CVE-2019-8989 (GCVE-0-2019-8989)

Vulnerability from cvelistv5 – Published: 2019-03-26 17:54 – Updated: 2024-09-17 01:21
VLAI
Title
TIBCO Spotfire Data Science Spoofing Vulnerability
Summary
The application server component of TIBCO Software Inc.'s TIBCO Data Science for AWS, and TIBCO Spotfire Data Science contains a vulnerability that theoretically enables a user to spoof their account to look like a different user in the affected system. Affected releases are TIBCO Software Inc.'s TIBCO Data Science for AWS: versions up to and including 6.4.0, and TIBCO Spotfire Data Science: versions up to and including 6.4.0.
Severity
5 (Medium)
CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:C/C:N/I:L/A:N
CWE
  • The impact of this vulnerability includes the theoretical possibility that a user of the system could temporarily fool another user of the system into believing they were someone else.
Assigner
References
Impacted products
Date Public
2019-03-26 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.