CVE-2001-0636 in Silentrunner
Summary
by MITRE
Buffer overflows in Raytheon SilentRunner allow remote attackers to (1) cause a denial of service in the collector (cle.exe) component of SilentRunner 2.0 via traffic containing long passwords, or (2) execute arbitrary commands via long HTTP queries in the Knowledge Browser component in SilentRunner 2.0 and 2.0.1. NOTE: It is highly likely that this candidate will be split into multiple candidates.
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
Analysis
by VulDB Data Team • 06/27/2021
The CVE-2001-0636 vulnerability represents a critical buffer overflow issue affecting Raytheon SilentRunner 2.0 software, specifically targeting two distinct components that expose different attack surfaces and potential exploitation vectors. This vulnerability resides within the collector component known as cle.exe and the Knowledge Browser component, both of which are integral parts of the SilentRunner security monitoring platform designed for network traffic analysis and intrusion detection. The flaw manifests as a classic buffer overflow condition that occurs when the software processes input data exceeding predetermined buffer boundaries, creating opportunities for both denial of service and arbitrary code execution attacks. The vulnerability's classification as a buffer overflow directly aligns with CWE-121, which describes heap-based buffer overflow conditions where insufficient bounds checking allows attackers to overwrite adjacent memory locations.
The technical exploitation of this vulnerability occurs through carefully crafted input sequences that exceed the allocated buffer sizes in both targeted components. In the collector component, attackers can trigger a denial of service condition by sending traffic containing excessively long passwords, causing the cle.exe process to crash or become unresponsive due to memory corruption. This specific attack vector demonstrates how insufficient input validation in authentication handling can lead to service disruption, potentially allowing attackers to maintain persistent network disruption against security monitoring infrastructure. The more severe exploitation scenario involves the Knowledge Browser component where attackers can inject malicious HTTP queries containing oversized payloads to achieve arbitrary code execution. This represents a privilege escalation opportunity that allows remote attackers to execute commands with the privileges of the affected service, potentially compromising the entire monitoring infrastructure. The attack surface is particularly concerning given that the Knowledge Browser component likely handles web-based queries from remote users, making it accessible over network connections.
The operational impact of CVE-2001-0636 extends beyond immediate service disruption to encompass potential complete system compromise and data exposure within enterprise security monitoring environments. Organizations utilizing SilentRunner 2.0 systems face significant risk of unauthorized access to their network monitoring capabilities, which could enable attackers to bypass security controls, modify log data, or gain persistent access to monitored networks. The vulnerability's potential for remote code execution through HTTP query processing creates a pathway for attackers to establish backdoors, deploy additional malware, or pivot to other systems within the network perimeter. Security operations teams would experience substantial disruption as the denial of service condition could prevent legitimate monitoring activities, while the arbitrary code execution capability could enable attackers to compromise the integrity of security monitoring data and potentially evade detection mechanisms. This vulnerability particularly impacts organizations relying on SilentRunner for critical network security monitoring, as it undermines the fundamental trust in the security infrastructure itself.
Mitigation strategies for CVE-2001-0636 should prioritize immediate patch deployment as the primary defense mechanism, with organizations implementing network segmentation to limit access to vulnerable components. The recommended approach includes applying vendor patches or updates that address the buffer overflow conditions through proper input validation and bounds checking mechanisms. Network administrators should implement additional protective measures such as input filtering at network boundaries, rate limiting for HTTP query processing, and monitoring for anomalous traffic patterns that may indicate exploitation attempts. Security controls should be enhanced through the implementation of intrusion detection systems that can identify and block malicious HTTP queries containing oversized payloads. Organizations should also consider implementing application-level firewalls or web application firewalls to filter incoming requests before they reach vulnerable components. The vulnerability's classification under ATT&CK technique T1203, which covers exploitation for privilege escalation, suggests that defensive measures should include monitoring for unusual process execution patterns and implementing least privilege access controls for the affected software components. Regular security assessments and vulnerability scanning should be conducted to identify similar buffer overflow conditions in other network monitoring and security tools that may be similarly vulnerable to input validation flaws.