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CVE-2024-48877: High-Severity Heap Buffer Overflow Vulnerability in xls2csv Utility

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Overview

The cybersecurity landscape is constantly evolving, and with it, the emergence of new vulnerabilities becomes inevitable. One such vulnerability, CVE-2024-48877, has been identified as a significant threat to the xls2csv utility. This software utility, used for converting Excel files to Comma-separated values (CSV), is widely used in data processing and management. With a high CVSS Severity Score of 8.4, this vulnerability has the potential to compromise systems and leak sensitive data.
The vulnerability originates from a memory corruption issue in the Shared String Table Record Parser implementation in xls2csv utility version 0.95. This risk could potentially impact a broad range of sectors, notably those reliant on data processing and transformation. Understanding and mitigating this vulnerability is crucial for all organizations that leverage this utility in their operations.

Vulnerability Summary

CVE ID: CVE-2024-48877
Severity: High (8.4 CVSS Score)
Attack Vector: Local File
Privileges Required: User Level
User Interaction: Required
Impact: System compromise and potential data leakage

Affected Products

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Product | Affected Versions

xls2csv | 0.95

How the Exploit Works

The vulnerability is rooted in a memory corruption issue within the Shared String Table Record Parser implementation of the xls2csv utility. An attacker can exploit this vulnerability by crafting a malformed file that causes a heap buffer overflow when processed by the xls2csv utility. This overflow can subsequently be used to execute arbitrary code or manipulate the behavior of the system, potentially leading to total system compromise or data leakage.

Conceptual Example Code

The following is a conceptual illustration of how this exploit could theoretically be performed:

# Malicious user creates a specially crafted file
echo "malformed_data" > malformed_file.xls
# User tricks the target into running the xls2csv utility on the malformed file
xls2csv malformed_file.xls > output.csv

In this example, `malformed_data` represents the crafted data that would cause a heap buffer overflow when the xls2csv utility attempts to parse it. This example is highly simplified and the actual exploit would likely involve much more complex manipulation of the file contents.

Mitigation Guidance

To mitigate this vulnerability, users are advised to apply the vendor-provided patch immediately. If a patch is not yet available or cannot be applied immediately, a Web Application Firewall (WAF) or Intrusion Detection System (IDS) can be used as a temporary measure. These tools can detect and block attempts to exploit this vulnerability, providing a layer of protection until the patch can be applied. As always, users should remain vigilant and practice good cybersecurity hygiene, such as avoiding untrusted files and regularly updating their software.

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Disclaimer:

The information and code presented in this article are provided for educational and defensive cybersecurity purposes only. Any conceptual or pseudocode examples are simplified representations intended to raise awareness and promote secure development and system configuration practices.

Do not use this information to attempt unauthorized access or exploit vulnerabilities on systems that you do not own or have explicit permission to test.

Ameeba and its authors do not endorse or condone malicious behavior and are not responsible for misuse of the content. Always follow ethical hacking guidelines, responsible disclosure practices, and local laws.
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