Uninitialized Memory Corruption Remote Code Execution Vulnerability
Publish date: February 15, 2011
Severity: CRITICAL
CVE Identifier: CVE-2009-0554
Advisory Date: FEB 15, 2011
DESCRIPTION
Microsoft Internet Explorer 5.01 SP4, 6 SP1, 6 and 7 on Windows XP SP2 and SP3,
6 and 7 on Windows Server 2003 SP1 and SP2, 7 on Windows Vista Gold and SP1, and
7 on Windows Server 2008 allows remote attackers to execute arbitrary code via a
web page that triggers presence of an object in memory that was (1) not properly
initialized or (2) deleted, aka "Uninitialized Memory Corruption
Vulnerability."
TREND MICRO PROTECTION INFORMATION
Trend Micro Deep Security shields networks through Deep Packet Inspection (DPI) rules. Trend Micro customers using OfficeScan with Intrusion Defense Firewall (IDF) plugin are also protected from attacks using these vulnerabilities. Please refer to the filter number and filter name when applying appropriate DPI and/or IDF rules.
SOLUTION
Trend Micro Deep Security DPI Rule Number: 1003429
Trend Micro Deep Security DPI Rule Name: 1003429 - Uninitialized Memory Corruption Remote Code Execution Vulnerability
AFFECTED SOFTWARE AND VERSION
- microsoft internet_explorer 5.01
- microsoft internet_explorer 6
- microsoft internet_explorer 7
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