Microsoft Windows CHM File Processing Buffer Overflow Vulnerability
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
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
The Mirage of AI Programming: Hallucinations and Code IntegrityThe adoption of large language models (LLMs) and Generative Pre-trained Transformers (GPTs), such as ChatGPT, by leading firms like Microsoft, Nuance, Mix and Google CCAI Insights, drives the industry towards a series of transformative changes. As the use of these new technologies becomes prevalent, it is important to understand their key behavior, advantages, and the risks they present.Read more
Open RAN: Attack of the xAppsThis article discusses two O-RAN vulnerabilities that attackers can exploit. One vulnerability stems from insufficient access control, and the other arises from faulty message handlingRead more