CVE-2024-10534 (GCVE-0-2024-10534)

Vulnerability from cvelistv5 – Published: 2024-11-15 11:02 – Updated: 2026-06-02 06:51
VLAI
Title
Improper Access Control in Dataprom Informatics' PACS-ACSS
Summary
Origin Validation Error vulnerability in Dataprom Informatics Personnel Attendance Control Systems (PACS) / Access Control Security Systems (ACSS) allows Traffic Injection. This issue affects Personnel Attendance Control Systems (PACS) / Access Control Security Systems (ACSS): before 2024.
Severity
8.6 (High)
CVSS:4.0/AV:A/AC:L/AT:N/PR:L/UI:P/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-11-15 17:18 UTC
CWE
  • CWE-346 - Origin Validation Error
Assigner
TR-CERT CNA under the mitre root
CNA scorecard C 75/100 over 269 records in the last 180 days details
References
Impacted products
Vendor Product Version CPE status
Dataprom Informatics Personnel Attendance Control Systems (PACS) / Access Control Security Systems (ACSS) Affected: 0 , < 2024 (custom)
guessed Create a notification for this product.
dataprom_informatics personnel_attendance_control_systems Affected: 0 , < 2024 (custom)
    cpe:2.3:a:dataprom_informatics:personnel_attendance_control_systems:*:*:*:*:*:*:*:*
Create a notification for this product.
dataprom_informatics access_control_security_systems Affected: 0 , < 2024 (custom)
    cpe:2.3:a:dataprom_informatics:access_control_security_systems:*:*:*:*:*:*:*:*
Create a notification for this product.
Credits
Yusuf Kamil CAVUSOGLU Havelsan Inc.
Show details on NVD website
To clipboard 

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  • 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.