CVE-2016-7825 (GCVE-0-2016-7825)

Vulnerability from cvelistv5 – Published: 2017-06-09 16:00 – Updated: 2024-08-06 02:04
VLAI
Summary
Directory traversal vulnerability in Buffalo WNC01WH devices with firmware version 1.0.0.8 and earlier allows authenticated attackers to read arbitrary files via specially crafted commands.
Severity
6.5 (Medium)
CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N
CWE
  • Directory traversal
Assigner
References
URL Tags
https://jvn.jp/en/jp/JVN40613060/index.html third-party-advisoryx_refsource_JVN
http://buffalo.jp/support_s/s20161201.html x_refsource_CONFIRM
http://www.securityfocus.com/bid/94648 vdb-entryx_refsource_BID
Impacted products
Vendor Product Version CPE status
BUFFALO INC. WNC01WH Affected: firmware version 1.0.0.8 and earlier
guessed Create a notification for this product.
Date Public
2016-12-02 00:00
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.