[Wayland] PWAs no longer appear as separate app windows — all group under main Edge icon
Hi, Since around 2025-09-07 to 2025-09-10, I’ve noticed that on GNOME (Wayland) all installed PWAs (even across different profiles) now appear grouped under the main Edge browser icon in the GNOME Shell dash/taskbar. Previously, each PWA would open in its own window group with its own icon. This is still the behavior in Chromium/Brave/Chrome, and can be restored there by editing the PWA’s .desktop file to set: StartupWMClass=<same value as Icon> However, Edge now seems to ignore StartupWMClass completely on Wayland, breaking workspace separation and making task switching hard. Environment: Ubuntu 25.04 GNOME 48.0 / Mutter (Wayland) Kernel 6.14.0-29 Intel Iris Xe GPU Edge (latest stable, observed post 2025-09-13) Repro steps: Install any PWA (e.g. Outlook, Teams, Spotify) from Edge Launch it (from any profile) Observe that it appears grouped under the main Edge browser icon Expected: PWA shows under its own icon and window group like in Chromium-based browsers Actual: All PWAs are bundled into the main Edge window group Editing StartupWMClass in the .desktop file no longer helps This regression makes PWAs much harder to manage on Wayland. Please route to the Linux/Wayland team if possible. Thanks!PWA shortcuts don't keep asociated with window - Linux
I recently upgraded to version140.0.3485.14 (Official build) beta (64-bit) and noticed that my PWA, even if they open correctly in a independent window, don't show the "running window counter" on the taskbar. So, for example, if a open Outlook, the window open and loads the app, but if a I click the icon again, it opens another window, wich is a little annoying. I tried removing the PWA from Edge, rebooting, and installing again, but didn't work. Because the only change I made is updating Edge, I think is related to this build. (too lazy to go back or install the stable release)
MS Edge - Sidebar and copilot not working on Linux Ubuntu v24 LTS
Sidebar not syncing or accepting new app additions (+). Copilot button is dead/inactive. Sidebar settings are well configured. Using the latest version of the Ubuntu OS and MS Edge. Functionality appears to be absent as product was released without full functionality....Lame!
Microsoft Intune Company Portal for Linux and Conditional Access Issue
Greetings everyone, I have the following scenario implemented regarding conditional access: Rule#1: For pilotuser1, for all cloud apps, for all platforms --> require MFA Rule#2: For pilotuser1, for all cloud apps except Microsoft Intune Enrollment and Microsoft Intune, for all platforms --> Require Device marked as compliant This should allow me to enroll to Intune successfully a non-enrolled device and require the device compliance for the other workloads. For Windows it works just fine. The problem lies with Linux. Following the instructions on Enroll a Linux device in Intune | Microsoft Learn & Get the Microsoft Intune app for Linux | Microsoft Learn I installed Intune App and Edge (Version 109.0.1518.52 (Official build) (64-bit)) on a VM with Ubuntu 22.04. I open the Intune App and try to sign in: First step is to Register the Device on Azure AD, it goes without a problem --> On the next stage I get the following and press continue: At this stage Microsoft Edge opens and I sign in successfully but the Intune App throws an error: The sign in logs on Azure AD show that even though I excluded Intune Enrollment from the CA policy, it is not enough. Sign-in error code: 530003 Failure reason: Your device is required to be managed to access this resource. Additional Details: The requested resource can only be accessed using a compliant device. The user is either using a device not managed by a Mobile-Device-Management (MDM) agent like Intune, or it's using an application that doesn't support device authentication. The user could enroll their devices with an approved MDM provider, or use a different app to sign in, or find the app vendor and ask them to update their app. More details available at https://docs.microsoft.com/azure/active-directory/active-directory-conditional-access-device-remediation Application: Microsoft Intune Company Portal for Linux Application ID: b743a22d-6705-4147-8670-d92fa515ee2b Resource : Microsoft Graph Resource ID: 00000003-0000-0000-c000-000000000000 Client app: Mobile Apps and Desktop clients Client credential type: None Resource service principal ID: 01989347-a263-48ef-a8d7-583ee83db9a2 Token issuer type: Azure AD Apparently something is different in the enrollment process of Linux because I had no issues with Windows 10 enrollment . Any thoughts on the subject would be appreciated. Kind Regards, PanosCreate Stunning AI Videos with Sora on Azure AI Foundry!
Special credit to Rory Preddy for creating the GitHub resource that enable us to learn more about Azure Sora. Reach him out on LinkedIn to say thanks. Introduction Artificial Intelligence (AI) is revolutionizing content creation, and video generation is at the forefront of this transformation. OpenAI's Sora, a groundbreaking text-to-video model, allows creators to generate high-quality videos from simple text prompts. When paired with the powerful infrastructure of Azure AI Foundry, you can harness Sora's capabilities with scalability and efficiency, whether on a local machine or a remote setup. In this blog post, I’ll walk you through the process of generating AI videos using Sora on Azure AI Foundry. We’ll cover the setup for both local and remote environments. Requirements: Azure AI Foundry with sora model access A Linux Machine/VM. Make sure that the machine already has the package below: Java JRE 17 (Recommended) OR later Maven Step Zero – Deploying the Azure Sora model on AI Foundry Navigate to the Azure AI Foundry portal and head to the “Models + Endpoints” section (found on the left side of the Azure AI Foundry portal) > Click on the “Deploy Model” button > “Deploy base model” > Search for Sora > Click on “Confirm”. Give a deployment name and specify the Deployment type > Click “Deploy” to finalize the configuration. You should receive an API endpoint and Key after successful deploying Sora on Azure AI Foundry. Store these in a safe place because we will be using them in the next steps. Step one – Setting up the Sora Video Generator in the local/remote machine. Clone the roryp/sora repository on your machine by running the command below: git clone https://github.com/roryp/sora.git cd sora Then, edit the application.properties file in the src/main/resources/ folder to include your Azure OpenAI Credentials. Change the configuration below: azure.openai.endpoint=https://your-openai-resource.cognitiveservices.azure.com azure.openai.api-key=your_api_key_here If port 8080 is used for another application, and you want to change the port for which the web app will run, change the “server.port” configuration to include the desired port. Allow appropriate permissions to run the “mvnw” script file. chmod +x mvnw Run the application ./mvnw spring-boot:run Open your browser and type in your localhost/remote host IP (format: [host-ip:port]) in the browser search bar. If you are running a remote host, please do not forget to update your firewall/NSG to allow inbound connection to the configured port. You should see the web app to generate video with Sora AI using the API provided on Azure AI Foundry. Now, let’s generate a video with Sora Video Generator. Enter a prompt in the first text field, choose the video pixel resolution, and set the video duration. (Due to technical limitation, Sora can only generate video of a maximum of 20 seconds). Click on the “Generate video” button to proceed. The cost to generate the video should be displayed below the “Generate Video” button, for transparency purposes. You can click on the “View Breakdown” button to learn more about the cost breakdown. The video should be ready to download after a maximum of 5 minutes. You can check the status of the video by clicking on the “Check Status” button on the web app. The web app will inform you once the download is ready and the page should refresh every 10 seconds to fetch real-time update from Sora. Once it is ready, click on the “Download Video” button to download the video. Conclusion Generating AI videos with Sora on Azure AI Foundry is a game-changer for content creators, marketers, and developers. By following the steps outlined in this guide, you can set up your environment, integrate Sora, and start creating stunning AI-generated videos. Experiment with different prompts, optimize your workflow, and let your imagination run wild! Have you tried generating AI videos with Sora or Azure AI Foundry? Share your experiences or questions in the comments below. Don’t forget to subscribe for more AI and cloud computing tutorials!.NET MAUI on Linux with Visual Studio Code
Explore Cross-Platform Development with .NET MAUI on Linux! Dive into the latest release of the .NET MAUI extension for Visual Studio Code, enabling Linux users to develop apps for Android, Windows, iOS, and macOS. This guide offers a step-by-step tutorial on setting up your Linux system for .NET MAUI development, including installation of essential tools and leveraging the C# Dev Kit extension. Whether you're working on Ubuntu or another Linux distribution, this article, enriched with a video walkthrough by Gerald Versluis, simplifies the journey to creating powerful, versatile applications with .NET MAUI.Guidance for handling CVE-2025-31324 using Microsoft Security capabilities
Short Description Recently, a CVSS 10 vulnerability, CVE-2025-31324, affecting the "Visual Composer" component of the SAP NetWeaver application server, has been published, putting organizations at risk. In this blog post, we will show you how to effectively manage this CVE if your organization is affected by it. Exploiting this vulnerability involves sending a malicious POST request to the "/developmentserver/metadatauploader" endpoint of the SAP NetWeaver application server, which allows allow arbitrary file upload and execution. Impact: This vulnerability allows attackers to deploy a webshell and execute arbitrary commands on the SAP server with the same permissions as the SAP service. This specific SAP product is typically used in large organizations, on Linux and Windows servers across on-prem and cloud environments - making the impact of this vulnerability significant. Microsoft have already observed active exploits of this vulnerability in the wild, highlighting the urgency of addressing this issue. Mapping CVE-2025-31324 in Your Organization The first step in managing an incident is to map affected software within your organization’s assets. Using the Vulnerability Page Information on this CVE, including exposed devices and software in your organization, is available from the vulnerability page for CVE-2025-31324. Using Advanced Hunting This query searches software vulnerable to the this CVE and summarizes them by device name, OS version and device ID: DeviceTvmSoftwareVulnerabilities | where CveId == "CVE-2025-31324" | summarize by DeviceName, DeviceId, strcat(OSPlatform, " ", OSVersion), SoftwareName, SoftwareVersion To map the presence of additional, potentially vulnerable SAP NetWeaver servers in your environment, you can use the following Advanced Hunting query: *Results may be incomplete due to reliance on activity data, which means inactive instances of the application - those installed but not currently running, might not be included in the report. DeviceProcessEvents | where (FileName == "disp+work.exe" and ProcessVersionInfoProductName == "SAP NetWeaver") or FileName == "disp+work" | distinct DeviceId, DeviceName, FileName, ProcessVersionInfoProductName, ProcessVersionInfoProductVersion Where available, the ProcessVersionInfoProductVersion field contains the version of the SAP NetWeaver software. Optional: Utilizing software inventory to map devices is advisable even when a CVE hasn’t been officially published or when there’s a specific requirement to upgrade a particular package and version. This query searches for devices that have a vulnerable versions installed (you can use this link to open the query in your environment): DeviceTvmSoftwareInventory | where SoftwareName == "netweaver_application_server_visual_composer" | parse SoftwareVersion with Major:int "." Minor:int "." BuildDate:datetime "." rest:string | extend IsVulnerable = Minor < 5020 or BuildDate < datetime(2025-04-18) | project DeviceId, DeviceName, SoftwareVendor, SoftwareName, SoftwareVersion, IsVulnerable Using a dedicated scanner You can leverage Microsoft’s lightweight scanner to validate if your SAP NetWeaver application is vulnerable. This scanner probes the vulnerable endpoint without actively exploiting it. Recommendations for Mitigation and Best Practices Mitigating risks associated with vulnerabilities requires a combination of proactive measures and real-time defenses. Here are some recommendations: Update NetWeaver to a Non-Vulnerable Version: All NetWeaver 7.x versions are vulnerable. For versions 7.50 and above, support packages SP027 - SP033 have been released and should be installed. Versions 7.40 and below do not receive new support packages and should implement alternative mitigations. JIT (Just-In-Time) Access: Cloud customers using Defender for Servers P2 can utilize our "JIT" feature to protect their environment from unnecessary ports and risks. This feature helps secure your environment by limiting exposure to only the necessary ports. The Microsoft research team has identified common ports that are potential to be used by these components, so you can check or use JIT for these. It is important to mention that JIT can be used for any port, but these are the most common ones. Learn more about the JIT capability Ports commonly used by the vulnerable application as observed by Microsoft: 80, 443, 50000, 50001, 1090, 5000, 8000, 8080, 44300, 44380 Active Exploitations To better support our customers in the event of a breach, we are expanding our detection framework to identify and alert you about the exploitation of this vulnerability across all operating systems (for MDE customers). These detectors, as all Microsoft detections, are also connected to Automatic Attack Disruption, our autonomous protection vehicle. In cases where these alerts, alongside other signals, will allow for high confidence of an ongoing attack, automatic actions will be taken to contain the attack and prevent further progressions of the attack. Coverage and Detections Currently, our solutions support coverage of CVE-2025-31324 for Windows and Linux devices that are onboarded to MDE (in both MDE and MDC subscriptions). To further expand our support, Microsoft Defender Vulnerability management is currently deploying additional detection mechanisms. This blog will be updated with any changes and progress. Conclusion By following these guidelines and utilizing end-to-end integrated Microsoft Security products, organizations can better prepare for, prevent and respond to attacks, ensuring a more secure and resilient environment. While the above process provides a comprehensive approach to protecting your organization, continual monitoring, updating, and adapting to new threats are essential for maintaining robust security.
Using SCP to copy a file from Linux to Windows
I'm having an issue with scp to copy a file from Linux to Windows. I log into my remote Linux system and by using this command to copy any file in this case to Windows although Windows stalls when attempting to copy ? scp /home/ubuntu/myfile username@IP_of_windows_machine:/C:/Users/Anshul/Desktop From this link; https://stackoverflow.com/a/49229019/22063662
Edge Linux: Collections and Workspaces
Hey y'all, I use Edge Dev on both Linux (at home) and Windows (at work). I started using Collections recently, and I was upset to find it doesn't work on Edge Linux (yes, my packages are up to date). Although I haven't tried Workspaces yet, it's not working either on Linux. Even if you enable it, it doesn't show up. I can see that the tab expands, but the button doesn't appear. With Collections, enabling has no effect at all. Is this a known bug, or it just doesn't work on Edge Linux yet? Ubuntu 22.04.2 LTS x86_64. Version 115.0.1851.0 (Official build) dev (64-bit).Lesson Learned #520: Troubleshooting Azure SQL Database Redirect Connection over Private Endpoint
A few days ago, we handled an interesting support case where a customer encountered the following connection error when using sqlcmd to connect to their Azure SQL Database "Sqlcmd: Error: Microsoft ODBC Driver 18 for SQL Server : Login timeout expired. Sqlcmd: Error: Microsoft ODBC Driver 18 for SQL Server : TCP Provider: Error code 0x102. Sqlcmd: Error: Microsoft ODBC Driver 18 for SQL Server : A network-related or instance-specific error has occurred while establishing a connection to servername.database.windows.net (Redirected: servername.database.windows.net\xxxx8165ccxxx,6188). Server is not found or not accessible. Check if instance name is correct and if SQL Server is configured to allow remote connections. For more information see SQL Server Books Online." At first glance, what immediately caught our attention was the port number mentioned in the error 6188. This is not the typical 1433 port that SQL Server usually listens on. Additionally, the message referenced a "Redirected" connection, which gave us the first strong clue. We asked the customer to run the following commands for diagnostics steps: ping servername.database.windows.net to identify the IP address resolved for the Azure SQL Database Server, returning a private IP: 10.1.0.200. nslookup servername.database.windows.net to confirm whether the resolution was happening through a custom DNS or public DNS. ifconfig -a to determine the local IP address of the client, which was 10.1.0.10 (our customer is using Linux environment - RedHat) With all this information in hand, we asked the customer to open a terminal on their Linux machine and execute sudo tcpdump -i eth0 host 10.1.0.200 meanwhile they are attempting to connect using another terminal with sqlcmd and we observed that the sqlcmd was: First making a request to the port 1433 that is expected And then immediately attempting a second connection to port 6188 on the same private IP. It was during this second connection attempt that the timeout occurred. After it, based on the port and the message we asked to our customer what type of connection has this server and they reported Redirect. We explained in Azure SQL, when Redirect mode is enabled, the client: Connects to the gateway on port 1433 Receives a redirection response with a new target IP and dynamic port (e.g., 6188) Attempts a new connection to the private endpoint using this port We reviewed the connection configuration and confirmed that Redirect mode was enabled. After speaking with the customer's networking and security team, we discovered that their firewall rules were blocking outbound connections to dynamic ports like 6188. We proposed two alternative solutions: Option 1: Adjust Firewall Rules Allow outbound traffic from the client’s IP (10.1.0.10) to the Private Endpoint IP (10.1.0.200) for the required range of ports used by Azure SQL in Redirect mode. This keeps the benefits of Redirect mode: Lower latency Direct database access via Private Link Reduced dependence on Azure Gateway Option 2: Switch to Proxy Mode Change the Azure SQL Server's connection policy to Proxy, which forces all traffic through port 1433 only. This is simpler for environments where security rules restrict dynamic port ranges, but it may introduce slightly higher latency. In this case, the customer opted to update the VNet's NSG and outbound firewall rules to allow the necessary range of ports for the Private Endpoint. This allowed them to retain the benefits of Redirect mode while maintaining secure, high-performance connectivity to their Azure SQL Database.
