Hack Turns Application Code Against Itself

New attack uses application flaws to force good code to go rogue

Turns out you don't need malware to exploit a security flaw in an application: A pair of researchers has found a way to automatically make good code do bad things.

Researchers from the University of California at San Diego (UCSD) have devised a technique that basically lets an attacker bypass built-in system defenses aimed at blocking malware, and then execute instructions from inside the application. The process uses an application's vulnerability to turn it against the system on which it runs.

An attacker could take advantage of a flaw in a Web browser, for instance, to force the browser to spam the user's address book using only the browser's own code, according to the researchers.

"Most computer security defenses are based on the notion that preventing the introduction of malicious code is sufficient to protect a computer," said Stefan Savage, a UCSD computer science professor and co-author of the newly published paper, "When Good Instructions Go Bad: Generalizing Return-Oriented Programming to RISC" (PDF). "This assumption is at the core of trusted computing, antivirus software, and various defenses like Intel and AMD's no-execute protections. There is a subtle fallacy in the logic, however: Simply keeping out bad code is not sufficient to keep out bad computation."

Another UCSD researcher at Black Hat USA in August demonstrated a more manual technique for this -- against x86-based systems. But UCSD graduate students Erik Buchanan and Ryan Roemer in this latest research took it to the next level and automated the process, as well as extended it to RISC-based processors.

The researchers automated the development of malicious programs from code with "gadgets" to streamline the process. Since malware isn't involved, an attacker could hijack the application and force it to behave badly.

"The researchers' breakthrough is the ability to quickly extract patterns that can be used in such an attack to execute instructions that should be prevented by the OS," as well as using this so-called return-oriented technique against the RISC processing platform, says Pierre-Marc Bureau, a researcher with Eset.

While such an attack isn't likely a big threat today, it demonstrates how seemingly benign software bugs could become lethal. "You're not going to bother fixing a buffer overflow because it doesn't seem exploitable. But this shows that these kinds of flaws might be exploitable [after all] with these techniques," says Chris Wysopal, CTO at Veracode. "These aren't new exploits. But they are coming up with a generalized technique for exploiting some of those vulnerabilities we already know about."

Such an attack would take a relatively skilled hacker, says Randy Abrams, director of technical education at Eset. "For the criminal element, they'll go after the low-hanging fruit, and that is the user," Abrams says.

Aside from fixing certain types of application flaws or creating other security measures to protect against such attacks, the researchers say their finding could shift the focus to more behavior-based security. "We may be forced to abandon the convenient model that code is statically either good or bad, and instead focus on dynamically distinguishing whether a particular execution stream exhibits good or bad behavior," they wrote in their paper.

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About the Author(s)

Kelly Jackson Higgins, Editor-in-Chief, Dark Reading

Kelly Jackson Higgins is the Editor-in-Chief of Dark Reading. She is an award-winning veteran technology and business journalist with more than two decades of experience in reporting and editing for various publications, including Network Computing, Secure Enterprise Magazine, Virginia Business magazine, and other major media properties. Jackson Higgins was recently selected as one of the Top 10 Cybersecurity Journalists in the US, and named as one of Folio's 2019 Top Women in Media. She began her career as a sports writer in the Washington, DC metropolitan area, and earned her BA at William & Mary. Follow her on Twitter @kjhiggins.

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