CVE-2022-2315 (GCVE-0-2022-2315)
Vulnerability from cvelistv5 – Published: 2022-09-21 07:50 – Updated: 2026-05-20 07:00
VLAI
EPSS
VEX
Title
SQL Injection in Database Accreditation System
Summary
Database Software Accreditation Tracking/Presentation Module product before version 2 has an unauthenticated SQL Injection vulnerability. This is fixed in version 2.
Severity
9.4 (Critical)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-05-28 15:27 UTC
CWE
- CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://www.usom.gov.tr/bildirim/tr-22-0634 | government-resourcebroken-link |
| https://siberguvenlik.gov.tr/guvenlik-bildirimler… | government-resource |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Database Software | Database Software |
Affected:
unspecified , < 2
(custom)
|
guessed |
Date Public
2022-09-20 21:00
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"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:L",
"version": "3.1"
}
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "eng",
"value": "CWE-89 SQL Injection"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://www.usom.gov.tr/bildirim/tr-22-0634",
"refsource": "CONFIRM",
"url": "https://www.usom.gov.tr/bildirim/tr-22-0634"
}
]
},
"solution": [
{
"lang": "en",
"value": "Database Software Accreditation Tracking/Presentation Module should be updated to the v2 version provided by the vendor."
}
],
"source": {
"advisory": "TR-22-0634",
"defect": [
"TR-22-0634"
],
"discovery": "EXTERNAL"
}
}
}
},
"cveMetadata": {
"assignerOrgId": "ca940d4e-fea4-4aa2-9a58-591a58b1ce21",
"assignerShortName": "TR-CERT",
"cveId": "CVE-2022-2315",
"datePublished": "2022-09-21T07:50:09.721Z",
"dateReserved": "2022-07-05T00:00:00.000Z",
"dateUpdated": "2026-05-20T07:00:24.945Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
}
}
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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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