CVE-2026-9395 (GCVE-0-2026-9395)
Vulnerability from cvelistv5 – Published: 2026-05-24 20:00 – Updated: 2026-05-26 13:20
VLAI
EPSS
VEX
Title
Besen BS20 EV Charging Station BLE/UDP insufficiently protected credentials
Summary
A vulnerability was identified in Besen BS20 EV Charging Station up to 20260426. Affected is an unknown function of the component BLE/UDP. The manipulation leads to insufficiently protected credentials. The attack needs to be initiated within the local network. The original disclosure mentions, that "[t]hese vulnerabilities have been reported to Besen and we have received their acknowlegement that they are reviewing this as of April 2026."
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-05-26 13:20 UTC
CWE
- CWE-522 - Insufficiently Protected Credentials
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://vuldb.com/vuln/365376 | vdb-entry |
| https://vuldb.com/vuln/365376/cti | signaturepermissions-required |
| https://vuldb.com/submit/813572 | third-party-advisory |
| https://github.com/carfeii/besen#finding-2-cleart… | related |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Besen | BS20 EV Charging Station |
Affected:
20260426
cpe:2.3:a:besen:bs20_ev_charging_station:*:*:*:*:*:*:*:* |
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Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.
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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.
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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
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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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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.