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CVE-2017-16524 (GCVE-0-2017-16524)

Vulnerability from cvelistv5 – Published: 2017-11-06 08:00 – Updated: 2024-08-05 20:27
VLAI
Summary
Web Viewer 1.0.0.193 on Samsung SRN-1670D devices suffers from an Unrestricted file upload vulnerability: 'network_ssl_upload.php' allows remote authenticated attackers to upload and execute arbitrary PHP code via a filename with a .php extension, which is then accessed via a direct request to the file in the upload/ directory. To authenticate for this attack, one can obtain web-interface credentials in cleartext by leveraging the existing Local File Read Vulnerability referenced as CVE-2015-8279, which allows remote attackers to read the web-interface credentials via a request for the cslog_export.php?path=/root/php_modules/lighttpd/sbin/userpw URI.
Severity
8.8 (High)
CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
CWE
  • n/a
Assigner
References
Date Public
2017-11-06 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.