Adobe Acrobat and Reader Collab 'getIcon()' JavaScript Method Remote Code Execution Vulnerability
Publish date: July 21, 2015
Severity: CRITICAL
CVE Identifier: CVE-2009-0927
Advisory Date: JUL 21, 2015
DESCRIPTION
Stack-based buffer overflow in Adobe Reader and Adobe Acrobat 9 before 9.1, 8 before 8.1.3 , and 7 before 7.1.1 allows remote attackers to execute arbitrary code via a crafted argument to the getIcon method of a Collab object, a different vulnerability than CVE-2009-0658.
TREND MICRO PROTECTION INFORMATION
Per vendor advisory in the 'details' section it states:
'The Adobe Reader and Acrobat 9.1 and 7.1.1 updates resolve an input validation issue in a JavaScript method that could potentially lead to remote code execution. This issue has already been resolved in Adobe Reader 8.1.3 and Acrobat 8.1.3. (CVE-2009-0927)'
http://www.adobe.com/support/security/bulletins/apsb09-04.html
SOLUTION
Trend Micro Deep Security DPI Rule Number: 1003405
Trend Micro Deep Security DPI Rule Name: 1003405 - Adobe Acrobat JavaScript getIcon Method Buffer Overflow
AFFECTED SOFTWARE AND VERSION
- Adobe Reader 9.0
- Adobe Reader 8.1.2
- Adobe Reader 8.1.1
- Adobe Reader 7.1.0
- Adobe Reader 7.0.9
- Adobe Reader 7.0.8
- Adobe Reader 7.0.7
- Adobe Reader 7.0.5
- Adobe Reader 7.0.3
- Adobe Reader 7.0.2
- Adobe Reader 7.0.1
- Adobe Reader 8.1
- Adobe Reader 8.0
- Adobe Reader 7.0
- adobe acrobat 7.0
- adobe acrobat 7.0.1
- adobe acrobat 7.0.2
- adobe acrobat 7.0.3
- adobe acrobat 7.0.5
- adobe acrobat 7.0.7
- adobe acrobat 7.0.8
- adobe acrobat 7.0.9
- adobe acrobat 7.1.0
- adobe acrobat 8.0
- adobe acrobat 8.1
- adobe acrobat 8.1.1
- adobe acrobat 8.1.2
- adobe acrobat 9.0
Featured Stories
When AI Becomes a Zero-Day Machine: What Public Sector Organizations Need to KnowClaude Mythos Preview shows how AI can rapidly discover and weaponize zero-day vulnerabilities—transforming once human-scale threats into machine-speed attacks. As these capabilities spread, public sector organizations must rely on trusted, proactive defenders like TrendAI™ ZDI to stay ahead of an AI-driven threat landscape.Read more
Hunt Them All: An AI-Powered Vulnerability Sweep of 19,000 MCP ServersIn this research, we analyzed over 19,000 open-source MCP server repositories to uncover how much AI-generated code they contain and how many harbor exploitable vulnerabilities.Read more
Update on Exposed MCP Servers: The Threat Widens to the CloudExposed Model Context Protocol (MCP) servers have become powerful vectors for cloud attacks, enabling threat actors to not only access sensitive data but also take control of the cloud services themselves.Read more
Old Vulnerabilities, New AI Era, Amplified Risk: How Outdated Flaws Continue to Fuel the N-Day Exploit MarketEven as AI adoption accelerates, old exploits remain overlooked weaknesses. Underground trends show a renewed demand for exploits, with cybercriminals relying on aging but still effective vulnerabilities. We examine this blind spot and why long-standing issues need to be addressed.Read more