CVE-2024-48877: CWE-680: Integer Overflow to Buffer Overflow in xls2csv xls2csv
A memory corruption vulnerability exists in the Shared String Table Record Parser implementation in xls2csv utility version 0.95. A specially crafted malformed file can lead to a heap buffer overflow. An attacker can provide a malicious file to trigger this vulnerability.
AI Analysis
Technical Summary
CVE-2024-48877 is a high-severity memory corruption vulnerability identified in the xls2csv utility version 0.95, specifically within the Shared String Table Record Parser component. The vulnerability stems from an integer overflow that leads to a heap-based buffer overflow when processing specially crafted malformed XLS files. The root cause is classified under CWE-680 (Integer Overflow to Buffer Overflow), where improper handling of integer values during parsing causes the allocation or copying of insufficient buffer sizes, allowing an attacker to overwrite adjacent memory regions. Exploitation does not require user interaction or privileges, as the vulnerability can be triggered simply by processing a malicious XLS file. The CVSS 3.1 base score of 8.4 reflects the critical impact on confidentiality, integrity, and availability, with low attack complexity and no required privileges or user interaction. Although no known exploits are currently reported in the wild, the nature of the vulnerability could allow remote code execution or denial of service if exploited, given that xls2csv is a utility commonly used to convert Excel files to CSV format in automated workflows and data processing pipelines. The lack of available patches at the time of publication increases the urgency for mitigation and risk management.
Potential Impact
For European organizations, the impact of this vulnerability can be significant, especially for those relying on automated data processing systems that utilize xls2csv version 0.95 to convert Excel spreadsheets into CSV files. Successful exploitation could lead to arbitrary code execution, allowing attackers to compromise systems, exfiltrate sensitive data, or disrupt critical business processes. This is particularly concerning for sectors such as finance, healthcare, government, and manufacturing, where Excel files are frequently exchanged and processed. The vulnerability threatens confidentiality by potentially exposing sensitive information, integrity by enabling data manipulation, and availability by causing crashes or denial of service. Additionally, organizations that integrate xls2csv into larger data ingestion or ETL (Extract, Transform, Load) pipelines may face cascading effects impacting multiple systems. Given the low complexity and no need for authentication, attackers could weaponize malicious XLS files delivered via email attachments, file uploads, or shared network drives, increasing the risk of widespread exploitation within European enterprises.
Mitigation Recommendations
European organizations should immediately audit their environments to identify any usage of xls2csv version 0.95, especially in automated data processing or file conversion workflows. Until an official patch is released, practical mitigations include: 1) Implement strict input validation and file integrity checks to block or quarantine suspicious XLS files before processing. 2) Use sandboxing or isolated environments to run xls2csv conversions, limiting the potential impact of exploitation. 3) Replace or upgrade xls2csv to a later, patched version once available, or consider alternative tools with robust security track records. 4) Employ network-level controls such as email filtering and endpoint protection to detect and block malicious XLS files. 5) Monitor logs and system behavior for anomalies indicative of exploitation attempts, including crashes or unexpected process activity related to xls2csv. 6) Educate users about the risks of opening or processing untrusted Excel files, emphasizing caution with files from unknown sources. These targeted measures go beyond generic advice by focusing on the specific attack vector and operational context of xls2csv.
Affected Countries
Germany, France, United Kingdom, Netherlands, Italy, Spain, Poland, Sweden, Belgium, Switzerland
CVE-2024-48877: CWE-680: Integer Overflow to Buffer Overflow in xls2csv xls2csv
Description
A memory corruption vulnerability exists in the Shared String Table Record Parser implementation in xls2csv utility version 0.95. A specially crafted malformed file can lead to a heap buffer overflow. An attacker can provide a malicious file to trigger this vulnerability.
AI-Powered Analysis
Technical Analysis
CVE-2024-48877 is a high-severity memory corruption vulnerability identified in the xls2csv utility version 0.95, specifically within the Shared String Table Record Parser component. The vulnerability stems from an integer overflow that leads to a heap-based buffer overflow when processing specially crafted malformed XLS files. The root cause is classified under CWE-680 (Integer Overflow to Buffer Overflow), where improper handling of integer values during parsing causes the allocation or copying of insufficient buffer sizes, allowing an attacker to overwrite adjacent memory regions. Exploitation does not require user interaction or privileges, as the vulnerability can be triggered simply by processing a malicious XLS file. The CVSS 3.1 base score of 8.4 reflects the critical impact on confidentiality, integrity, and availability, with low attack complexity and no required privileges or user interaction. Although no known exploits are currently reported in the wild, the nature of the vulnerability could allow remote code execution or denial of service if exploited, given that xls2csv is a utility commonly used to convert Excel files to CSV format in automated workflows and data processing pipelines. The lack of available patches at the time of publication increases the urgency for mitigation and risk management.
Potential Impact
For European organizations, the impact of this vulnerability can be significant, especially for those relying on automated data processing systems that utilize xls2csv version 0.95 to convert Excel spreadsheets into CSV files. Successful exploitation could lead to arbitrary code execution, allowing attackers to compromise systems, exfiltrate sensitive data, or disrupt critical business processes. This is particularly concerning for sectors such as finance, healthcare, government, and manufacturing, where Excel files are frequently exchanged and processed. The vulnerability threatens confidentiality by potentially exposing sensitive information, integrity by enabling data manipulation, and availability by causing crashes or denial of service. Additionally, organizations that integrate xls2csv into larger data ingestion or ETL (Extract, Transform, Load) pipelines may face cascading effects impacting multiple systems. Given the low complexity and no need for authentication, attackers could weaponize malicious XLS files delivered via email attachments, file uploads, or shared network drives, increasing the risk of widespread exploitation within European enterprises.
Mitigation Recommendations
European organizations should immediately audit their environments to identify any usage of xls2csv version 0.95, especially in automated data processing or file conversion workflows. Until an official patch is released, practical mitigations include: 1) Implement strict input validation and file integrity checks to block or quarantine suspicious XLS files before processing. 2) Use sandboxing or isolated environments to run xls2csv conversions, limiting the potential impact of exploitation. 3) Replace or upgrade xls2csv to a later, patched version once available, or consider alternative tools with robust security track records. 4) Employ network-level controls such as email filtering and endpoint protection to detect and block malicious XLS files. 5) Monitor logs and system behavior for anomalies indicative of exploitation attempts, including crashes or unexpected process activity related to xls2csv. 6) Educate users about the risks of opening or processing untrusted Excel files, emphasizing caution with files from unknown sources. These targeted measures go beyond generic advice by focusing on the specific attack vector and operational context of xls2csv.
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- talos
- Date Reserved
- 2024-12-11T19:38:57.768Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 683dbfa6182aa0cae249835c
Added to database: 6/2/2025, 3:13:42 PM
Last enriched: 7/3/2025, 3:55:07 PM
Last updated: 8/5/2025, 4:14:54 PM
Views: 11
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