VAR-201901-1453

Vulnerability from variot - Updated: 2024-01-18 22:52

The admin web interface on Technicolor MediaAccess TG789vac v2 HP devices with firmware v16.3.7190-2761005-20161004084353 displays unsanitised user input, which allows an unauthenticated malicious user to embed JavaScript into the Log viewer interface via a crafted HTTP Referer header, aka XSS. Technicolor MediaAccess TG789vac v2 HP The device contains a cross-site scripting vulnerability.Information may be obtained and information may be altered. TechnicolorMediaAccessTG789vacv2HP is a gateway device of the French Technicolor group. A cross-site scripting vulnerability exists in the adminweb interface of the TechnicolorMediaAccess TG789vacv2HP device using firmware version 16.3.7190-2761005-20161004084353. A remote attacker can exploit this vulnerability to inject JavaScript code into the Logviewer interface with a specially crafted HTTPReferer header

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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.

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  • 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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Detection rules are retrieved from Rulezet.

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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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