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CVE-2017-6769 (GCVE-0-2017-6769)

Vulnerability from cvelistv5 – Published: 2017-08-07 06:00 – Updated: 2024-08-05 15:41
VLAI
Summary
A vulnerability in the web-based management interface of the Cisco Secure Access Control System (ACS) could allow an authenticated, remote attacker to conduct a stored cross-site scripting (XSS) attack against a user of the web interface of the affected system. More Information: CSCve70587. Known Affected Releases: 5.8(0.8) 5.8(1.5).
CWE
  • Stored Cross-Site Scripting Vulnerability
References
URL Tags
http://www.securitytracker.com/id/1038996 vdb-entryx_refsource_SECTRACK
https://tools.cisco.com/security/center/content/C… x_refsource_CONFIRM
http://www.securityfocus.com/bid/99985 vdb-entryx_refsource_BID
Impacted products
Vendor Product Version CPE status
n/a Cisco Access Control System Affected: Cisco Access Control System
Date Public
2017-08-07 00:00
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

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.

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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.


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