Oracle Document Capture Insecure Method Buffer Overflow
Publish date: July 01, 2011
Severity: CRITICAL
CVE Identifier: CVE-2010-3599
Advisory Date: JUL 01, 2011
DESCRIPTION
Unspecified vulnerability in the Oracle Document Capture component in Oracle Fusion Middleware 10.1.3.4 and 10.1.3.5 allows remote attackers to affect integrity and availability via unknown vectors related to Import Server. NOTE: the previous information was obtained from the January 2011 CPU. Oracle has not commented on claims from the original researcher that remote attackers can overwrite arbitrary files and execute arbitrary code via a full pathname in the first argument to the WriteJPG method in the NCSECWLib ActiveX control.
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: 1004581
Trend Micro Deep Security DPI Rule Name: 1004581 - Oracle Document Capture Insecure Method Buffer Overflow
AFFECTED SOFTWARE AND VERSION
- oracle fusion_middleware 10.1.3.4
- oracle fusion_middleware 10.1.3.5
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