Microsoft Internet Explorer 'Style' Object Remote Code Execution Vulnerability
Severity: CRITICAL
CVE Identifier: CVE-2009-3762
Advisory Date: JUL 21, 2015
DESCRIPTION
Microsoft Internet Explorer 6 and 7 does not properly handle objects in memory that (1) were not properly initialized or (2) are deleted, which allows remote attackers to execute arbitrary code via vectors involving a call to the getElementsByTagName method for the STYLE tag name, selection of the single element in the returned list, and a change to the outerHTML property of this element, related to Cascading Style Sheets (CSS) and mshtml.dll, aka "HTML Object Memory Corruption Vulnerability." NOTE: some of these details are obtained from third party information. NOTE: this issue was originally assigned CVE-2009-4054, but Microsoft assigned a duplicate identifier of CVE-2009-3672. CVE consumers should use this identifier instead of CVE-2009-4054.
TREND MICRO PROTECTION INFORMATION
Apply associated Trend Micro DPI Rules.
SOLUTION
Trend Micro Deep Security DPI Rule Number: 1003842
Trend Micro Deep Security DPI Rule Name: 1003842 - Microsoft Internet Explorer 'Style' Object Remote Code Execution Vulnerability
AFFECTED SOFTWARE AND VERSION
- Microsoft Internet Explorer 7
- Microsoft Internet Explorer 6
Featured Stories
Beware of MCP Hardcoded Credentials: A Perfect Target for Threat ActorsPoor secret management in MCP servers can lead to serious consequences, including data breaches and supply chain attacks. This article examines the reality of these unsecure configurations and offers practical recommendations that minimize the chances of exposure.Read more
Lessons in Resilience from the Race to Patch SharePoint VulnerabilitiesIn this article, Trend Micro discusses how the fast-moving attacks using CVE-2025-53770 and CVE-2025-53771 have underscored the essential role of virtual patching and reliable intelligence in protecting organizations against evolving threats.Read more
Unveiling AI Agent Vulnerabilities Part V: Securing LLM ServicesTo conclude our series on agentic AI, this article examines emerging vulnerabilities that threaten AI agents, focusing on providing proactive security recommendations on areas such as code execution, data exfiltration, and database access.Read more
Unveiling AI Agent Vulnerabilities Part IV: Database Access VulnerabilitiesHow can attackers exploit weaknesses in database-enabled AI agents? This research explores how SQL generation vulnerabilities, stored prompt injection, and vector store poisoning can be weaponized by attackers for fraudulent activities.Read more