CVE-2017-4972 (GCVE-0-2017-4972)
Vulnerability from cvelistv5 – Published: 2017-06-13 06:00 – Updated: 2024-08-05 14:47
VLAI
EPSS
VEX
Summary
An issue was discovered in Cloud Foundry Foundation cf-release versions prior to v257; UAA release 2.x versions prior to v2.7.4.14, 3.6.x versions prior to v3.6.8, 3.9.x versions prior to v3.9.10, and other versions prior to v3.15.0; and UAA bosh release (uaa-release) 13.x versions prior to v13.12, 24.x versions prior to v24.7, and other versions prior to v30. An attacker can use a blind SQL injection attack to query the contents of the UAA database.
Severity
7.5 (High)
CWE
- Blind SQL Injection in UAA
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://www.cloudfoundry.org/cve-2017-4972/ | x_refsource_CONFIRM |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| n/a | Cloud Foundry UAA |
Affected:
Cloud Foundry UAA
|
Date Public
2017-06-12 00:00
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],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "An issue was discovered in Cloud Foundry Foundation cf-release versions prior to v257; UAA release 2.x versions prior to v2.7.4.14, 3.6.x versions prior to v3.6.8, 3.9.x versions prior to v3.9.10, and other versions prior to v3.15.0; and UAA bosh release (uaa-release) 13.x versions prior to v13.12, 24.x versions prior to v24.7, and other versions prior to v30. An attacker can use a blind SQL injection attack to query the contents of the UAA database."
},
{
"lang": "es",
"value": "Se detect\u00f3 un problema en cf-release versiones anteriores a v257; UAA release versiones 2.x anteriores a v2.7.4.14, versiones 3.6.x anteriores a v3.6.8, versiones 3.9.x anteriores a v3.9.10, y otras versiones anteriores a v3.15.0; y UAA bosh release (uaa-release) versiones 13.x anteriores a v13.12, versiones 24.x anteriores a v24.7, y otras versiones anteriores a v30 de Cloud Foundry Foundation. Un atacante puede usar un ataque de inyecci\u00f3n de SQL a ciegas para consultar el contenido de la base de datos UAA."
}
],
"id": "CVE-2017-4972",
"lastModified": "2026-05-13T00:24:29.033",
"metrics": {
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{
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"tags": [
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},
{
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"value": "CWE-89"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
}
}
}
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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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