Novell Groupwise Integer Overflow Vulnerability
Publish date: July 21, 2015
Severity: CRITICAL
CVE Identifier: CVE-2012-0271
Advisory Date: JUL 21, 2015
DESCRIPTION
Integer overflow in the WebConsole component in gwia.exe in GroupWise Internet Agent (GWIA) in Novell GroupWise 8.0 before 8.0.3 HP1 and 2012 before SP1 might allow remote attackers to execute arbitrary code via a crafted request that triggers a heap-based buffer overflow, as demonstrated by a request with -1 in the Content-Length HTTP header.
TREND MICRO PROTECTION INFORMATION
Apply associated Trend Micro DPI Rules.
SOLUTION
Trend Micro Deep Security DPI Rule Number: 1005210
Trend Micro Deep Security DPI Rule Name: 1005210 - Novell GroupWise Internet Agent Remote Integer Overflow Vulnerability
AFFECTED SOFTWARE AND VERSION
- novell groupwise 2012
- novell groupwise 5.2
- novell groupwise 5.5
- novell groupwise 5.57e
- novell groupwise 6.0
- novell groupwise 6.0.1
- novell groupwise 6.5
- novell groupwise 6.5.2
- novell groupwise 6.5.3
- novell groupwise 6.5.4
- novell groupwise 6.5.6
- novell groupwise 6.5.7
- novell groupwise 7.0
- novell groupwise 7.0.3
- novell groupwise 7.0.4
- novell groupwise 7.01
- novell groupwise 7.02
- novell groupwise 7.03
- novell groupwise 8.0
- novell groupwise 8.01
- novell groupwise 8.02
- novell groupwise 8.03
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