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exceljs-hardened EUVDEUVD-2026-64681

| CVE-2026-78206 HIGH
Improper Handling of Highly Compressed Data (Data Amplification) (CWE-409)
2026-08-24 VulnCheck GHSA-r7gv-hxj8-94c4
8.7
CVSS 4.0 · Vendor: VulnCheck
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Severity by source

Vendor (VulnCheck) PRIMARY
8.7 HIGH
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
vuln.today AI
7.5 HIGH

Network-delivered upload with no authentication or complexity barriers; scope unchanged; impact is availability-only with no confidentiality or integrity exposure.

3.1 AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
4.0 AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N

Primary rating from Vendor (VulnCheck).

CVSS VectorVendor: VulnCheck

Attack Vector
Network
Attack Complexity
Low
Privileges Required
None
User Interaction
None
Scope
X

Lifecycle Timeline

2
Analysis Generated
Aug 24, 2026 - 01:03 vuln.today
CVE Published
Aug 24, 2026 - 00:30 cve.org
HIGH 8.7

DescriptionCVE.org

exceljs-hardened before 5.0.0 decompresses all entries from supplied xlsx archives into memory without limits on entry size, total size, or compression ratio. Attackers can upload highly compressed workbooks that expand to gigabytes in memory, exhausting available resources and causing denial of service.

AnalysisAI

Unbounded xlsx decompression in exceljs-hardened before 5.0.0 allows unauthenticated remote attackers to exhaust server memory and cause denial of service by uploading a crafted zip-bomb workbook. The CVSS 4.0 score of 8.7 (AV:N/AC:L/AT:N/PR:N/UI:N/VA:H) reflects that exploitation requires no authentication, no special configuration, and no victim interaction beyond the server automatically parsing the uploaded file. No active exploitation has been confirmed (no CISA KEV listing) and no public exploit has been identified at time of analysis, but the zip-bomb technique targeting archive parsers is well-documented and requires minimal attacker skill.

Technical ContextAI

xlsx workbooks are ZIP archives, and the exceljs parser (CPE: cpe:2.3:a:exceljs:exceljs:*:*:*:*:*:*:*:*) reads all compressed entries into memory during workbook processing. CWE-409 (Improper Handling of Highly Compressed Data) describes this class of flaw: an attacker crafts an archive with an extreme compression ratio where a small on-disk payload expands to gigabytes in memory. The vulnerable code path is visible in the upstream exceljs repository at xlsx.js lines 257-281, which decompresses entries without enforcing any limit on individual entry size, total uncompressed size, or compression ratio. exceljs-hardened, a security-focused fork of exceljs, inherited this unbounded decompression behavior in all versions prior to 5.0.0.

RemediationAI

Upgrade exceljs-hardened to version 5.0.0 or later, which introduces enforcement of limits on per-entry decompressed size, total uncompressed size, and compression ratio. Full details are in the maintainer advisory at https://github.com/mateocallec/exceljs-hardened/security/advisories/GHSA-7cvf-3r55-r39q. If immediate upgrade is not feasible, apply compensating controls at the application or infrastructure layer: enforce a strict maximum file size on xlsx uploads before passing them to the parser (rejecting files above a reasonable threshold such as 10 MB prevents delivery of maximally compressed payloads, with no impact on legitimate workbooks within typical size bounds). Additionally, run xlsx parsing in an isolated process or container subject to an OS-level memory cap (e.g., via cgroup memory limits) so that a single malicious upload cannot exhaust host RAM. Note that file size limits alone do not fully eliminate risk if an attacker can craft a maximally compressed payload within the allowed limit; process isolation provides defense-in-depth.

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EUVD-2026-64681 vulnerability details – vuln.today

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