CVE-2025-1727 (GCVE-0-2025-1727)
Vulnerability from cvelistv5 – Published: 2025-07-10 22:59 – Updated: 2025-07-11 14:06
VLAI
EPSS
VEX
Title
End-of-Train and Head-of-Train Remote Linking Protocol Weak Authentication
Summary
The protocol used for remote linking over RF for End-of-Train and
Head-of-Train (also known as a FRED) relies on a BCH checksum for packet
creation. It is possible to create these EoT and HoT packets with a
software defined radio and issue brake control commands to the EoT
device, disrupting operations or potentially overwhelming the brake
systems.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-07-11 14:06 UTC
CWE
Assigner
icscert
CNA
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| End-of-Train and Head-of-Train remote linking protocol | End-of-Train and Head-of-Train remote linking protocol |
Affected:
All versions
|
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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.
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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.
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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.
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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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