VAR-202203-0949

Vulnerability from variot - Updated: 2023-12-18 13:17

AVEVA System Platform 2020 stores sensitive information in cleartext, which may allow access to an attacker or a low-privileged user. AVEVA System Platform is an application software of British AVEVA company. A responsive, standards-driven and scalable foundation for regulatory, enterprise SCADA, MES and IIoT applications. A security vulnerability exists in the AVEVA System Platform, a successful exploitation of which could expose a network user account or the logged-in user's clear text credentials to an authorized low-privilege user. Clear-text credentials will also be exposed if a user creates a diagnostic memory dump of the relevant process and saves it to an unprotected location that an unauthorized malicious user can access

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        "db": "CNNVD",
        "id": "CNNVD-202203-735"
      }
    ],
    "trust": 0.6
  }
}



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Tags
Taxonomy of the tags.


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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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