CVE-2025-29784 (GCVE-0-2025-29784)

Vulnerability from cvelistv5 – Published: 2025-04-18 15:50 – Updated: 2025-04-18 16:05
VLAI
Title
NamelessMC Has Lack of Length Validation for s Parameter in GET Requests
Summary
NamelessMC is a free, easy to use & powerful website software for Minecraft servers. In version 2.1.4 and prior, the s parameter in GET requests for forum search functionality lacks length validation, allowing attackers to submit excessively long search queries. This oversight can lead to performance degradation and potential denial-of-service (DoS) attacks. This issue has been patched in version 2.2.0.
Severity
7.5 (High)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
SSVC
Exploitation: poc Automatable: yes Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-04-18 16:05 UTC
CWE
  • CWE-130 - Improper Handling of Length Parameter Inconsistency
  • CWE-20 - Improper Input Validation
  • CWE-1284 - Improper Validation of Specified Quantity in Input
Assigner
References
Impacted products
Vendor Product Version
NamelessMC Nameless Affected: < 2.2.0
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.


Detection rules are retrieved from Rulezet.


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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.