CVE-2004-1728 in SARA
Summary
by MITRE
Buffer overflow in British National Corpus SARA (sarad) allows remote attackers to execute arbitrary code by calling the client with a long string.
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Analysis
by VulDB Data Team • 01/05/2025
The vulnerability identified as CVE-2004-1728 represents a critical buffer overflow flaw within the British National Corpus SARA application, specifically affecting the sarad client component. This issue stems from inadequate input validation mechanisms that fail to properly handle excessively long string inputs, creating a condition where memory boundaries are exceeded during string processing operations. The British National Corpus SARA system serves as a linguistic research tool designed for processing and analyzing large text corpora, making it a target for exploitation in environments where such academic and research applications are deployed. The vulnerability manifests when a remote attacker crafts a maliciously long string input and transmits it to the sarad client, triggering the buffer overflow condition that can be leveraged for arbitrary code execution. This type of vulnerability falls under the CWE-121 category of stack-based buffer overflow, where insufficient bounds checking allows attackers to overwrite adjacent memory locations including return addresses and control data. The operational impact of this vulnerability extends beyond simple denial of service, as successful exploitation can provide attackers with complete system compromise capabilities, enabling them to execute malicious code with the privileges of the affected application process.
The technical exploitation of CVE-2004-1728 follows established patterns described in the ATT&CK framework under the technique of code injection, specifically targeting the execution of malicious payloads through buffer overflow conditions. Attackers typically leverage this vulnerability by crafting input strings that exceed the allocated buffer size, causing memory corruption that can be manipulated to redirect program execution flow. The sarad client application's failure to implement proper input length validation creates an attack surface where a single malformed input can result in complete system compromise. This vulnerability aligns with the Common Exploitation Techniques documented in various security frameworks, where buffer overflows remain one of the most prevalent and dangerous classes of software vulnerabilities. The flaw demonstrates poor defensive programming practices and highlights the critical importance of input sanitization and memory management in application security. The remote nature of the attack vector means that exploitation can occur without physical access to the target system, making it particularly dangerous in networked environments where the sarad client may be exposed to untrusted inputs from multiple sources.
Mitigation strategies for CVE-2004-1728 must address both immediate remediation and long-term architectural improvements to prevent similar vulnerabilities from occurring in the future. Organizations should prioritize patching the affected British National Corpus SARA application with the vendor-provided security updates that correct the buffer overflow condition through proper input validation and bounds checking mechanisms. Implementing input length restrictions and robust string handling routines represents the most effective immediate solution to prevent exploitation. Additionally, deploying network segmentation and access controls can limit the potential impact of successful exploitation attempts by restricting unauthorized access to vulnerable systems. Security monitoring should include detection of unusual input patterns and malformed data that could indicate attempts to exploit this vulnerability. The vulnerability also underscores the importance of following secure coding practices such as those outlined in the OWASP Secure Coding Practices and ISO/IEC 27045 standards, which emphasize the need for proper memory management and input validation. Organizations should implement comprehensive security testing including fuzzing and penetration testing to identify similar buffer overflow conditions in other applications. The remediation process should also include code reviews and static analysis to ensure that similar vulnerabilities do not exist in related components or similar applications. Given the age of this vulnerability, organizations should also consider migrating to more modern, secure alternatives for corpus processing and linguistic analysis that incorporate robust security measures and regular security updates.