CVE-2026-31878 (GCVE-0-2026-31878)

Vulnerability from cvelistv5 – Published: 2026-03-11 18:32 – Updated: 2026-03-11 19:54
VLAI
Title
Frappe: Possible SSRF by any authenticated user
Summary
Frappe is a full-stack web application framework. Prior to 14.100.1, 15.100.0, and 16.6.0, a malicious user could send a crafted request to an endpoint which would lead to the server making an HTTP call to a service of the user's choice. This vulnerability is fixed in 14.100.1, 15.100.0, and 16.6.0.
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-03-11 19:46 UTC
CWE
  • CWE-918 - Server-Side Request Forgery (SSRF)
References
Impacted products
Vendor Product Version CPE status
frappe frappe Affected: >= 16.0.0, < 16.6.0
Affected: >= 15.0.0, < 15.100.0
Affected: < 14.100.1
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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