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CVE-2018-0013 (GCVE-0-2018-0013)

Vulnerability from cvelistv5 – Published: 2018-01-10 22:00 – Updated: 2024-09-16 17:58
VLAI
Title
Junos Space: Local File Inclusion Vulnerability
Summary
A local file inclusion vulnerability in Juniper Networks Junos Space Network Management Platform may allow an authenticated user to retrieve files from the system.
Severity
6.5 (Medium)
CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N
CWE
  • Local File Inclusion
Assigner
References
URL Tags
https://kb.juniper.net/JSA10838 x_refsource_CONFIRM
http://www.securitytracker.com/id/1040189 vdb-entryx_refsource_SECTRACK
Impacted products
Vendor Product Version CPE status
Juniper Networks Junos Space Affected: all , < 17.2R1 (custom)
guessed Create a notification for this product.
Date Public
2018-01-10 00:00
Credits
the team at cyberhouse.ge for responsibly reporting CVE-2018-0013.
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.


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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.