CVE-2025-11789 (GCVE-0-2025-11789)

Vulnerability from cvelistv5 – Published: 2025-12-02 13:04 – Updated: 2025-12-02 13:27 Unsupported When Assigned
VLAI
Title
Out-of-bounds read vulnerability in Circutor SGE-PLC1000/SGE-PLC50
Summary
Out-of-bounds read vulnerability in Circutor SGE-PLC1000/SGE-PLC50 v9.0.2. The 'DownloadFile' function converts a parameter to an integer using 'atoi()' and then uses it as an index in the 'FilesDownload' array with '(&FilesDownload)[iVar2]'. If the parameter is too large, it will access memory beyond the limits.
SSVC
Exploitation: none Automatable: yes Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-12-02 13:27 UTC
CWE
Impacted products
Vendor Product Version CPE status
SGE-PLC1000 SGE-PLC50 Circutor Affected: 9.0.2
    cpe:2.3:a:sge-plc1000_sge-plc50:circutor:9.0.2:*:*:*:*:*:*:*
Create a notification for this product.
Date Public
2025-10-28 11:00
Show details on NVD website

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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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