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CVE-2016-4864 (GCVE-0-2016-4864)

Vulnerability from cvelistv5 – Published: 2017-05-12 18:00 – Updated: 2024-08-06 00:46
VLAI
Summary
H2O versions 2.0.3 and earlier and 2.1.0-beta2 and earlier allows remote attackers to cause a denial-of-service (DoS) via format string specifiers in a template file via fastcgi, mruby, proxy, redirect or reproxy.
Severity
7.5 (High)
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
CWE
  • Format String Vulnerability
Assigner
References
URL Tags
https://github.com/h2o/h2o/issues/1077 x_refsource_CONFIRM
https://jvn.jp/en/jp/JVN94779084/index.html third-party-advisoryx_refsource_JVN
Impacted products
Vendor Product Version CPE status
Kazuho Oku H2O Affected: versions 2.0.3 and earlier
Affected: versions 2.1.0-beta2 and earlier
guessed Create a notification for this product.
Date Public
2016-09-15 00:00
Show details on NVD website
To clipboard 

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      "cve": "CVE-2016-4864",
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      "initial_release_date": "2023-02-15T05:02:16Z",
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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.