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CVE-2023-36260 (GCVE-0-2023-36260)

Vulnerability from cvelistv5 – Published: 2024-01-30 00:00 – Updated: 2024-10-18 14:09 Disputed
VLAI
Summary
An issue was discovered in the Feed Me plugin 4.6.1 for Craft CMS. It allows remote attackers to cause a denial of service (DoS) via crafted strings to Feed-Me Name and Feed-Me URL fields, due to saving a feed using an Asset element type with no volume selected. NOTE: this is not a report about code provided by the Craft CMS product; it is only a report about the Feed Me plugin. NOTE: a third-party report states that commit b5d6ede51848349bd91bc95fec288b6793f15e28 has "nothing to do with security."
Severity
No CVSS data available.
SSVC
Exploitation: none Automatable: yes Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-01-30 16:40 UTC
CWE
  • n/a
Assigner
References
Show details on NVD website
To clipboard 

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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.


Detection rules are retrieved from Rulezet.


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.