Trend Micro Server Protect Multiple Stack Buffer Overflows
Publish date: July 21, 2015
Severity: CRITICAL
CVE Identifier: CVE-2007-2508
Advisory Date: JUL 21, 2015
DESCRIPTION
Multiple stack-based buffer overflows in Trend Micro ServerProtect 5.58 before Security Patch 2 Build 1174 allow remote attackers to execute arbitrary code via crafted data to (1) TCP port 5168, which triggers an overflow in the CAgRpcClient::CreateBinding function in the AgRpcCln.dll library in SpntSvc.exe; or (2) TCP port 3628, which triggers an overflow in EarthAgent.exe. NOTE: both issues are reachable via TmRpcSrv.dll.
TREND MICRO PROTECTION INFORMATION
Apply associated Trend Micro DPI Rules.
SOLUTION
Trend Micro Deep Security DPI Rule Number: 1001081
Trend Micro Deep Security DPI Rule Name: 1001081 - Trend Micro ServerProtect SPNT and EarthAgent Multiple Stack Overflow
AFFECTED SOFTWARE AND VERSION
- Trend Micro ServerProtect 5.58
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