CVE-2025-52897 (GCVE-0-2025-52897)

Vulnerability from cvelistv5 – Published: 2025-07-30 14:07 – Updated: 2025-07-30 19:28
VLAI
Title
GLPI is vulnerable to XSS and open redirection attacks through planning feature
Summary
GLPI is a Free Asset and IT Management Software package. In versions 9.1.0 through 10.0.18, an unauthenticated user can send a malicious link to attempt a phishing attack from the planning feature. This is fixed in version 10.0.19.
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-07-30 19:28 UTC
CWE
  • CWE-80 - Improper Neutralization of Script-Related HTML Tags in a Web Page (Basic XSS)
  • CWE-601 - URL Redirection to Untrusted Site ('Open Redirect')
References
Impacted products
Vendor Product Version CPE status
glpi-project glpi Affected: >= 9.1.0, < 10.0.19
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

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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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