Adobe Acrobat And Reader Information Disclosure Vulnerability
Publish date: July 27, 2015
Severity: MEDIUM
CVE Identifier: CVE-2007-1199
Advisory Date: JUL 27, 2015
DESCRIPTION
Adobe Acrobat and Adobe Reader may allow remote attackers to retrieve the contents of files on a vulnerable computer. Information gathered through a successful exploit of this vulnerability may aid in other attacks.
TREND MICRO PROTECTION INFORMATION
- 1001924 - Adobe Acrobat Reader Information Disclosure Vulnerability
SOLUTION
Trend Micro Deep Security DPI Rule Number: 1002427
Trend Micro Deep Security DPI Rule Name: 1002427 - Adobe Acrobat And Reader Information Disclosure Vulnerability
AFFECTED SOFTWARE AND VERSION
- Adobe Acrobat Reader 4.0
- Adobe Acrobat Reader 4.0.5
- Adobe Acrobat Reader 4.5
- Adobe Acrobat Reader 5.0
- Adobe Acrobat Reader 5.0.10
- Adobe Acrobat Reader 5.0.5
- Adobe Acrobat Reader 5.0.6
- Adobe Acrobat Reader 5.0.7
- Adobe Acrobat Reader 5.0.9
- Adobe Acrobat Reader 5.1
- Adobe Acrobat Reader 6.0
- Adobe Acrobat Reader 6.0.1
- Adobe Acrobat Reader 6.0.2
- Adobe Acrobat Reader 6.0.3
- Adobe Acrobat Reader 6.0.4
- Adobe Acrobat Reader 7.0
- Adobe Acrobat Reader 7.0.1
- Adobe Acrobat Reader 7.0.2
- Adobe Acrobat Reader 7.0.3
- Adobe Acrobat Reader 7.0.4
- Adobe Acrobat Reader 7.0.5
- Adobe Acrobat Reader 7.0.6
- Adobe Acrobat Reader 7.0.7
- Adobe Acrobat Reader 7.0.8
- Adobe Acrobat Reader 7.0.9
- Adobe Acrobat Reader 8.0
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