Microsoft Windows '.ani' File 'tagBITMAPINFOHEADER' Denial of Service Vulnerability
Publish date: February 23, 2011
Severity: HIGH
CVE Identifier: CVE-2010-1098
Advisory Date: FEB 23, 2011
DESCRIPTION
Microsoft Windows is prone to a remote denial-of-service vulnerability when processing '.ani' files.
Successful exploits will cause the vulnerable applications that use the affected APIs to crash or become unresponsive, denying service to legitimate users.
The ANI parser in Microsoft Windows before 7 on the x86 platform, as used in Internet Explorer and other applications, allows remote attackers to cause a denial of service (memory and CPU consumption) via a crafted biClrUsed value in the BITMAPINFO header of a .ANI 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: 1004038
Trend Micro Deep Security DPI Rule Name: 1004038 - Microsoft Windows '.ani' File 'tagBITMAPINFOHEADER' Denial Of Service Vulnerability
AFFECTED SOFTWARE AND VERSION
- Microsoft Windows XP
- Microsoft Windows Vista
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