News

Excel Bug Prompts Microsoft Advisory

Microsoft is looking into public reports of a vulnerability in Excel that could enable a remote code execution attack by hackers.

Microsoft is looking into public reports of a new-found vulnerability in its Microsoft Office Excel spreadsheet application that could enable a remote code execution attack by hackers. On Tuesday, Redmond issued an advisory outlining the problem.

Security solution provider Symantec Corp. claimed to have first discovered the Excel bug on Monday. Its researchers in an affiliate office in Japan found an unpatched vulnerability in Excel associated with the older .xls document format, according to a Symantec blog.

Symantec officials are calling the bug Trojan.Mdropper.AC. A malicious Excel file creates a Trojan-horse binary when the user opens the file. At the same time, a regular Excel document opens, masking the problem, according to the blog.

The technique isn't new, but the hackers added some tricks to cover the trail.

"We see this kind of behavior all the time, but as the analysis of the vulnerability progressed it became clear that this was a new vulnerability and the creators had used clever techniques to evade detection," said Vincent Weafer, vice president of Symantec Security Response, in an e-mailed comment. "The motivation behind this is not yet clear. As of yet, we have only seen a few targeted exploits of this vulnerability and continue to monitor for any signs of a widespread attack using this exploit."

In acknowledging the existence of the Excel problem, Microsoft said its advisory touches several Excel service pack versions in the 2000, 2002, 2003 and 2007 editions of the application. Excel Viewer is also affected, along with Excel 2004 and 2008 for Apple Inc.'s Mac.

"At this time, we are aware only of limited and targeted attacks that attempt to use this vulnerability," said Bill Sisk, senior program manager at Microsoft's Security Response Center in a statement issued on Tuesday. "We are developing a security update for Microsoft Office that addresses this vulnerability."

Sisk did not specify whether the patch would likely come in next month's slate or if it was merely for Excel or the whole Office suite of products.

About the Author

Jabulani Leffall is an award-winning journalist whose work has appeared in the Financial Times of London, Investor's Business Daily, The Economist and CFO Magazine, among others.

comments powered by Disqus

Featured

  • VS Code v1.99 Is All About Copilot Chat AI, Including Agent Mode

    Agent Mode provides an autonomous editing experience where Copilot plans and executes tasks to fulfill requests. It determines relevant files, applies code changes, suggests terminal commands, and iterates to resolve issues, all while keeping users in control to review and confirm actions.

  • Windows Community Toolkit v8.2 Adds Native AOT Support

    Microsoft shipped Windows Community Toolkit v8.2, an incremental update to the open-source collection of helper functions and other resources designed to simplify the development of Windows applications. The main new feature is support for native ahead-of-time (AOT) compilation.

  • New 'Visual Studio Hub' 1-Stop-Shop for GitHub Copilot Resources, More

    Unsurprisingly, GitHub Copilot resources are front-and-center in Microsoft's new Visual Studio Hub, a one-stop-shop for all things concerning your favorite IDE.

  • Mastering Blazor Authentication and Authorization

    At the Visual Studio Live! @ Microsoft HQ developer conference set for August, Rockford Lhotka will explain the ins and outs of authentication across Blazor Server, WebAssembly, and .NET MAUI Hybrid apps, and show how to use identity and claims to customize application behavior through fine-grained authorization.

  • Linear Support Vector Regression from Scratch Using C# with Evolutionary Training

    Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric value. A linear SVR model uses an unusual error/loss function and cannot be trained using standard simple techniques, and so evolutionary optimization training is used.

Subscribe on YouTube