WebKit 'libxslt' Remote Code Execution Vulnerability
Severity: HIGH
CVE Identifier: CVE-2011-1774
Advisory Date: JUL 21, 2015
DESCRIPTION
WebKit in Apple Safari before 5.0.6 has improper libxslt security settings, which allows remote attackers to create arbitrary files, and consequently execute arbitrary code, via a crafted web site. NOTE: this may overlap CVE-2011-1425.
TREND MICRO PROTECTION INFORMATION
Apply associated Trend Micro DPI Rules.
SOLUTION
Trend Micro Deep Security DPI Rule Number: 1004827
Trend Micro Deep Security DPI Rule Name: 1004827 - WebKit 'libxslt' Remote Code Execution Vulnerability
AFFECTED SOFTWARE AND VERSION
- apple safari 1.0
- apple safari 1.0.0
- apple safari 1.0.0b1
- apple safari 1.0.0b2
- apple safari 1.0.1
- apple safari 1.0.2
- apple safari 1.0.3
- apple safari 1.1
- apple safari 1.1.0
- apple safari 1.1.1
- apple safari 1.2
- apple safari 1.2.0
- apple safari 1.2.1
- apple safari 1.2.2
- apple safari 1.2.3
- apple safari 1.2.4
- apple safari 1.2.5
- apple safari 1.3
- apple safari 1.3.0
- apple safari 1.3.1
- apple safari 1.3.2
- apple safari 2
- apple safari 2.0
- apple safari 2.0.0
- apple safari 2.0.1
- apple safari 2.0.2
- apple safari 2.0.3
- apple safari 2.0.4
- apple safari 3
- apple safari 3.0
- apple safari 3.0.0
- apple safari 3.0.0b
- apple safari 3.0.1
- apple safari 3.0.1b
- apple safari 3.0.2
- apple safari 3.0.2b
- apple safari 3.0.3
- apple safari 3.0.3b
- apple safari 3.0.4
- apple safari 3.0.4b
- apple safari 3.1.0
- apple safari 3.1.0b
- apple safari 3.1.1
- apple safari 3.1.2
- apple safari 3.2.0
- apple safari 3.2.1
- apple safari 3.2.2
- apple safari 4.1
- apple safari 4.1.1
- apple safari 4.1.2
- apple safari 5.0
- apple safari 5.0.1
- apple safari 5.0.2
- apple safari 5.0.3
- apple safari 5.0.4
- apple safari 5.0.5
- apple webkit
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