Microsoft Windows CHM File Processing Buffer Overflow Vulnerability
Publish date: February 23, 2011
Severity: CRITICAL
CVE Identifier: CVE-2009-0119
Advisory Date: FEB 23, 2011
DESCRIPTION
Microsoft Windows is prone to a buffer-overflow vulnerability because of an issue when processing CHM files.
Successfully exploiting this issue would allow attackers to corrupt memory and crash the application associated with these files. Given the nature of this issue, attackers may also be able to run arbitrary code, but this has not been confirmed.
Buffer overflow in Microsoft Windows XP SP3 allows remote attackers to cause a denial of service (memory corruption and application crash) or possibly execute arbitrary code via a crafted .chm file.
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: 1003313
Trend Micro Deep Security DPI Rule Name: 1003313 - Microsoft Windows CHM File Processing Buffer Overflow Vulnerability
AFFECTED SOFTWARE AND VERSION
- Microsoft Windows XP
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