Apache POI up to 5.3.x OOXML File Parser information disclosure

| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 3.4 | $0-$5k | 0.00 |
Summary
A vulnerability was found in Apache POI up to 5.3.x. It has been classified as problematic. This vulnerability affects unknown code of the component OOXML File Parser. This manipulation causes information disclosure. The identification of this vulnerability is CVE-2025-31672. There is no exploit available. Upgrading the affected component is recommended.
Details
A vulnerability has been found in Apache POI up to 5.3.x and classified as problematic. Affected by this vulnerability is an unknown code block of the component OOXML File Parser. The manipulation with an unknown input leads to a information disclosure vulnerability. The CWE definition for the vulnerability is CWE-200. The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information. As an impact it is known to affect confidentiality. The summary by CVE is:
Improper Input Validation vulnerability in Apache POI. The issue affects the parsing of OOXML format files like xlsx, docx and pptx. These file formats are basically zip files and it is possible for malicious users to add zip entries with duplicate names (including the path) in the zip. In this case, products reading the affected file could read different data because 1 of the zip entries with the duplicate name is selected over another but different products may choose a different zip entry. This issue affects Apache POI poi-ooxml before 5.4.0. poi-ooxml 5.4.0 has a check that throws an exception if zip entries with duplicate file names are found in the input file. Users are recommended to upgrade to version poi-ooxml 5.4.0, which fixes the issue. Please read https://poi.apache.org/security.html for recommendations about how to use the POI libraries securely.
The advisory is shared at lists.apache.org. This vulnerability is known as CVE-2025-31672 since 03/31/2025. Neither technical details nor an exploit are publicly available. MITRE ATT&CK project uses the attack technique T1592 for this issue.
The vulnerability scanner Nessus provides a plugin with the ID 234194 (Linux Distros Unpatched Vulnerability : CVE-2025-31672), which helps to determine the existence of the flaw in a target environment.
Upgrading to version 5.4.0 eliminates this vulnerability.
The vulnerability is also documented in the databases at Tenable (234194) and CERT Bund (WID-SEC-2025-2154). Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
Affected
- IBM InfoSphere Information Server
Product
Vendor
Name
Version
License
Website
- Vendor: https://www.apache.org/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 3.5VulDB Meta Temp Score: 3.4
VulDB Base Score: 3.5
VulDB Temp Score: 3.4
VulDB Vector: 🔍
VulDB Reliability: 🔍
CVSSv2
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Information disclosureCWE: CWE-200 / CWE-284 / CWE-266
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Partially
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
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Nessus ID: 234194
Nessus Name: Linux Distros Unpatched Vulnerability : CVE-2025-31672
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔍
Upgrade: POI 5.4.0
Timeline
03/31/2025 🔍04/08/2025 🔍
04/08/2025 🔍
10/01/2025 🔍
Sources
Vendor: apache.orgAdvisory: lists.apache.org
Status: Confirmed
CVE: CVE-2025-31672 (🔍)
GCVE (CVE): GCVE-0-2025-31672
GCVE (VulDB): GCVE-100-303889
CERT Bund: WID-SEC-2025-2154 - IBM InfoSphere Information Server: Mehrere Schwachstellen
Entry
Created: 04/08/2025 17:57Updated: 10/01/2025 05:54
Changes: 04/08/2025 17:57 (53), 04/14/2025 22:11 (2), 05/24/2025 01:58 (2), 10/01/2025 05:54 (7)
Complete: 🔍
Cache ID: 216::103
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
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