HTTP_LOTUS_DOMINO_TRAVERSAL_EXPLOIT
Publish date: February 04, 2011
Severity: CRITICAL
Advisory Date: FEB 04, 2011
DESCRIPTION
Lotus Domino 5.0.6 or lower versions has a vulnerability wherein a remote user can gain access to a known file residing in the server. A specially crafted request can be sent to access a known filename which will display the content of the file with read permission. This could enable a remote attacker to gain access to systems files, password files, etc, that could lead to a complete compromise of the host.
TREND MICRO PROTECTION INFORMATION
Users of Trend Micro PC-cillin Internet Security and Network VirusWall can detect this exploit at the network layer with Network Virus Pattern (NVP) 10173 or later.
Download the latest NVW pattern file from the following site:
https://www.trendmicro.com/download/product.asp?productid=45
AFFECTED SOFTWARE AND VERSION
- Lotus Domino 5.0.6
- Lotus Domino 5.0.5
- Lotus Domino 5.0.3
- Lotus Domino 5.0.2
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