CVE-2025-40569 (GCVE-0-2025-40569)
Vulnerability from cvelistv5 – Published: 2025-06-10 15:17 – Updated: 2026-01-13 09:44
VLAI
EPSS
VEX
Summary
A vulnerability has been identified in RUGGEDCOM RST2428P (6GK6242-6PA00) (All versions < V3.2), SCALANCE XCH328 (6GK5328-4TS01-2EC2) (All versions < V3.2), SCALANCE XCM324 (6GK5324-8TS01-2AC2) (All versions < V3.2), SCALANCE XCM328 (6GK5328-4TS01-2AC2) (All versions < V3.2), SCALANCE XCM332 (6GK5332-0GA01-2AC2) (All versions < V3.2), SCALANCE XRH334 (24 V DC, 8xFO, CC) (6GK5334-2TS01-2ER3) (All versions < V3.2), SCALANCE XRM334 (230 V AC, 12xFO) (6GK5334-3TS01-3AR3) (All versions < V3.2), SCALANCE XRM334 (230 V AC, 8xFO) (6GK5334-2TS01-3AR3) (All versions < V3.2), SCALANCE XRM334 (230V AC, 2x10G, 24xSFP, 8xSFP+) (6GK5334-5TS01-3AR3) (All versions < V3.2), SCALANCE XRM334 (24 V DC, 12xFO) (6GK5334-3TS01-2AR3) (All versions < V3.2), SCALANCE XRM334 (24 V DC, 8xFO) (6GK5334-2TS01-2AR3) (All versions < V3.2), SCALANCE XRM334 (24V DC, 2x10G, 24xSFP, 8xSFP+) (6GK5334-5TS01-2AR3) (All versions < V3.2), SCALANCE XRM334 (2x230 V AC, 12xFO) (6GK5334-3TS01-4AR3) (All versions < V3.2), SCALANCE XRM334 (2x230 V AC, 8xFO) (6GK5334-2TS01-4AR3) (All versions < V3.2), SCALANCE XRM334 (2x230V AC, 2x10G, 24xSFP, 8xSFP+) (6GK5334-5TS01-4AR3) (All versions < V3.2). The "Load Configuration from Local PC" functionality in the web interface of affected products contains a race condition vulnerability. This could allow an authenticated remote attacker to make the affected product load an attacker controlled configuration instead of the legitimate one. Successful exploitation requires that a legitimate administrator invokes the functionality and the attacker wins the race condition.
Severity
4.8 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-06-10 17:11 UTC
CWE
- CWE-362 - Concurrent Execution using Shared Resource with Improper Synchronization ('Race Condition')
Assigner
References
1 reference
Impacted products
15 products
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
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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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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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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