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CVE-1999-0991: Buffer overflow in GoodTech Telnet Server NT allows remote users to cause a denial of service via a

Medium
Published: Mon Dec 06 1999 (12/06/1999, 05:00:00 UTC)
Source: NVD
Vendor/Project: goodtech
Product: telnet_server_nt

Description

Buffer overflow in GoodTech Telnet Server NT allows remote users to cause a denial of service via a long login name.

AI-Powered Analysis

AILast updated: 07/01/2025, 13:09:46 UTC

Technical Analysis

CVE-1999-0991 is a buffer overflow vulnerability found in GoodTech Telnet Server NT version 2.2.1. This vulnerability arises when the server processes a login name that exceeds the expected length, causing a buffer overflow condition. Specifically, a remote attacker can send a specially crafted login name string that is longer than the buffer allocated by the server, leading to memory corruption. The immediate consequence of this overflow is a denial of service (DoS), as the server crashes or becomes unresponsive. The vulnerability does not impact confidentiality or integrity directly, as it does not allow arbitrary code execution or data leakage, but it disrupts availability by crashing the telnet service. The vulnerability is remotely exploitable without authentication, making it accessible to any attacker who can reach the telnet server. The CVSS score of 5.0 (medium severity) reflects the ease of exploitation and the impact limited to availability. No patch is available for this vulnerability, and there are no known exploits in the wild. Given the age of the vulnerability (published in 1999) and the obsolescence of the GoodTech Telnet Server NT product, this vulnerability is primarily of historical interest but could still pose risks in legacy environments that continue to run this software without mitigation.

Potential Impact

For European organizations, the primary impact of CVE-1999-0991 is the potential disruption of services relying on GoodTech Telnet Server NT 2.2.1. Telnet is an outdated protocol largely replaced by SSH, but some legacy industrial control systems, network devices, or specialized infrastructure might still use this server. A successful exploitation leads to denial of service, which could interrupt remote management or monitoring capabilities. This disruption could affect operational continuity, especially in critical infrastructure sectors such as manufacturing, utilities, or transportation that may still rely on legacy telnet services. While the vulnerability does not allow data theft or system takeover, the loss of availability can cause operational delays, increased downtime, and potential safety risks if remote access to control systems is lost. European organizations with legacy systems should be particularly cautious, as unplanned outages in critical sectors can have cascading effects on supply chains and public services.

Mitigation Recommendations

Given that no patch is available for this vulnerability, mitigation must focus on compensating controls. First, organizations should identify any instances of GoodTech Telnet Server NT 2.2.1 in their environment through asset inventory and network scanning. If found, immediate steps should be taken to isolate these servers from untrusted networks, ideally restricting access to trusted administrative networks only. Network-level protections such as firewalls and intrusion prevention systems (IPS) should be configured to block or alert on suspicious telnet login attempts with unusually long usernames. Where possible, replace the GoodTech Telnet Server with modern, supported remote access solutions such as SSH servers that provide encrypted and more secure communication. If replacement is not feasible, consider deploying application-layer gateways or protocol proxies that can sanitize input and prevent buffer overflow attempts. Regular monitoring of system logs and network traffic for anomalies related to telnet login attempts is also recommended. Finally, develop incident response plans that include procedures for handling telnet service outages to minimize operational impact.

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Threat ID: 682ca32cb6fd31d6ed7df4bf

Added to database: 5/20/2025, 3:43:40 PM

Last enriched: 7/1/2025, 1:09:46 PM

Last updated: 8/14/2025, 9:15:12 PM

Views: 10

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