CVE-2005-0765 in Ethereal
Summary
by MITRE
Unknown vulnerability in the JXTA dissector in Ethereal 0.10.9 allows remote attackers to cause a denial of service (application crash).
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Analysis
by VulDB Data Team • 07/16/2019
The vulnerability identified as CVE-2005-0765 represents a critical denial of service flaw within the JXTA dissector component of Ethereal network protocol analyzer version 0.10.9. This issue stems from inadequate input validation and error handling mechanisms within the dissector module responsible for parsing JXTA protocol traffic. The JXTA protocol, which stands for Java eXtension for Peer-to-Peer Applications, is a framework designed for building peer-to-peer networks and applications. When Ethereal encounters malformed or specially crafted JXTA protocol packets during network traffic analysis, the dissector fails to properly handle these inputs, leading to application instability and potential crash conditions.
The technical nature of this vulnerability places it within the domain of software robustness and input validation failures, which aligns with CWE-20 - Improper Input Validation and CWE-119 - Improper Access to Memory. The flaw manifests when the JXTA dissector processes malformed packet structures or unexpected data sequences that it was not designed to handle gracefully. This type of vulnerability is particularly dangerous in network analysis environments where tools like Ethereal are expected to maintain stability while processing diverse and potentially malicious network traffic. The remote attack vector indicates that an attacker can trigger this condition without requiring local system access, making it a significant threat to network monitoring infrastructure that relies on such tools for security analysis.
The operational impact of this vulnerability extends beyond simple service disruption, as it can compromise the integrity of network monitoring operations and potentially provide attackers with opportunities to evade detection. When Ethereal crashes due to this vulnerability, network administrators lose visibility into network traffic, creating a window of opportunity for malicious activities to go unnoticed. The disruption affects not only the immediate analysis capabilities but also the broader security posture of organizations relying on Ethereal for network traffic inspection. This vulnerability particularly impacts environments where network monitoring is critical for security operations, such as intrusion detection systems, network forensics, and security incident response operations. The attack can be executed through network traffic manipulation, where an attacker sends specially crafted JXTA protocol packets to a system running Ethereal, causing the application to terminate unexpectedly.
Mitigation strategies for this vulnerability involve immediate patching and updates to the Ethereal application to version 0.10.10 or later, which contains the necessary fixes for the JXTA dissector. Organizations should also implement network segmentation and traffic filtering to prevent unauthorized access to systems running Ethereal, particularly in environments where the tool processes untrusted network traffic. Additionally, implementing alternative network monitoring solutions with more robust error handling mechanisms can provide redundancy and reduce the risk associated with such vulnerabilities. The remediation process should include comprehensive testing of updated software in controlled environments before deployment to ensure that the fix does not introduce new compatibility issues or performance degradation. Security teams should also consider implementing network-based intrusion detection systems that can identify and block suspicious JXTA protocol traffic patterns, providing additional layers of protection against exploitation attempts. This vulnerability serves as a reminder of the importance of maintaining up-to-date network security tools and the critical need for robust input validation in protocol analysis software, particularly in security-critical applications where tool stability directly impacts overall network security effectiveness.