Real Networks RealPlayer '.AVI' File Parsing Buffer Overflow Vulnerability
Severity: CRITICAL
CVE Identifier: CVE-2010-4393
Advisory Date: JUL 21, 2015
DESCRIPTION
Heap-based buffer overflow in vidplin.dll in RealNetworks RealPlayer 11.0 through 11.1 and 14.0.x before 14.0.2, and RealPlayer SP 1.0 through 1.1.5, allows remote attackers to execute arbitrary code via a crafted header in an AVI file.
TREND MICRO PROTECTION INFORMATION
Apply associated Trend Micro DPI Rules.
SOLUTION
Trend Micro Deep Security DPI Rule Number: 1004614
Trend Micro Deep Security DPI Rule Name: 1004614 - Real Networks RealPlayer '.AVI' File Parsing Buffer Overflow
AFFECTED SOFTWARE AND VERSION
- realnetworks realplayer 11.0
- realnetworks realplayer 11.1
- realnetworks realplayer 14.0.0
- realnetworks realplayer 14.0.1
- realnetworks realplayer_sp 1.0.0
- realnetworks realplayer_sp 1.0.1
- realnetworks realplayer_sp 1.0.2
- realnetworks realplayer_sp 1.0.5
- realnetworks realplayer_sp 1.1
- realnetworks realplayer_sp 1.1.1
- realnetworks realplayer_sp 1.1.2
- realnetworks realplayer_sp 1.1.3
- realnetworks realplayer_sp 1.1.4
- realnetworks realplayer_sp 1.1.5
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