CVE-2025-47900 (GCVE-0-2025-47900)

Vulnerability from cvelistv5 – Published: 2025-10-20 17:43 – Updated: 2026-03-31 10:38
VLAI
Title
RCE on backup configuration password
Summary
Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection') vulnerability in Microchip Time Provider 4100 allows OS Command Injection.This issue affects Time Provider 4100: before 2.5.
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-10-20 18:01 UTC
CWE
  • CWE-78 - Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection')
Assigner
Microchip CNA under the mitre root
CNA scorecard – unranked: 6 records in the last 180 days, 10 needed details
References
Impacted products
Vendor Product Version CPE status
Microchip Time Provider 4100 Affected: 0 , < 2.5 (semver)
guessed Create a notification for this product.
Show details on NVD website

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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

JSON
Events included in the timeline

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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.