Novell GroupWise WebAccess 'gw/webacc' Multiple Cross-Site Scripting Vulnerabilities
Publish date: February 21, 2011
Severity: MEDIUM
CVE Identifier: CVE-2009-1635
Advisory Date: FEB 21, 2011
DESCRIPTION
Multiple cross-site scripting (XSS) vulnerabilities in the WebAccess component in Novell GroupWise 7.x before 7.03 HP3 and 8.x before 8.0 HP2 allow remote attackers to inject arbitrary web script or HTML via (1) the User.lang parameter to the login page (aka gw/webacc), (2) style expressions in a message that contains an HTML file, or (3) vectors associated with incorrect protection mechanisms against scripting, as demonstrated using whitespace between JavaScript event names and values.
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: 1000552
Trend Micro Deep Security DPI Rule Name: 1000552 - Generic Cross Site Scripting(XSS) Prevention
AFFECTED SOFTWARE AND VERSION
- novell groupwise 7.0
- novell groupwise 7.0.0
- novell groupwise 7.0.2
- novell groupwise 7.0.3
- novell groupwise 7.01
- novell groupwise 7.02x
- novell groupwise 7.03
- novell groupwise 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