Mozilla Firefox JavaScript Handler Race Condition Memory Corruption Vulnerability
CVE Identifier: CVE-2006-4253
Advisory Date: FEB 15, 2011
DESCRIPTION
Concurrency vulnerability in Mozilla Firefox 1.5.0.6 and earlier allows remote attackers to cause a denial of service (crash) and possibly execute arbitrary code via multiple Javascript timed events that load a deeply nested XML file, followed by redirecting the browser to another page, which leads to a concurrency failure that causes structures to be freed incorrectly, as demonstrated by (1) ffoxdie and (2) ffoxdie3. NOTE: it has been reported that Netscape 8.1 and K-Meleon 1.0.1 are also affected by ffoxdie. Mozilla confirmed to CVE that ffoxdie and ffoxdie3 trigger the same underlying vulnerability. NOTE: it was later reported that Firefox 2.0 RC2 and 1.5.0.7 are also affected.
TREND MICRO PROTECTION INFORMATION
Trend Micro Deep Security shields networks through Deep Packet Inspection (DPI) rules. Trend Micro customers using OfficeScan with Intrusion Defense Firewall (IDF) plugin are also protected from attacks using these vulnerabilities. Please refer to the filter number and filter name when applying appropriate DPI and/or IDF rules.
SOLUTION
Trend Micro Deep Security DPI Rule Number: 1000766
Trend Micro Deep Security DPI Rule Name: 1000766 - Mozilla Firefox JavaScript Handler Race Condition Memory Corruption Vulnerability
AFFECTED SOFTWARE AND VERSION
- K-Meleon Project K-Meleon 1.0.1
- Mozilla Firefox 0.10
- Mozilla Firefox 0.10.1
- Mozilla Firefox 0.8
- Mozilla Firefox 0.9
- Mozilla Firefox 0.9.1
- Mozilla Firefox 0.9.2
- Mozilla Firefox 0.9.3
- Mozilla Firefox 1.0
- Mozilla Firefox 1.0.1
- Mozilla Firefox 1.0.2
- Mozilla Firefox 1.0.3
- Mozilla Firefox 1.0.4
- Mozilla Firefox 1.0.5
- Mozilla Firefox 1.0.6
- Mozilla Firefox 1.0.7
- Mozilla Firefox 1.0.8
- Mozilla Firefox 1.5
- Mozilla Firefox 1.5.0.1
- Mozilla Firefox 1.5.0.2
- Mozilla Firefox 1.5.0.3
- Mozilla Firefox 1.5.0.4
- Mozilla Firefox 1.5.0.5
- Mozilla Firefox 1.5.0.6
- Netscape Netscape 8.1
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