CVE-2025-32025 bep/imagemeta allows a potentially large memory allocation in PNG and WebP parsing
Attackers can cause denial of service via large memory allocation in PNG and WebP parsing by providing malicious image files to the imagemeta library.
- Exploited in the wild
- Not known
- Login needed
- Not needed
- Attackable
- Local or same network only
- Victim action needed
- Not needed
- Fix
- Available
What is CVE-2025-32025?
CVE-2025-32025 is a medium-severity denial of service vulnerability in bep imagemeta, published on 8 Apr 2025. It can only be exploited from the same machine or local network, with no action from the victim.
Official 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.
Weakness: CWE-770
Which versions are affected by CVE-2025-32025?
3 open source packages ship an affected version, including github.com/bep/imagemeta.
| Package | Affected | Fixed in |
|---|---|---|
github.com/bep/imagemeta Go | All versions | 0.11.0 |
github.com/bep/imagemeta Go | All versions | 0.11.0 |
github.com/bep/imagemeta Go | All versions | 0.11.0 |
How do I fix CVE-2025-32025?
Upgrade github.com/bep/imagemeta to 0.11.0 or later.
Upgrade, then put limits on request size, rate and nesting depth so one client cannot exhaust the service. More about Denial of service.
Is CVE-2025-32025 being exploited?
There is no known exploitation of CVE-2025-32025 in the wild and no public exploit code.
Sources
Also known as GHSA-fmhh-rw3h-785m, GO-2025-3599.