CVE Catalog

CVE-2026-107224

MediumCVSS 6.5
Published: Updated: Translated: NVD NIST

Exploitation Probability (EPSS)

Low risk
0.36%

27th percentile - higher than 27% of all known CVEs

Summary

Excelize is a Go language library for reading and writing Microsoft Excel spreadsheets. From 2.1.0 to 2.11.0, a Zip64 uncompressed size with the high bit set is converted from uint64 to a negative int64 before signed size-limit checks and allocation. ReadZipReader obtains UncompressedSize64 through FileInfo.Size and passes the wrapped negative value to readFile. When a crafted Zip64 entry declares an uncompressed size from 2^63 through 2^64-1 and the workbook is opened, the negative size bypasses unzip limits and reaches make as a negative capacity, allowing an attacker to panic during workbook opening. No fixed version is available as of this review.

Risk Assessment

An attacker can supply a crafted XLSX file that, when opened by an application using Excelize, causes a panic and process termination, leading to denial of service. The risk applies to applications processing untrusted Excel files.

Recommendation

No fix is available. Monitor Excelize releases and update to a fixed version as soon as it becomes available. Consider validating input XLSX files before processing.

Other vulnerabilities in Excelize

See all
Original NVD description (English source)

Excelize is a Go language library for reading and writing Microsoft Excel spreadsheets. From 2.1.0 to 2.11.0, a Zip64 uncompressed size with the high bit set is converted from uint64 to a negative int64 before signed size-limit checks and allocation. ReadZipReader obtains UncompressedSize64 through FileInfo.Size and passes the wrapped negative value to readFile. When a crafted Zip64 entry declares an uncompressed size from 2^63 through 2^64-1 and the workbook is opened, the negative size bypasses unzip limits and reaches make as a negative capacity, allowing an attacker to panic during workbook opening. No fixed version is available as of this review.

Vulnerability data from NVD (NIST) · CISA KEV · EPSS