Symantec AutoFix Tool ActiveX Control Remote Share 'launchProcess()' Insecure Method Vulnerability
Severity: MEDIUM
CVE Identifier: CVE-2008-0313,CVE-2008-0312
Advisory Date: FEB 15, 2011
DESCRIPTION
An ActiveX control in the Symantec AutoFix Tool is prone to a vulnerability due to an insecure method.
Attackers can leverage this issue to load an arbitrary file onto a victim's computer and then execute it with the privileges of the application running the control (typically Internet Explorer). This issue is exploitable only when a victim's computer is configured to allow remote connections to WebDav or SMB shares.
Successful exploits will compromise affected computers.
This issue affects 'SYMADATA.DLL' version 2.7.0.1 ActiveX control, which is part of the following Symantec products:
- Norton 360 version 1.0
- Norton AntiVirus 2006-2008
- Norton Internet Security 2006-2008
- Norton System Works 2006-2008
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: 1002362
Trend Micro Deep Security DPI Rule Name: 1002362 - Microsoft Internet Explorer Symantec Autofix Tool ActiveX Buffer Overflow
AFFECTED SOFTWARE AND VERSION
- Symantec Norton 360 1.0
- Symantec Norton AntiVirus 2006
- Symantec Norton Antivirus 2007 0
- Symantec Norton Antivirus 2008 0
- Symantec Norton Internet Security 2006 0
- Symantec Norton Internet Security 2007 0
- Symantec Norton Internet Security 2008 0
- Symantec Norton SystemWorks 2006 0
- Symantec Norton SystemWorks 2007 0
- Symantec Norton SystemWorks 2008 0
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