Apache ap_escape_html Memory Allocation Denial Of Service Vulnerability
Severity: MEDIUM
CVE Identifier: CVE-2004-0493
Advisory Date: JUL 21, 2015
DESCRIPTION
The ap_get_mime_headers_core function in Apache httpd 2.0.49 allows remote attackers to cause a denial of service (memory exhaustion), and possibly an integer signedness error leading to a heap-based buffer overflow on 64 bit systems, via long header lines with large numbers of space or tab characters.
TREND MICRO PROTECTION INFORMATION
Apply associated Trend Micro DPI Rules.
SOLUTION
Trend Micro Deep Security DPI Rule Number: 1000633
Trend Micro Deep Security DPI Rule Name: 1000633 - Apache ap_escape_html Memory Allocation Denial Of Service Vulnerability
AFFECTED SOFTWARE AND VERSION
- Apache Software Foundation Apache 2.0.47
- Apache Software Foundation Apache 2.0.48
- Apache Software Foundation Apache 2.0.49
- Avaya Converged Communications Server 2.0
- Avaya S8300 R2.0.0
- Avaya S8500 R2.0.0
- Avaya S8700 R2.0.0
- Gentoo Gentoo Linux 1.4
- IBM IBM HTTP Server 2.0.42
- IBM IBM HTTP Server 2.0.42 .1
- IBM IBM HTTP Server 2.0.42 .2
- IBM IBM HTTP Server 2.0.47
- IBM IBM HTTP Server 2.0.47 .1
- Trustix Secure Enterprise Linux 2.0
- Trustix Secure Linux 1.5
- Trustix Secure Linux 2.0
- Trustix Secure Linux 2.1
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