CVE-2020-25238 (GCVE-0-2020-25238)

Vulnerability from cvelistv5 – Published: 2021-02-09 15:38 – Updated: 2024-08-04 15:33
VLAI
Summary
A vulnerability has been identified in PCS neo (Administration Console) (All versions < V3.1), TIA Portal (V15, V15.1 and V16). Manipulating certain files in specific folders could allow a local attacker to execute code with SYSTEM privileges. The security vulnerability could be exploited by an attacker with a valid account and limited access rights on the system.
Severity
7.8 (High)
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
CWE
  • CWE-284 - Improper Access Control
Assigner
References
Impacted products
Vendor Product Version CPE status
Siemens PCS neo (Administration Console) Affected: All versions < V3.1
guessed Create a notification for this product.
Siemens TIA Portal Affected: V15, V15.1 and V16
guessed Create a notification for this product.
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

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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.


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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.