Adobe Reader 'getAnnots()' Javascript Function Remote Code Execution Vulnerability
Severity: CRITICAL
CVE Identifier: CVE-2009-1492
Advisory Date: JUL 21, 2015
DESCRIPTION
Adobe Reader is prone to a remote code-execution vulnerability. An attacker can exploit this issue to execute arbitrary code with the privileges of the user running the application or crash the application, denying service to legitimate users.
TREND MICRO PROTECTION INFORMATION
- 1003464 - Adobe Reader JavaScript getAnnots Method Memory Corruption
- 1003464 - Adobe Reader JavaScript getAnnots Method Memory Corruption
SOLUTION
Trend Micro Deep Security DPI Rule Number: 1003458
AFFECTED SOFTWARE AND VERSION
- adobe acrobat 3.0
- adobe acrobat 3.1
- adobe acrobat 4.0
- adobe acrobat 4.0.5
- adobe acrobat 4.0.5a
- adobe acrobat 4.0.5c
- adobe acrobat 5.0
- adobe acrobat 5.0.10
- adobe acrobat 5.0.5
- adobe acrobat 5.0.6
- adobe acrobat 6.0
- adobe acrobat 6.0.1
- adobe acrobat 6.0.2
- adobe acrobat 6.0.3
- adobe acrobat 6.0.4
- adobe acrobat 6.0.5
- adobe acrobat 7.0
- adobe acrobat 7.0.1
- adobe acrobat 7.0.2
- adobe acrobat 7.0.3
- adobe acrobat 7.0.4
- adobe acrobat 7.0.5
- adobe acrobat 7.0.6
- adobe acrobat 7.0.7
- adobe acrobat 7.0.8
- adobe acrobat 7.0.9
- adobe acrobat 7.1
- adobe acrobat 7.1.0
- adobe acrobat 7.1.1
- adobe acrobat 8.1.4
- adobe acrobat 9.1
- adobe reader 3.0
- adobe reader 4.0
- adobe reader 4.0.5
- adobe reader 4.0.5a
- adobe reader 4.0.5c
- adobe reader 4.5
- adobe reader 5.0
- adobe reader 5.0.10
- adobe reader 5.0.11
- adobe reader 5.0.5
- adobe reader 5.0.6
- adobe reader 5.0.7
- adobe reader 5.0.9
- adobe reader 5.1
- adobe reader 6.0
- adobe reader 6.0.1
- adobe reader 6.0.2
- adobe reader 6.0.3
- adobe reader 6.0.4
- adobe reader 6.0.5
- adobe reader 7.0.1
- adobe reader 7.0.2
- adobe reader 7.0.3
- adobe reader 7.0.5
- adobe reader 7.0.7
- adobe reader 7.0.8
- adobe reader 7.0.9
- adobe reader 7.1.0
- adobe reader 7.1.1
- adobe reader 8.1.4
- adobe reader 9.1
Featured Stories
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
The Mirage of AI Programming: Hallucinations and Code IntegrityThe adoption of large language models (LLMs) and Generative Pre-trained Transformers (GPTs), such as ChatGPT, by leading firms like Microsoft, Nuance, Mix and Google CCAI Insights, drives the industry towards a series of transformative changes. As the use of these new technologies becomes prevalent, it is important to understand their key behavior, advantages, and the risks they present.Read more
Open RAN: Attack of the xAppsThis article discusses two O-RAN vulnerabilities that attackers can exploit. One vulnerability stems from insufficient access control, and the other arises from faulty message handlingRead more