Apple slips security fix into iTunes update

By
Follow google news

Apple has included a fix for a remote code execution vulnerability for the OS X and Windows versions of its latest iTunes 7.4 release.

Apple slips security fix into iTunes update
The software was unveiled on 5 September to support a new range of iPods and a ring-tone builder.

The vulnerability lies in the cover art display system used by iTunes. Cover art is displayed while a track is playing, but is also used to navigate music in the Cover Flow interface.

By creating a specially malformed file, an attacker could cause an application crash or execute arbitrary code.

Remote code execution flaws are considered to be the most serious type of vulnerability, because they can be used by attackers to install malware.

Apple credited David Thiel, a security researcher at iSec Partners, with discovering the vulnerability.

Security firm Secunia rated the flaw as 'highly critical', the second highest of its alert levels. Secunia and the US Computer Emergency Readiness Team recommended that users install the update as soon as possible.

ITunes has yet to fall victim to a major attack, but other Apple products have been targeted by malware authors.

Late last year a piece of malware spread through MySpace preying on users via a flaw in Apple's QuickTime software.

The infamous MPack exploit tool has also been known to target Quicktime vulnerabilities.

Add iTnews as your trusted source

Got a news tip for our journalists? Share it with us anonymously here.
Copyright ©v3.co.uk
Tags:

Most Read Articles

US medical device maker Stryker's Microsoft environment attacked

US medical device maker Stryker's Microsoft environment attacked

Poor WA gov M365 security led to $71k theft and children's data breached

Poor WA gov M365 security led to $71k theft and children's data breached

CBA chief impersonated in global investment fraud on Facebook

CBA chief impersonated in global investment fraud on Facebook

Services Australia describes fraud, debt-related machine learning use cases

Services Australia describes fraud, debt-related machine learning use cases

Log In

  |  Forgot your password?