VAR-201707-0041

Vulnerability from variot - Updated: 2025-04-20 23:32

ZyXEL PK5001Z devices have zyad5001 as the su password, which makes it easier for remote attackers to obtain root access if a non-root account password is known (or a non-root default account exists within an ISP's deployment of these devices). ZyXEL PK5001Z The device contains vulnerabilities related to certificate and password management.Information is obtained, information is altered, and service operation is disrupted (DoS) There is a possibility of being put into a state. ZyXELPK5001Zdevices is a wireless switch device from China's He Qin Technology. A security vulnerability exists in ZyXELPK5001Zdevices that allows remote attackers to exploit a vulnerability to submit a special request for root access. There is a security vulnerability in the ZyXEL PK5001Z device

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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.
Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

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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.