CVE-2025-66298 (GCVE-0-2025-66298)

Vulnerability from cvelistv5 – Published: 2025-12-01 21:10 – Updated: 2025-12-02 14:07
VLAI
Title
Grav is vulnerable to Server-Side Template Injection (SSTI) via Forms
Summary
Grav is a file-based Web platform. Prior to 1.8.0-beta.27, having a simple form on site can reveal the whole Grav configuration details (including plugin configuration details) by using the correct POST payload to exploit a Server-Side Template (SST) vulnerability. Sensitive information may be contained in the configuration details. This vulnerability is fixed in 1.8.0-beta.27.
SSVC
Exploitation: poc Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-12-02 14:06 UTC
CWE
  • CWE-1336 - Improper Neutralization of Special Elements Used in a Template Engine
References
Impacted products
Vendor Product Version CPE status
getgrav grav Affected: < 1.8.0-beta.27
guessed Create a notification for this product.
Show details on NVD website

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}



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Tags
Taxonomy of the tags.


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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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