Microsoft Word Object Parsing Vulnerability
Publish date: February 15, 2011
Severity: CRITICAL
CVE Identifier: CVE-2008-1091
Advisory Date: FEB 15, 2011
DESCRIPTION
Unspecified vulnerability in Microsoft Word in Office 2000 and XP SP3, 2003 SP2 and SP3, and 2007 Office System SP1 and earlier allows remote attackers to execute arbitrary code via a Rich Text Format (.rtf) file with a malformed string that triggers a "memory calculation error" and a heap-based buffer overflow, aka "Object Parsing 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: 1002497
Trend Micro Deep Security DPI Rule Name: 1002497 - Microsoft Word Object Parsing Vulnerability
AFFECTED SOFTWARE AND VERSION
- microsoft office 2000
- microsoft office 2003
- microsoft office 2004
- microsoft office 2007
- microsoft office 2007_sp1
- microsoft office 2008
- microsoft office xp
- microsoft office_compatibility_pack_for_word_excel_ppt_2007
- microsoft word_viewer 2003
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