Oracle Database Server SQL Injection in DBMS_DEFER_SYS.DELETE_TRAN Package
Severity: MEDIUM
CVE Identifier: CVE-2008-2592
Advisory Date: JUL 21, 2015
DESCRIPTION
Unspecified vulnerability in the Advanced Replication component in Oracle Database 9.0.1.5 FIPS+, 9.2.0.8, 9.2.0.8DV, 10.1.0.5, 10.2.0.4, and 11.1.0.6 has unknown impact and remote authenticated attack vectors related to SYS.DBMS_DEFER_SYS. NOTE: the previous information was obtained from the Oracle July 2008 CPU. Oracle has not commented on reliable researcher claims that this is a SQL injection vulnerability in the DELETE_TRAN procedure.
TREND MICRO PROTECTION INFORMATION
Apply associated Trend Micro DPI Rules.
SOLUTION
Trend Micro Deep Security DPI Rule Number: 1002839
Trend Micro Deep Security DPI Rule Name: 1002839 - Oracle Database Server SQL Injection In DBMS_DEFER_SYS.DELETE_TRAN Package
AFFECTED SOFTWARE AND VERSION
- Oracle Oracle Database 10.1.0.5
- Oracle Oracle Database 10.2.0.4
- Oracle Oracle Database 11.1.0.6
- Oracle Oracle Database 9.0.1.5
- Oracle Oracle Database 9.2.0.8
- Oracle advanced_replication_component
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