CVE-2022-28813 (GCVE-0-2022-28813)
Vulnerability from cvelistv5 – Published: 2022-09-28 00:00 – Updated: 2025-05-21 14:58
VLAI
EPSS
VEX
Title
SQL-injection in Car Park Server 3.0 allows for full database access.
Summary
In Carlo Gavazzi UWP3.0 in multiple versions and CPY Car Park Server in Version 2.8.3 a remote, unauthenticated attacker could make use of an SQL-injection to gain access to a volatile temporary database with the current states of the device.
Severity
7.5 (High)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-05-21 14:58 UTC
CWE
- CWE-89 - SQL Injection
Assigner
References
1 reference
Impacted products
4 products
| Vendor | Product | Version | |
|---|---|---|---|
| Carlo Gavazzi | UWP 3.0 Monitoring Gateway and Controller |
Affected:
8 , < 8.5.0.3
(custom)
|
|
| Carlo Gavazzi | UWP 3.0 Monitoring Gateway and Controller – Security Enhanced |
Affected:
8 , < 8.5.0.3
(custom)
|
|
| Carlo Gavazzi | UWP 3.0 Monitoring Gateway and Controller – EDP version |
Affected:
8 , < 8.5.0.3
(custom)
|
|
| Carlo Gavazzi | CPY Car Park Server |
Affected:
2 , < 2.8.3
(custom)
|
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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.
- 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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