Adobe BlazeDS XML and XML External Entity Injection Vulnerabilities
Severity: MEDIUM
CVE Identifier: CVE-2009-3960
Advisory Date: JUN 09, 2016
DESCRIPTION
Unspecified vulnerability in BlazeDS 3.2 and earlier, as used in LiveCycle 8.0.1, 8.2.1, and 9.0, LiveCycle Data Services 2.5.1, 2.6.1, and 3.0, Flex Data Services 2.0.1, and ColdFusion 7.0.2, 8.0, 8.0.1, and 9.0, allows remote attackers to obtain sensitive information via vectors that are associated with a request, and related to injected tags and external entity references in XML documents.
TREND MICRO PROTECTION INFORMATION
Apply associated Trend Micro DPI Rules.
SOLUTION
Trend Micro Deep Security DPI Rule Number: 1004007
Trend Micro Deep Security DPI Rule Name: 1004007 - Adobe BlazeDS XML and XML External Entity Injection Vulnerabilities
AFFECTED SOFTWARE AND VERSION
- adobe blazeds 3.2
- adobe coldfusion 7.0.2
- adobe coldfusion 8.0
- adobe coldfusion 8.0.1
- adobe coldfusion 9.0
- adobe flex_data_services 2.0.1
- adobe lifecycle 8.0.1
- adobe lifecycle 8.2.1
- adobe lifecycle 9.0
- adobe lifecycle_data_services 2.5.1
- adobe lifecycle_data_services 2.6.1
- adobe lifecycle_data_services 3.0
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