CVE-2024-1578 (GCVE-0-2024-1578)
Vulnerability from cvelistv5 – Published: 2024-09-16 06:59 – Updated: 2024-09-16 14:33 X_Nt_Ware X_Rf_Ideas X_Third_Party X_Canon_Emea
VLAI
EPSS
VEX
Title
Multiple MiCard PLUS card reader dropped characters
Summary
The MiCard PLUS Ci and MiCard PLUS BLE reader products developed by rf IDEAS and rebranded by NT-ware have a firmware fault that may result in characters randomly being dropped from some ID card reads, which would result in the wrong ID card number being assigned during ID card self-registration and might result in failed login attempts for end-users. Random characters being dropped from ID card numbers compromises the uniqueness of ID cards that can, therefore, result in a security issue if the users are using the ‘ID card self-registration’ function.
Severity
5.3 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-09-16 14:25 UTC
CWE
- CWE-1287 - Improper Validation of Specified Type of Input
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://ntware.atlassian.net/wiki/spaces/SA/pages… | vendor-advisorymitigation |
| https://www.canon-europe.com/psirt/advisory-information | vendor-advisorymitigation |
Impacted products
4 products
| Vendor | Product | Version | |
|---|---|---|---|
| Rebranded by NT-ware (originally developed and provided by rf IDEAS) | MiCard PLUS Ci |
Affected:
0.1.0.7
(custom)
|
|
| Rebranded by NT-ware (originally developed and provided by rf IDEAS) | MiCard PLUS BLE |
Affected:
0.1.0.4
(custom)
|
|
| nt-ware | micard_plus_ci |
Affected:
0.1.0.7
cpe:2.3:a:nt-ware:micard_plus_ci:*:*:*:*:*:*:*:* |
|
| nt-ware | micard_plus_ble |
Affected:
0.1.0.4
cpe:2.3:a:nt-ware:micard_plus_ble:*:*:*:*:*:*:*:* |
Date Public
2024-09-16 06:59
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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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