How severe is GHSA-fmhh-rw3h-785m?

No CVSS score has been assigned to GHSA-fmhh-rw3h-785m yet. Review the advisory details and affected package list to assess your exposure.

Which packages are affected by GHSA-fmhh-rw3h-785m?

GHSA-fmhh-rw3h-785m affects the following packages: github.com/bep/imagemeta (Go). Ecosystems affected: Go.

How do I fix GHSA-fmhh-rw3h-785m?

Update github.com/bep/imagemeta to 0.11.0 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-fmhh-rw3h-785m is resolved across your whole dependency graph.

How do I detect GHSA-fmhh-rw3h-785m in my Go dependencies?

Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for github.com/bep/imagemeta, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.

How do I mitigate GHSA-fmhh-rw3h-785m if there is no patch (or I can't update yet)?

Cap what an attacker can consume: apply request size, rate and timeout limits in front of the affected component, and run it with memory and CPU limits so exhaustion degrades one worker rather than the whole service.

Is GHSA-fmhh-rw3h-785m actively exploited in the wild?

No public exploit code has been indexed for GHSA-fmhh-rw3h-785m yet. This does not mean the vulnerability cannot be exploited — absence of public exploits does not imply safety. Apply the recommended fix and use O3 Security to monitor your exposure.

What is the EPSS score for GHSA-fmhh-rw3h-785m?

GHSA-fmhh-rw3h-785m has an EPSS (Exploit Prediction Scoring System) score of 0.2%, placing it in the 8th percentile of all CVEs. EPSS is maintained by FIRST.org and estimates the probability that a vulnerability will be exploited in the wild within the next 30 days. This score indicates relatively lower exploitation probability, though the CVSS severity should still guide your patching priority.

What type of vulnerability is GHSA-fmhh-rw3h-785m?

GHSA-fmhh-rw3h-785m is classified as CWE-770 (CWE-770). This weakness type describe the underlying flaw category, which helps determine the potential impact and the right class of mitigation.

When was GHSA-fmhh-rw3h-785m published, and has it been updated?

GHSA-fmhh-rw3h-785m was published on April 9, 2025 and was last updated on September 10, 2026. Advisory data evolves as severity scores, affected ranges, and exploit intelligence are revised — always check the latest version of the advisory before acting.

🐹 Go

Not in CISA KEV

bep/imagemeta allows a potentially large memory allocation in PNG and WebP parsingGHSA-fmhh-rw3h-785m

Fix: bep/imagemeta@ee0de9b

GHSA-fmhh-rw3h-785m is a CWE-770 vulnerability in github.com/bep/imagemeta. A fix is available for github.com/bep/imagemeta — see the affected versions and patch details below.

Also known asCVE-2025-32025GO-2025-3599

Published

Apr 9, 2025

Updated

Sep 10, 2026

Affected

1 pkg

Patched

1 / 1

Exploits

None indexed

Exploitation data as of Nov 6, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

Exploitation Status

No confirmed exploitation observed yet

CISA’s own triage has not observed active exploitation or public proof-of-concept code for this CVE as of its last assessment.

Exploitation and automatability from CISA’s SSVC triage for GHSA-fmhh-rw3h-785m.

EPSS Exploitation Probability

via FIRST.org ↗

0.2%probability of exploitation in next 30 days

Lower Risk0.00%

Lower risk than most CVEs8th percentile — riskier than 8% of all scored CVEsHighest risk

Probability of exploitation in the next 30 days, from FIRST.org EPSS.

Real-World Exposure

1 pkg affected

🐹github.com/bep/imagemeta

Real-time download stats are indexed for npm and PyPI packages. This vulnerability affects Go packages — download data is not available via public APIs for these ecosystems.

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.

Affected Packages

1 total 1 fixed

Ecosystem	Package	Vulnerable range	Fix
🐹Go	`github.com/bep/imagemeta`	all versions	0.11.0`go get github.com/bep/imagemeta@v0.11.0`

Detection & mitigation playbook

Open-source dependency

Detect
Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for github.com/bep/imagemeta, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.
Fix
Update github.com/bep/imagemeta to 0.11.0 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-fmhh-rw3h-785m is resolved across your whole dependency graph.
Workarounds
Cap what an attacker can consume: apply request size, rate and timeout limits in front of the affected component, and run it with memory and CPU limits so exhaustion degrades one worker rather than the whole service.

Frequently Asked Questions

### Impact 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. ### Patches `v0.11.0` added a 10 MB upper limit.

O3 Security · Impact-Aware SCA

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