CVEPublished 2026-01-30Modified 2026-06-301 article on news6 live referencesNVD data

CVE-2025-24293

Vulnerability data via NVD (ingested)

CVSS v3.1
8.1
HIGH
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H
EPSS percentile
Description

# Active Storage allowed transformation methods potentially unsafe Active Storage attempts to prevent the use of potentially unsafe image transformation methods and parameters by default. The default allowed list contains three methods allow for the circumvention of the safe defaults which enables potential command injection vulnerabilities in cases where arbitrary user supplied input is accepted as valid transformation methods or parameters. Impact ------ This vulnerability impacts applications that use Active Storage with the image_processing processing gem in addition to mini_magick as the image processor. Vulnerable code will look something similar to this: ``` <%= image_tag blob.variant(params[:t] => params[:v]) %> ``` Where the transformation method or its arguments are untrusted arbitrary input. All users running an affected release should either upgrade or use one of the workarounds immediately. Workarounds ----------- Consuming user supplied input for image transformation methods or their parameters is unsupported behavior and should be considered dangerous. Strict validation of user supplied methods and parameters should be performed as well as having a strong [ImageMagick security policy](https://imagemagick.org/script/security-policy.php) deployed. Credits ------- Thank you [lio346](https://hackerone.com/lio346) for reporting this!

Timeline
Published 2026-01-30
Modified 2026-06-30

External references

Search for exposed instances

Shodan + Censys queries derived from NVD's CPE data. The vuln tag catches assets Shodan has explicitly linked to this CVE; the product / banner fingerprints find exposed instances even when the vuln tag was never applied (which is common).

More intel sources (5)

Known PoCs on GitHub

No public proof-of-concept repositories found for CVE-2025-24293 on GitHub.