SPN Type – operation type (AS or TGS) Ticket – algorithm used to encrypt the ticket SessionKey – algorithm used to protect the session key Based on these fields, it becomes possible to objectively identify which algorithms are being used in the environment, both for ticket issuance and session establishment. This visibility is essential for detecting RC4 dependencies in the Kerberos authentication flow, enabling precise identification of which clients, services, or accounts still rely on this legacy algorithm. Example usage: .\Get-KerbEncryptionUsage.ps1 -Encryption RC4 -Searchscope AllKdcs | Export-Csv -Path .\KerbUsage_RC4_All_ThisDC.csv -NoTypeInformation -Encoding UTF8 Data Consolidation and Analysis In enterprise environments, where event volumes may be high, it is recommended to consolidate script results into analytical tools such as Power BI to facilitate visualization and investigation. The presented image illustrates an example dashboard built from collected results, enabling visibility into: Total events analyzed Number of Domain Controllers involved Number of requesting clients (Requestors) Most frequently involved services or SPNs (Targets) Temporal distribution of events RC4 usage scenarios (Ticket, SessionKey, or both) This type of visualization enables rapid identification of RC4 usage patterns, remediation prioritization, and progress tracking as dependencies are eliminated. Additionally, dashboards help answer key operational questions, such as: Which services still depend on RC4 Which clients are negotiating RC4 for sessions Which Domain Controllers are issuing these tickets Whether RC4 usage is decreasing over time This combined automated collection + analytical visualization approach is the recommended strategy to prepare environments for the Microsoft changes related to CVE‑2026‑20833 and the progressive removal of RC4 in Kerberos. Visualizing Results with Power BI To facilitate analysis and monitoring of RC4 usage in Kerberos, it is recommended to consolidate script results into a Power BI analytical dashboard. 1. Install Power BI Desktop Download and install Power BI Desktop from the official Microsoft website 2. Execute data collection After running the Get-KerbEncryptionUsage.ps1 script, save the generated CSV file to the following directory: C:\Temp\Kerberos_KDC_usage_of_RC4_Logs\KerbEncryptionUsage_RC4.csv 3. Open the dashboard in Power BI Open the file RC4-KerbEncryptionUsage-Dashboards.pbix using Power BI Desktop. If you are interested, please leave a comment on this post with your email address, and I will be happy to share with you. 4. Update the data source If the CSV file is located in a different directory, it will be necessary to adjust the data source path in Power BI. As illustrated, the dashboard uses a parameter named CsvFilePath, which defines the path to the collected CSV file. To adjust it: Open Transform Data in Power BI. Locate the CsvFilePath parameter in the list of Queries. Update the value to the directory where the CSV file was saved. Click Refresh Preview or Refresh to update the data. Click Home → Close & Apply. This approach allows rapid identification of RC4 dependencies, prioritization of remediation actions, and tracking of progress throughout the elimination process. List-AccountKeys.ps1 This script is used to identify which long-term keys are present on user, computer, and service accounts, enabling verification of whether RC4 is still required or whether AES128/AES256 keys are already available. Interpreting Observed Scenarios Microsoft recommends analyzing RC4 usage by jointly considering two key fields present in Kerberos events: Ticket Encryption Type Session Encryption Type Each combination represents a distinct Kerberos behavior, indicating the source of the issue, risk level, and remediation point in the environment. In addition to events 4768 and 4769, updates released starting January 13, 2026, introduce new Kdcsvc events in the System Event Log that assist in identifying RC4 dependencies ahead of enforcement. These events include: Event ID 201 – RC4 usage detected because the client advertises only RC4 and the service does not have msDS-SupportedEncryptionTypes defined. Event ID 202 – RC4 usage detected because the service account does not have AES keys and the msDS-SupportedEncryptionTypes attribute is not defined. Event ID 203 – RC4 usage blocked (enforcement phase) because the client advertises only RC4 and the service does not have msDS-SupportedEncryptionTypes defined. Event ID 204 – RC4 usage blocked (enforcement phase) because the service account does not have AES keys and msDS-SupportedEncryptionTypes is not defined. Event ID 205 – Detection of explicit enablement of insecure algorithms (such as RC4) in the domain policy DefaultDomainSupportedEncTypes. Event ID 206 – RC4 usage detected because the service accepts only AES, but the client does not advertise AES support. Event ID 207 – RC4 usage detected because the service is configured for AES, but the service account does not have AES keys. Event ID 208 – RC4 usage blocked (enforcement phase) because the service accepts only AES and the client does not advertise AES support. Event ID 209 – RC4 usage blocked (enforcement phase) because the service accepts only AES, but the service account does not have AES keys. https://support.microsoft.com/en-gb/topic/how-to-manage-kerberos-kdc-usage-of-rc4-for-service-account-ticket-issuance-changes-related-to-cve-2026-20833-1ebcda33-720a-4da8-93c1-b0496e1910dc They indicate situations where RC4 usage will be blocked in future phases, allowing early detection of configuration issues in clients, services, or accounts. These events are logged under: Log: System Source: Kdcsvc Below are the primary scenarios observed during the analysis of Kerberos authentication behavior, highlighting how RC4 usage manifests across different ticket and session encryption combinations. Each scenario represents a distinct risk profile and indicates specific remediation actions required to ensure compliance with the upcoming enforcement phases. Scenario A – RC4 / RC4 In this scenario, both the Kerberos ticket and the session key are issued using RC4. This is the worst possible scenario from a security and compatibility perspective, as it indicates full and explicit dependence on RC4 in the authentication flow. This condition significantly increases exposure to Kerberoasting attacks, since RC4‑encrypted tickets can be subjected to offline brute-force attacks to recover service account passwords. In addition, environments remaining in this state have a high probability of authentication failure after the April 2026 updates, when RC4 will no longer be accepted as an implicit fallback by the KDC. Events Associated with This Scenario During the Audit Phase, this scenario is typically associated with: Event ID 201 – Kdcsvc Indicates that: the client advertises only RC4 the service does not have msDS-SupportedEncryptionTypes defined the Domain Controller does not have DefaultDomainSupportedEncTypes defined This means RC4 is being used implicitly. This event indicates that the authentication will fail during the enforcement phase. Event ID 202 – Kdcsvc Indicates that: the service account does not have AES keys the service does not have msDS-SupportedEncryptionTypes defined This typically occurs when: legacy accounts have never had their passwords reset only RC4 keys exist in Active Directory Possible Causes Common causes include: the originating client (Requestor) advertises only RC4 the target service (Target) is not explicitly configured to support AES the account has only legacy RC4 keys the msDS-SupportedEncryptionTypes attribute is not defined Recommended Actions To remediate this scenario: Correctly identify the object involved in the authentication flow, typically: a service account (SPN) a computer account or a Domain Controller computer object Verify whether the object has AES keys available using analysis tools or scripts such as List-AccountKeys.ps1. If AES keys are not present, reset the account password, forcing generation of modern cryptographic keys (AES128 and AES256). Explicitly define the msDS-SupportedEncryptionTypes attribute to enable AES support. Recommended value for modern environments: 0x18 (AES128 + AES256) = 24 As illustrated below, this configuration can be applied directly to the msDS-SupportedEncryptionTypes attribute in Active Directory. AES can also be enabled via Active Directory Users and Computers by explicitly selecting: This account supports Kerberos AES 128 bit encryption This account supports Kerberos AES 256 bit encryption These options ensure that new Kerberos tickets are issued using AES algorithms instead of RC4. Temporary RC4 Usage (Controlled Rollback) In transitional scenarios—during migration or troubleshooting—it may be acceptable to temporarily use: 0x1C (RC4 + AES) = 28 This configuration allows the object to accept both RC4 and AES simultaneously, functioning as a controlled rollback while legacy dependencies are identified and corrected. However, the final objective must be to fully eliminate RC4 before the final enforcement phase in July 2026, ensuring the environment operates exclusively with AES128 and AES256. Scenario B – AES / RC4 In this case, the ticket is protected with AES, but the session is still negotiated using RC4. This typically indicates a client limitation, legacy configuration, or restricted advertisement of supported algorithms. Events Associated with This Scenario During the Audit Phase, this scenario may generate: Event ID 206 Indicates that: the service accepts only AES the client does not advertise AES in the Advertised Etypes In this case, the client is the issue. Recommended Action Investigate the Requestor Validate operating system, client type, and advertised algorithms Review legacy GPOs, hardening configurations, or settings that still force RC4 For Linux clients or third‑party applications, review krb5.conf, keytabs, and Kerberos libraries Scenario C – RC4 / AES Here, the session already uses AES, but the ticket is still issued using RC4. This indicates an implicit RC4 dependency on the Target or KDC side, and the environment may fail once enforcement begins. Events Associated with This Scenario This scenario may generate: Event ID 205 Indicates that the domain has explicit insecure algorithm configuration in: DefaultDomainSupportedEncTypes This means RC4 is explicitly allowed at the domain level. Recommended Action Correct the Target object Explicitly define msDS-SupportedEncryptionTypes with 0x18 = 24 Revalidate new ticket issuance to confirm full migration to AES / AES Conclusion CVE‑2026‑20833 represents a structural change in Kerberos behavior within Active Directory environments. Proper monitoring is essential before April 2026, and the msDS-SupportedEncryptionTypes attribute becomes the primary control point for service accounts, computer accounts, and Domain Controllers. July 2026 represents the final enforcement point, after which there will be no implicit rollback to RC4.
Purview on-demand classification to scan historical image files?
I’m working on a project to identify PII across SharePoint and OneDrive. While we can use Purview On-Demand Classification for this purpose, it does not currently support image file types, so I’m looking for an alternative way to identify PII within historical image files. My initial thought was to enable OCR and then run an On-Demand Classification scan. However, my understanding is that OCR generally applies to images added or modified after OCR is enabled, so I’m not sure whether an On-Demand Classification scan can trigger OCR processing for existing historical images. Could you please clarify the following: Can On-Demand Classification trigger OCR processing for existing image files in SharePoint and OneDrive? If not, is there another supported method to trigger OCR processing for historical images that are already stored in these locations? What would be the recommended approach for discovering and classifying PII within historical image files at scale? Thanks!
Defender XDR: Tables not supported for table management
I am trying to extend the table retention of specific tables to allow them to flow to Sentinel Analytics but keep getting the message "This table is not supported for table management" in the Sentinel > Configuration > Tables page. The Sentinel workspace is connected in System > Settings > Microsoft Sentinel. I can see the table type is XDR in the list which seems to be the reason why it can't be managed. Any ideas why this table is not able to be managed.Integrating Proofpoint and Mimecast Email Security with Microsoft Sentinel
Microsoft Sentinel can ingest rich email security telemetry from Proofpoint and Mimecast to power advanced phishing detection. The Proofpoint On Demand (POD) Email Security and Proofpoint Targeted Attack Protection (TAP) connectors pull threat logs (quarantines, spam, phishing attempts) and user click data into Sentinel. Similarly, the Mimecast Secure Email Gateway connector ingests detailed mail flow and targeted-threat logs (attachment/URL scans, impersonation events). These integrations use Azure-hosted ingestion (via Logic Apps or Azure Functions) and the new Codeless Connector framework to call vendor APIs on a schedule. The result is a consolidated dataset in Sentinel’s Log Analytics, enabling correlated alerting and hunting across email, identity, and endpoint signals. Figure: Phishing emails are processed by Mimecast’s gateway and Proofpoint POD/TAP services. Security logs (delivery/quarantine events, malicious attachments/links, user clicks) flow into Microsoft Sentinel. In Sentinel, these mail signals are correlated with identity (Azure AD), endpoint (Defender) and network telemetry for end-to-end phishing detection. Proofpoint POD (Email Protection) Connector The Proofpoint POD connector ingests core email protection logs. It creates two tables, ProofpointPODMailLog_CL and ProofpointPODMessage_CL. These logs include per-message metadata (senders, recipients, subject, message size, timestamps), threat scores (spamScore, phishScore, malwareScore, impostorScore), and attachment details (number of attachments, names, hash values and sandbox verdicts). Quarantine actions are recorded (quarantine folder/rule) and malicious indicators (URL or file hash) and campaign IDs are tagged in the threatsInfoMap field. For example, each ProofpointPODMessage_CL record may carry a sender_s (sender email domain hashed), recipient list, subject, and any detected threat type (Phish/Malware/Spam/Impostor) with associated threat hash or URL. Deployment: Proofpoint POD uses Sentinel’s codeless connector (an Azure Function behind the scenes). You must provide Proofpoint API credentials (Cluster ID and API token) in the connector UI. The connector periodically calls the Proofpoint SIEM API to fetch new log events (typically in 1–2 hour batches). The data lands in the above tables. (Older custom logic-app approaches similarly parse JSON output from the /v2/siem/messages endpoints.) Proofpoint TAP (Targeted Attack Protection) Connector Proofpoint TAP provides user-click and message-delivery events. Its connector creates four tables: ProofPointTAPMessagesDeliveredV2_CL, ProofPointTAPMessagesBlockedV2_CL, ProofPointTAPClicksPermittedV2_CL, and ProofPointTAPClicksBlockedV2_CL. The message tables report emails with detected threats (URL or attachment defense) that were delivered or blocked by TAP. They include the same fields as POD (message GUID, sender, recipients, subject, threat campaign ID, scores, attachments info). The click tables log when users click on URLs: each record has the URL, click timestamp (clickTime), the user’s IP (clickIP), user-agent, the message GUID, and the threat ID/category. These fields allow you to see who clicked which malicious link and when. As the connector description notes, these logs give “visibility into Message and Click events in Microsoft Sentinel” for hunting. Deployment: The TAP connector also uses the codeless framework. You supply a TAP API service principal and secret (proofpoint SIEM API credentials) in the Sentinel content connector. The function app calls TAP’s /v2/siem/clicks/blocked, /permitted, /messages/blocked, and /delivered endpoints. The Proofpoint SIEM API limits queries to 1-hour windows and 7-day history, with no paging (all events in the interval are returned). (A Logic App approach could also be used, as shown in the Tech Community blog: one HTTP GET per event type and a JSON Parse before sending to Log Analytics.) Mimecast Secure Email Gateway Connector The Mimecast connector ingests the Secure Email Gateway (SEG) logs and targeted-threat (TTP) logs. Inbound, outbound and internal mail events from the Mimecast MTA (receipt, processing, delivery stages) are pulled via the API. Typical fields include the unique message ID (aCode), sender, recipient, subject, attachment count/names, and the policy actions or holds (e.g. spam quarantine). For example, the Mimecast “Process” log shows AttCnt, AttNames, and if the message was held (Hld) for review. Delivery logs include the success/failure and TLS details. In addition, Mimecast TTP logs are collected: URL Protect logs (when a user clicks a blocked URL) include the clicked URL (url), category (urlCategory), sender/recipient, and block reason. Impersonation Protect logs capture spoofing detections (e.g. if an internal name is impersonated), with fields like Sender, Recipient, Definition and Action (hold/quarantine). Attachment Protect logs record malicious file detections (filename, hash, threat type). Deployment: Like Proofpoint, Mimecast’s connector uses Azure Functions via the Sentinel content hub. You install the Mimecast solution, open the connector page, then enter Azure app credentials and Mimecast API keys (API Application ID/Key and Access/Secret for the service account). As shown in the deployment guide, you must provide the Azure Subscription, Resource Group, Log Analytics Workspace and the Azure Client (App) ID, Tenant ID and Object ID of the admin performing the setup. On the Mimecast side, you supply the API Base URL (regional), App ID/Secret and user Access/Secret. The connector creates a Function App that polls Mimecast’s SIEM APIs on a cron schedule (default every 30 minutes). You can optionally specify a start date for backfilling up to 7 days of logs. The default tables are MimecastSIEM_CL (for email flow logs) and MimecastDLP_CL (for DLP/TTP events), though custom names can be set. Ingestion Considerations Data Latency: All these connectors are pull-based and typically run on a schedule (often 30–60 minutes). For example, the Proofpoint POD docs note hourly log increments, and Mimecast logs are aggregated every 30 minutes. Expect a delay of up to an hour or more from event occurrence to Sentinel ingestion. Schema Nuances: The APIs often return nested arrays and optional fields. For instance, the Proofpoint blog warns that some JSON fields can be null or vary in type, so the parse schema should account for all possibilities. Similarly, Mimecast logs come in pipe-delimited or JSON format, with values sometimes empty (e.g. no attachments). In KQL, use tostring() or parse_json() on the raw _CL columns, and mv-expand on any multivalue fields (like message parts or threat lists). Table Names: Use the connector’s tables as listed. For Proofpoint: ProofpointPODMailLog_CL and ProofpointPODMessage_CL; for TAP: ProofPointTAPMessagesDeliveredV2_CL, ProofPointTAPMessagesBlockedV2_CL, ProofPointTAPClicksPermittedV2_CL, ProofPointTAPClicksBlockedV2_CL. For Mimecast SEG/TTP: MimecastSIEM_CL (seg logs) and MimecastDLP_CL (TTP logs). API Behavior: The Proofpoint TAP API has no paging. Be aware of timezones (Proofpoint uses UTC) and use the Sentinal ingestion TimeGenerated or event timestamp fields for binning. Detection Engineering and Correlation To detect phishing effectively, we correlate these email logs with identity, endpoint and intel data: Identity (Azure AD): Mail logs contain recipient addresses and (hashed) sender user parts. A common tactic is to correlate SMTP recipients or sender domains with Azure AD user records. For example, join TAP clicks by recipient to the user’s UPN. The Proofpoint logs also include the clicker’s IP (clickIP); we can match that to Azure AD sign-in logs or VPN logs to find which device/location clicked a malicious link. Likewise, anomalous Azure AD sign-ins (impossible travel, MFA failure) after a suspicious email can strengthen the case. Endpoints (Defender): Once a user clicks a bad link or opens a malicious attachment (captured in TAP or Mimecast logs), watch for follow-on behaviors. For instance, use Sentinel’s DeviceSecurityEvents or DeviceProcessEvents to see if that user’s machine launched unusual processes. The threatID or URL hash from email events can be looked up in Defender’s file data. Correlate by username (if available) or IP: if the email log shows a link click from IP X, see if any endpoint alerts or logon events occurred from X around the same time. As the Mimecast integration touts, this enables “correlation across Mimecast events, cloud, endpoint, and network data”. Threat Intelligence: Use Sentinel’s ThreatIntelligenceIndicator tables or Microsoft’s TI feeds to tag known bad URLs/domains in the email logs. For example, join ProofPointTAPClicksBlockedV2_CL on the clicked url against ThreatIntelligenceIndicator (type=URL) to automatically flag hits. Proofpoint’s logs already classify threats (malware/phish) and provide a threatID; one can enrich that with external intel (e.g. check if the hash appears in TI feeds). Mimecast’s URL logs include a urlCategory field, which can be mapped to known malicious categories. Automated playbooks can also pull Intel: e.g. use Sentinel’s TI REST API or Azure Sentinel watchlists containing phishing domains to annotate events. In summary, a robust detection strategy might look like: (1) Identify malicious email events (high phish scores, quarantines, URL clicks). (2) Correlate these events by user with Azure AD logs (did the user log in from a new IP after a phish click?). (3) Correlate with endpoint alerts (Defender found malware on that device). (4) Augment with threat intelligence lookups on URLs and attachments from the email logs. By linking the Proofpoint/Mimecast signals to identity and endpoint events, one can detect the full attack chain from email compromise to endpoint breach. KQL Query Here are representative Kusto queries for common phishing scenarios (adapt table/field names as needed): Malicious URL Click Detection: Identify users who clicked known-malicious URLs. For example, join TAP click logs to TI indicators:This flags any permitted click where the URL matches a known threat indicator. Alternatively, aggregate by domain: let TI = ThreatIntelligenceIndicator | where Active == true and _EntityType == "URL"; ProofPointTAPClicksPermittedV2_CL | where url_s != "" | project ClickTime=TimeGenerated, Recipient=recipient_s, URL=url_s, SenderIP=senderIP_s | join kind=inner TI on $left.URL == TI._Value | project ClickTime, Recipient, URL, Description=TI.Description This flags any permitted click where the URL matches a known threat indicator. Alternatively, aggregate by domain: ProofPointTAPClicksPermittedV2_CL | extend clickedDomain = extract(@"https?://([^/]+)", 1, url_s) | summarize ClickCount=count() by clickedDomain | where clickedDomain has "maliciousdomain.com" or clickedDomain has "phish.example.com" Quarantine Spike (Burst) Detection: Detect sudden spikes in quarantined messages. For example, using POD mail log:This finds hours with an unusually high number of held (quarantined) emails, which may indicate a phishing campaign. You could similarly use ProofPointTAPMessagesBlockedV2_CL. ProofpointPODMailLog_CL | where action_s == "Held" | summarize HeldCount=count() by bin(TimeGenerated, 1h) | order by TimeGenerated desc | where HeldCount > 100 Targeted User Phishing: Find if a specific user received multiple malicious emails. E.g., for user email address removed for privacy reasons:This lists recent phish attempts targeting Username. You might also join with TAP click logs to see if she clicked anything. ProofpointPODMessage_CL | where recipient has "email address removed for privacy reasons" | where array_length(threatsInfoMap) > 0 and threatsInfoMap_classification_s == "Phish" | project TimeGenerated, sender_s, subject_s, threat=threatsInfoMap_threat_s Campaign-Level Analysis: Group emails by Proofpoint campaign ID to see scope of each campaign:This shows each campaign ID with how many unique recipients were hit and one example subject. Combining TAP and POD tables on GUID_s or QID_s can further link click events back to the originating message/campaign. ProofpointPODMessage_CL | mv-expand threatsInfoMap | summarize Recipients=make_set(recipient), Count=dcount(recipient) by CampaignID=threatsInfoMap_campaignId_s | project CampaignID, RecipientCount=Count, Recipients, SampleSubject=any(subject_s) Each query can be refined (for instance, filtering only within a recent time window) and embedded in Sentinel Analytics rules or hunting. The key is using the connectors’ fields – URLs, sender/recipient addresses, campaign IDs – to pivot between email data and other security signals.
'Software inventory - Evidence Last found' force refresh
Seeing a number of devices that have updated date/time in ‘Network activity - Last Seen’ but ‘Software inventory - Evidence Last found’ is several weeks old. Aware of ‘Advanced Hunting’ workaround. Is it possible to run a PowerShell script on a device to force a ‘Software inventory - Evidence Last found’?
Purview endpoint DLP cant block file upload to web.whatsapp on open in app mode chrome browser MacOS
we are using purview endpoint DLP to block file upload to web.whatsapp.com on browser for MacOS. its working fine on chrome browser when i try dirrectly upload file contain ssn pattern and its blocked by purview but if we upload using open in app mode (pwa) purview cant detect that activity and file is uploaded to web whatsapp susscessfully. try to upload senstive file to web.whatsapp.com from chrome browser and its blocked. but when i try to use "open in app" mode (pwa) dlp purview cant detect the sensitive upload to web.whatsapp.com how to detect and block file uploaded to unwanted url if user using pwa especially on chrome browser? try the same scenario on edge, purview able to detect pwa and can intercept the activity but why in chrome its not the same behaviour expected.Windows Forwarded Events connector with Windows Security Events NRT rules
Hello, We are testing Microsoft Sentinel using the official Windows Forwarded Events connector. Environment - Windows Server WEC - Windows Event Forwarding - Azure Arc - Azure Monitor Agent - Windows Forwarded Events connector Everything works correctly. Forwarded security events are successfully ingested into the WindowsEvent table. For example: - Event ID 1102 - Event ID 4732 However, the built-in Windows Security Events NRT Analytics Rules (Content Hub version 1.0.1) query only the SecurityEvent table. Example: NRT Security Event log cleared SecurityEvent | where EventID == 1102 As a result, forwarded events received through the Windows Forwarded Events connector never trigger these NRT rules. Question: Is this expected behavior? Should Windows Forwarded Events customers use a different set of analytics rules (ASIM or other templates), or should these built-in NRT rules also support WindowsEvent? Thank you.An Entra app credential is expiring. Which workload still uses it?
A credential rotation ticket often starts with three things: an application name, an expiry date and a deadline. That is enough to know something must happen, but not enough to rotate safely. Before touching the credential, I want to know whether that exact key is still requesting tokens, which resources it accesses and where those requests appear to come from. If Microsoft Entra sign-in logs are already connected to Log Analytics or Microsoft Sentinel, KQL can answer most of that without changing anything in the tenant. This is the workflow I use. What needs to be in the workspace The important diagnostic category is ServicePrincipalSignInLogs. In Log Analytics it becomes the AADServicePrincipalSignInLogs table. Normal SigninLogs are for interactive user sign-ins and are not the right data source for an app authenticating with its own secret or certificate. The diagnostic setting is configured under: Microsoft Entra ID > Monitoring & health > Diagnostic settings Make sure ServicePrincipalSignInLogs is being sent to the workspace you are querying. Microsoft documents the available log categories and their purpose here: https://learn.microsoft.com/en-us/entra/identity/monitoring-health/concept-diagnostic-settings-logs-options From the Entra recommendation or the affected application, copy the Application (client) ID. Do not confuse it with the application object ID or the service principal object ID. In the Kusto table: AppId is the Application (client) ID. ServicePrincipalId is the object ID of the service principal in the tenant. ServicePrincipalCredentialKeyId identifies the secret or certificate key used for the token request. ServicePrincipalCredentialThumbprint can help identify a certificate. ResourceDisplayName and ResourceServicePrincipalId identify the target resource. Those fields are part of the documented AADServicePrincipalSignInLogs schema: https://learn.microsoft.com/en-us/azure/azure-monitor/reference/tables/aadserviceprincipalsigninlogs Step 1: See every credential recently used by the application Replace TargetAppId with the Application (client) ID from Entra: let Lookback = 30d; let TargetAppId = "00000000-0000-0000-0000-000000000000"; AADServicePrincipalSignInLogs | where TimeGenerated >= ago(Lookback) | extend SignInTime = coalesce(CreatedDateTime, TimeGenerated) | where SignInTime >= ago(Lookback) | where AppId =~ TargetAppId | extend SignInSucceeded = tostring(ResultType) == "0" | summarize FirstSeen = min(SignInTime), LastSeen = max(SignInTime), Attempts = count(), SuccessfulSignIns = countif(SignInSucceeded), FailedSignIns = countif(SignInSucceeded == false), CredentialTypes = make_set(ClientCredentialType, 10), SourceIPs = make_set(IPAddress, 20), UserAgents = make_set(UserAgent, 10), TargetResources = make_set( strcat(ResourceDisplayName, " [", ResourceServicePrincipalId, "]"), 20 ) by AppId, ServicePrincipalId, ServicePrincipalName, ServicePrincipalCredentialKeyId, ServicePrincipalCredentialThumbprint, FederatedCredentialId | order by LastSeen desc This gives me a short usage map for the application. If the expiring credential's key ID appears in the result, that exact credential was used for at least one recorded token request during the selected lookback period. The target resources show what it requested a token for. Source IPs and user agents usually help narrow down the workload. They are clues, not host identification. A source IP might be a NAT gateway, proxy or shared outbound address, and user-agent strings are neither guaranteed nor trustworthy. I use them to narrow the search in deployment settings, automation jobs, Key Vault references and CI/CD configuration, not as final proof of where the workload runs. Rows with a populated FederatedCredentialId represent workload identity federation. They should not be mistaken for use of the expiring secret or certificate. Step 2: Inspect the exact credential Once the expiring key ID is known, this query shows the individual sign-in records for that key: let Lookback = 30d; let TargetAppId = "00000000-0000-0000-0000-000000000000"; let ExpiringCredentialKeyId = "11111111-1111-1111-1111-111111111111"; AADServicePrincipalSignInLogs | where TimeGenerated >= ago(Lookback) | extend SignInTime = coalesce(CreatedDateTime, TimeGenerated) | where SignInTime >= ago(Lookback) | where AppId =~ TargetAppId | where ServicePrincipalCredentialKeyId =~ ExpiringCredentialKeyId | extend Result = iff(tostring(ResultType) == "0", "Success", "Failure") | project SignInTime, Result, ResultType, ResultDescription, ServicePrincipalName, ServicePrincipalId, ClientCredentialType, ServicePrincipalCredentialKeyId, ServicePrincipalCredentialThumbprint, IPAddress, UserAgent, ResourceDisplayName, ResourceServicePrincipalId, CorrelationId | order by SignInTime desc A successful row is direct evidence that Entra accepted that credential for a token request at that time. Repeated failures can also be useful: they might show an incomplete rotation, an expired credential that is still configured somewhere, or a forgotten workload that keeps retrying. No rows do not mean "safe to delete." They only mean that no matching event exists in the data currently available to this workspace for the selected period. The workload might run monthly, the event might be outside retention, the diagnostic category might have been enabled recently, or the relevant logs might be routed elsewhere. The table also does not contain the application's business owner. I confirm ownership on the application or enterprise application in Entra, or enrich the result from an existing CMDB or Sentinel watchlist. I would not invent an owner from the last source IP or from whoever originally created the app. Step 3: Prove the replacement is actually in use After adding the replacement credential and updating the workload, I use the cutover time plus the old and new key IDs to verify the change: let CutoverTime = datetime(2026-08-26T12:00:00Z); let TargetAppId = "00000000-0000-0000-0000-000000000000"; let OldCredentialKeyId = "11111111-1111-1111-1111-111111111111"; let NewCredentialKeyId = "22222222-2222-2222-2222-222222222222"; AADServicePrincipalSignInLogs | where TimeGenerated >= CutoverTime | extend SignInTime = coalesce(CreatedDateTime, TimeGenerated) | where SignInTime >= CutoverTime | where AppId =~ TargetAppId | where ServicePrincipalCredentialKeyId in~ (OldCredentialKeyId, NewCredentialKeyId) | extend Credential = case( ServicePrincipalCredentialKeyId =~ OldCredentialKeyId, "old", ServicePrincipalCredentialKeyId =~ NewCredentialKeyId, "new", "other" ) | where Credential != "other" | summarize FirstSeen = min(SignInTime), LastSeen = max(SignInTime), Attempts = count(), SuccessfulSignIns = countif(tostring(ResultType) == "0"), FailedSignIns = countif(tostring(ResultType) != "0"), SourceIPs = make_set(IPAddress, 20), TargetResources = make_set(ResourceDisplayName, 20) by Credential, ServicePrincipalCredentialKeyId | order by LastSeen desc Before I remove the old credential, I want to see a successful token request with the new key ID after the cutover. I also run a real operation against the intended resource. A generic process health check is not enough if it never exercises the dependency that uses Entra authentication. Continued sign-ins with the old key after the cutover are a clear sign that another instance, deployment slot or workload still has the old value. An absence of old-key sign-ins becomes meaningful only after the expected workload schedule has been covered and the logs have arrived in the workspace. One final trap is token caching. Service principal sign-in logs show token requests, not every API call made with a token. Removing the old client credential prevents it from obtaining new tokens, but an access token already issued by Microsoft Entra normally remains valid until it expires. The rotation test must therefore force the workload to acquire a fresh token. Access token documentation: https://learn.microsoft.com/en-us/entra/identity-platform/access-tokens My rotation order is simple: Identify the exact old credential and the workload using it. Add the replacement while the old credential is still valid. Deploy the new credential to the workload's secret store. Force a fresh token request and execute a real operation. Confirm the new key ID in AADServicePrincipalSignInLogs. Watch for unexpected use of the old key for an appropriate period. Remove the old credential after the evidence and rollback window are sufficient for that workload. Microsoft Entra's preview recommendations for expiring application credentials and expiring service principal credentials are useful starting points. For me, the KQL correlation is the part that turns the warning into a controlled change instead of a blind rotation. Recommendation documentation: https://learn.microsoft.com/en-us/entra/identity/monitoring-health/recommendation-renew-expiring-application-credential https://learn.microsoft.com/en-us/entra/identity/monitoring-health/recommendation-renew-expiring-service-principal-credential How are you carrying application ownership into Sentinel? A maintained watchlist works, but it can easily become just another stale inventory.Your Sentinel AMA Logs & Queries Are Public by Default - AMPLS Architectures to Fix That
When you deploy Microsoft Sentinel, security log ingestion travels over public Azure Data Collection Endpoints by default. The connection is encrypted, and the data arrives correctly — but the endpoint is publicly reachable, and so is the workspace itself, queryable from any browser on any network. For many organisations, that trade-off is fine. For others — regulated industries, healthcare, financial services, critical infrastructure — it is the exact problem they need to solve. Azure Monitor Private Link Scope (AMPLS) is how you solve it. What AMPLS Actually Does AMPLS is a single Azure resource that wraps your monitoring pipeline and controls two settings: Where logs are allowed to go (ingestion mode: Open or PrivateOnly) Where analysts are allowed to query from (query mode: Open or PrivateOnly) Change those two settings and you fundamentally change the security posture — not as a policy recommendation, but as a hard platform enforcement. Set ingestion to PrivateOnly and the public endpoint stops working. It does not fall back gracefully. It returns an error. That is the point. It is not a firewall rule someone can bypass or a policy someone can override. Control is baked in at the infrastructure level. Three Patterns — One Spectrum There is no universally correct answer. The right architecture depends on your organisation's risk appetite, existing network infrastructure, and how much operational complexity your team can realistically manage. These three patterns cover the full range: Architecture 1 — Open / Public (Basic) No AMPLS. Logs travel to public Data Collection Endpoints over the internet. The workspace is open to queries from anywhere. This is the default — operational in minutes with zero network setup. Cloud service connectors (Microsoft 365, Defender, third-party) work immediately because they are server-side/API/Graph pulls and are unaffected by AMPLS. Azure Monitor Agents and Azure Arc agents handle ingestion from cloud or on-prem machines via public network. Simplicity: 9/10 | Security: 6/10 Good for: Dev environments, teams getting started, low-sensitivity workloads Architecture 2 — Hybrid: Private Ingestion, Open Queries (Recommended for most) AMPLS is in place. Ingestion is locked to PrivateOnly — logs from virtual machines travel through a Private Endpoint inside your own network, never touching a public route. On-premises or hybrid machines connect through Azure Arc over VPN or a dedicated circuit and feed into the same private pipeline. Query access stays open, so analysts can work from anywhere without needing a VPN/Jumpbox to reach the Sentinel portal — the investigation workflow stays flexible, but the log ingestion path is fully ring-fenced. You can also split ingestion mode per DCE if you need some sources public and some private. This is the architecture most organisations land on as their steady state. Simplicity: 6/10 | Security: 8/10 Good for: Organisations with mixed cloud and on-premises estates that need private ingestion without restricting analyst access Architecture 3 — Fully Private (Maximum Control) Infrastructure is essentially identical to Architecture 2 — AMPLS, Private Endpoints, Private DNS zones, VPN or dedicated circuit, Azure Arc for on-premises machines. The single difference: query mode is also set to PrivateOnly. Analysts can only reach Sentinel from inside the private network. VPN or Jumpbox required to access the portal. Both the pipe that carries logs in and the channel analysts use to read them are fully contained within the defined boundary. This is the right choice when your organisation needs to demonstrate — not just claim — that security data never moves outside a defined network perimeter. Simplicity: 2/10 | Security: 10/10 Good for: Organisations with strict data boundary requirements (regulated industries, audit, compliance mandates) Quick Reference — Which Pattern Fits? Scenario Architecture Getting started / low-sensitivity workloads Arch 1 — No network setup, public endpoints accepted Private log ingestion, analysts work anywhere Arch 2 — AMPLS PrivateOnly ingestion, query mode open Both ingestion and queries must be fully private Arch 3 — Same as Arch 2 + query mode set to PrivateOnly One thing all three share: Microsoft 365, Entra ID, and Defender connectors work in every pattern — they are server-side pulls by Sentinel and are not affected by your network posture. Please feel free to reach out if you have any questions regarding the information provided.WDSI Submission Review Has Been Pending for 10 Days
I submitted the application I developed to WDSI for review because the Microsoft Defender SmartScreen warning appears when running it. I would like the application to be added to the virus database so that this warning no longer appears, but the review has still not been completed after 10 days. Could you please help me? Submission ID: 61955163-f60b-4141-aafa-cd4afe171996 Link: https://www.microsoft.com/en-us/wdsi/submission/61955163-f60b-4141-aafa-cd4afe171996
EnableConvertWarnToBlock will not enable - stays False
We have a GPO applied to Windows 11 Pro machine - fully patched and onboarded to MDE. The GPO enables "EnableConvertWarnToBlock" as follows: The GPO is applied to the machine and the following registry key is populated: But when I check the status on the client - it will not enable: I have enabled troubleshooting mode and disabled tamper protection in case this is blocking but nothing seems to work. Its as if MDAV/MDE is not even looking/reading that registry key. Anyone else have the same issue or ideas on resolution?
Entra Connect 2.6.84.0 displays error when trying to configure containers
I installed Entra Connect 2.6.84.0 on a fresh install of Windows Server 2025 and get an error message when trying to configure the containers of the local AD: (after pressing the button Containers... you need to enter a AD user and password, afterwards the below error message is displayed) Microsoft support could not help and recommended to use the configuration wizard to filter OUs. This works for me, but I still wonder if anyone else had this error?Warning: PIM disconnects users from Teams Mobile
I have been working with Microsoft Support on this issue for three months. Hopefully I can save others the trouble. Sometime around April 2024, I and my colleagues started seeing regular alerts on our mobile devices saying "Open Teams to continue receiving notifications for <email address>", or "<email address> needs to sign in to see notifications". Just as promised, after this message appears, we do not get notified about messages and Teams calls do not ring on our mobile devices until we open Teams. We eventually determined that these alerts coincided with activating or deactivating PIM roles. Apparently, a change was made to Privileged Identity Management in Microsoft Entra ID around that time whereby users' tokens are invalidated when a role is activated or deactivated. Quoting the Microsoft Support rep: "When a user's role changes (either due to activation or expiration), Skype AAD[?] will revoke existing tokens of that users. Skype AAD will also notify PNH about that token revocation. This is expected behavior and is working as designed. These changes were rolled out in Skype AAD in April/May 2024 which is since when you are facing the issue as well." Anyway, as far as I can tell, this change was not announced or documented anywhere, so hopefully this message will show up in the search results of my fellow admins who are dealing with this.Thank you
Thank You, Microsoft Defender Team I want to express my appreciation to the Microsoft Defender team. As a user who spends a lot of time online supporting educators, families, and community partners, it is reassuring to know that web protection, phishing protection, and reputation-based security features are working behind the scenes to help keep my devices and information safe. Technology often gets noticed when something goes wrong, but today I want to recognize what is working well. Thank you for creating tools that help protect users from threats while allowing us to focus on our work. Your efforts are appreciated!
Microsoft Sentinel UEBA – AWS CloudTrail data source fails to connect with HTTP 500
Hi everyone, I am currently testing the newer UEBA capabilities in Microsoft Sentinel through the Microsoft Defender Unified SecOps portal and I am facing an issue while trying to enable AWS CloudTrail as a UEBA data source. I wanted to share the troubleshooting steps I have already completed in case anyone has seen something similar. 1. Verified AWS CloudTrail ingestion AWS CloudTrail is already connected to Microsoft Sentinel and the AWSCloudTrail table is receiving data normally. There is no issue with the AWS connector or the existing log ingestion. 2. Verified the CloudTrail data I checked the CloudTrail data specifically for the events used by UEBA. The required ConsoleLogin events are present, with: - EventSource = signin.amazonaws.com - UserIdentityPrincipalId populated for the majority of events - Other relevant identity and source information available So the source data appears to meet the documented AWS CloudTrail UEBA requirements. 3. Verified permissions The required Microsoft Entra and Azure RBAC permissions were checked. The user also has permission to perform the Sentinel UEBA settings update. Other UEBA data sources have already been enabled successfully from the same environment. 4. Checked resource locks and other settings The Sentinel workspace was checked for Azure resource locks and none were found. The UEBA anomaly detection setting is also enabled. 5. Checked the backend operation When AWS CloudTrail is selected from the UEBA settings and I try to connect it, the operation fails with: InternalServerError – HTTP 500 The Azure Activity Log shows the operation as: Microsoft.SecurityInsights/settings/write with the final status: Failed – InternalServerError (HTTP Status Code: 500) There is no AuthorizationFailed or RequestDisallowedByPolicy error. 6. Tested the API directly I also checked the current UEBA configuration through the Microsoft SecurityInsights API. The GET request works and returns the existing UEBA configuration. As an additional test, I attempted to update the same existing UEBA configuration without adding AWS CloudTrail. That update also returned HTTP 500. This makes me think the issue may not be related specifically to AWS CloudTrail or the AWS data itself, but potentially to the UEBA settings update or backend service. My questions Has anyone recently experienced UEBA settings returning HTTP 500 when updating data sources, particularly in the new Microsoft Defender/Unified SecOps portal? If anyone from the Microsoft Sentinel team can confirm whether there is a known issue or additional prerequisite for enabling AWS CloudTrail UEBA, that would be very helpful. Thanks.
Deleted labels showing pending deletion status
Hi All, We encountered an issue after deleting a sensitivity label through the Microsoft Purview portal. When we tried to recreate the same label a few hours later, a message indicated that a label with the same name still exists. We also attempted to remove it using PowerShell with the label GUID but received the error: “We cannot remove rule ‘label name’ since it is already in a pending deletion state.” Anyone comes across similar Thank youMcAfee License has Expired pop out message
We recently had a Microsoft Defender desktop getting this scam popout message. After doing a little googling we think it is caused by a change in the browser that is allowing a push notification from a specific website. My question is why didn't Defender detect this? I get that it was not malware but isn't this something Defender should be a detect and alert about?Microsoft Defender
Goodmorning: I am working with a laptop Acer Aspire 3 15 , Windows 11. Microsoft Defender worked fine until two days ago. Then it started being blocked at 91 percent instead of compliting the program at 100 percent. Please, if a person can help me in understanding what causes this problem I will be very grateful. Thanks FFBXMicrosoft Purview | Share block at external users
Hello community. I have an issue with Microsoft Purview DLP policies. I am trying to create a policy that prevents documents from being shared through OneDrive with external users, while allowing certain exceptions. However, when I select the option "Block Access to external domains and users" and assign a specific email address to be blocked, it does not work. The configured email address is not being blocked. I was reviewing this with Copilot, and it mentioned that if the external user you are sharing with already exists in Entra ID, the tenant may treat the user differently (not necessarily as an external user). My external user exists in Entra ID as a Guest account. The external user is registered as follows: Displayname: User Name Userprincipalname: user.name_external.domain#EXT#@company.onmicrosoft.com User Type: Guest Has anyone else experienced this issue? I am sharing evidence of the policy configuration.
Events
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