6.9

CVE-2025-32024: bep/imagemeta allows excessively large EXIF data structures

Deferred
AliasesGHSA-q7rw-w4cq-2j6wGO-2025-3598CGA-f5j3-mjfp-jvx3
Published 08-04-2025Last modified 08-04-2025

Vulnerability summary

CVE-2025-32024 is a medium (CVSS 6.9) vulnerability in bep imagemeta. EPSS estimates a 0.18% chance of exploitation in the next 30 days, higher than 7.2% of scored vulnerabilities.

Overall risk
28/100
0100
Medium · default modelHow is this calculated?
CVSS score
6.9/10
010
Medium · v4.0 (CVE.org)
EPSS score
0.18%
0%100%
Low · 0.00 pp in 30 days
KEVNot listedNot listed by any tracked catalog.
RansomwareNot flaggedNo ransomware use recorded.
Public exploits0No public exploits recorded

Advisory lineage

Upstream 0 · Downstream 1 · Related 10

Timeline

  1. 08-04-2025
    PublishedVulnerability first disclosed.
  2. 08-04-2025
    Last modifiedVulnerability information updated.

Description

bep/imagemeta is a Go library for reading EXIF, IPTC and XMP image meta data from JPEG, TIFF, PNG, and WebP files. The EXIF data format allows for defining excessively large data structures in relatively small payloads. Before v0.10.0, If you didn't trust the input images, this could be abused to construct denial-of-service attacks. v0.10.0 added LimitNumTags (default 5000) and LimitTagSize (default 10000) options.

CVSS metrics

4 scores · 4 sources · 1 version

EPSS trend

Probability

0.18%

Chance of exploitation in the next 30 days

Percentile

7%

Versus all other CVEs

30-day change

No change 0.00 pp

From 0.18% on 22-09-2026

22-09-202622-10-2026

Known exploited

Compare KEV catalogs
CISA KEV

Not in the CISA KEV catalog.

ENISA CNW

Not in the ENISA CNW catalog.

CIRCL

Not in the CIRCL catalog.

Public exploits

0 found

No public exploits indexed.

Weaknesses

CWE · root cause

Affected systems

Chainguard2 products
  • mattermost-fips-10.5< 10.5.4-r1
  • mattermost-fips-10.5-compat< 10.5.4-r1
Bep1 product
Github.com/bep1 product
  • imagemeta< 0.10.0

3 vendors · 4 products

References

5 links