CVE-2025-32025
bep/imagemeta allows a potentially large memory allocation in PNG and WebP parsing
Description
bep/imagemeta is a Go library for reading EXIF, IPTC and XMP image meta data from JPEG, TIFF, PNG, and WebP files. The buffer created for parsing metadata for PNG and WebP images was only bounded by their input data type, which could lead to potentially large memory allocation, and unreasonably high for image metadata. Before v0.11.0, If you didn't trust the input images, this could be abused to construct denial-of-service attacks. v0.11.0 added a 10 MB upper limit.
INFO
Published Date :
April 8, 2025, 4:15 p.m.
Last Modified :
June 17, 2026, 9:11 a.m.
Remotely Exploit :
No
Source :
[email protected]
CVSS Scores
| Score | Version | Severity | Vector | Exploitability Score | Impact Score | Source |
|---|---|---|---|---|---|---|
| CVSS | 134c704f-9b21-4f2e-91b3-4a467353bcc0 | |||||
| CVSS 4.0 | MEDIUM | [email protected] |
Solution
- Update bep/imagemeta library to version 0.11.0 or later.
References to Advisories, Solutions, and Tools
Here, you will find a curated list of external links that provide in-depth
information, practical solutions, and valuable tools related to
CVE-2025-32025.
| URL | Resource |
|---|---|
| https://github.com/bep/imagemeta/commit/ee0de9b029f4e82106729f69559f27c9a404229d | |
| https://github.com/bep/imagemeta/security/advisories/GHSA-fmhh-rw3h-785m |
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2025-32025 is
associated with the following CWEs:
Common Attack Pattern Enumeration and Classification (CAPEC)
Common Attack Pattern Enumeration and Classification
(CAPEC)
stores attack patterns, which are descriptions of the common attributes and
approaches employed by adversaries to exploit the CVE-2025-32025
weaknesses.
We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2025-32025 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2025-32025 vulnerability over time.
Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.
-
CVE Modified by [email protected]
Jun. 17, 2026
Action Type Old Value New Value Added Affected [{'vendor': 'bep', 'product': 'imagemeta', 'versions': [{'status': 'affected', 'version': '< v0.11.0'}]}] -
CVE Modified by 134c704f-9b21-4f2e-91b3-4a467353bcc0
Jun. 17, 2026
Action Type Old Value New Value Added SSVC {'id': 'CVE-2025-32025', 'role': 'CISA Coordinator', 'options': [{'exploitation': 'none'}, {'automatable': 'no'}, {'technicalImpact': 'partial'}], 'version': '2.0.3', 'timestamp': '2025-04-08T15:37:48.564851Z'} -
New CVE Received by [email protected]
Apr. 08, 2025
Action Type Old Value New Value Added Description bep/imagemeta is a Go library for reading EXIF, IPTC and XMP image meta data from JPEG, TIFF, PNG, and WebP files. The buffer created for parsing metadata for PNG and WebP images was only bounded by their input data type, which could lead to potentially large memory allocation, and unreasonably high for image metadata. Before v0.11.0, If you didn't trust the input images, this could be abused to construct denial-of-service attacks. v0.11.0 added a 10 MB upper limit. Added CVSS V4.0 AV:L/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 Added CWE CWE-770 Added Reference https://github.com/bep/imagemeta/commit/ee0de9b029f4e82106729f69559f27c9a404229d Added Reference https://github.com/bep/imagemeta/security/advisories/GHSA-fmhh-rw3h-785m