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CVE-2026-59193 (GCVE-0-2026-59193)

Vulnerability from cvelistv5 – Published: 2026-07-10 16:35 – Updated: 2026-07-10 19:04
VLAI
Title
Grav CMS — Improper Handling of Highly Compressed Data in Installer::unZip()
Summary
Grav is a file-based Web platform. Prior to 2.0.0, an authenticated admin.super user can crash Grav or fill the disk by uploading a specially crafted ZIP archive through the Direct Install tool because Installer::unZip calls ZipArchive::extractTo without limits on uncompressed size, entry count, or directory depth. This issue is fixed in version 2.0.0.
SSVC
Exploitation: poc Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-10 19:04 UTC
CWE
  • CWE-409 - Improper Handling of Highly Compressed Data (Data Amplification)
Impacted products
Vendor Product Version CPE status
getgrav grav Affected: >= 1.0.0, < 2.0.0
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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