VAR-202207-1128

Vulnerability from variot - Updated: 2024-12-21 22:55

This vulnerability allows remote attackers to bypass authentication on affected installations of Inductive Automation Ignition 8.1.15 (b2022030114). Authentication is not required to exploit this vulnerability. The specific flaw exists within com.inductiveautomation.ignition.gateway.web.pages. The issue results from the lack of proper authentication prior to access to functionality. An attacker can leverage this vulnerability to bypass authentication on the system. Was ZDI-CAN-17211. (DoS) It may be in a state. Inductive Automation Ignition‌ is a comprehensive platform for industrial automation that provides scalable solutions for monitoring, control, data collection and analysis. Ignition was developed by Inductive Automation to help users build and deploy automation systems that meet specific needs‌

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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.