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CVE-2026-41172 (GCVE-0-2026-41172)

Vulnerability from cvelistv5 – Published: 2026-04-22 21:22 – Updated: 2026-04-23 12:52
VLAI
Title
Squidex vulnerable to Server-Side Request Forgery (SSRF) via URL-based asset upload (/api/apps/{app}/assets)
Summary
Squidex is an open source headless content management system and content management hub. Prior to version 7.23.0, an SSRF vulnerability allows a user with asset upload permission to force the server to fetch arbitrary URLs, including localhost/private network targets, and persist the response as an asset. Version 7.23.0 contains a fix.
SSVC
Exploitation: poc Automatable: yes Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-04-23 12:52 UTC
CWE
  • CWE-918 - Server-Side Request Forgery (SSRF)
References
Impacted products
Vendor Product Version CPE status
Squidex squidex Affected: < 7.23.0
guessed Create a notification for this product.
Show details on NVD website

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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

Author Source Type Date Other

Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

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Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.


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