CVE-2017-2299 (GCVE-0-2017-2299)
Vulnerability from cvelistv5 – Published: 2017-09-15 18:00 – Updated: 2024-09-16 18:59
VLAI
EPSS
VEX
Summary
Versions of the puppetlabs-apache module prior to 1.11.1 and 2.1.0 make it very easy to accidentally misconfigure TLS trust. If you specify the `ssl_ca` parameter but do not specify the `ssl_certs_dir` parameter, a default will be provided for the `ssl_certs_dir` that will trust certificates from any of the system-trusted certificate authorities. This did not affect FreeBSD.
Severity
7.5 (High)
CWE
- Unsafe defaults affecting access controls
Assigner
References
2 references
| URL | Tags |
|---|---|
| http://www.securityfocus.com/bid/100859 | vdb-entryx_refsource_BID |
| https://puppet.com/security/cve/CVE-2017-2299 | x_refsource_CONFIRM |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Puppet | puppetlabs-apache |
Affected:
prior to 1.11.1 and 2.1.0
|
guessed |
Date Public
2017-09-14 00:00
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"matchCriteriaId": "34E0E71D-3CD8-473C-9B31-98049634B43B",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Versions of the puppetlabs-apache module prior to 1.11.1 and 2.1.0 make it very easy to accidentally misconfigure TLS trust. If you specify the `ssl_ca` parameter but do not specify the `ssl_certs_dir` parameter, a default will be provided for the `ssl_certs_dir` that will trust certificates from any of the system-trusted certificate authorities. This did not affect FreeBSD."
},
{
"lang": "es",
"value": "Las versiones del m\u00f3dulo puppetlabs-apache anteriores a 1.11.1 y 2.1.0 hacen que sea muy sencillo configurar de forma incorrecta las relaciones de confianza para TLS Si se especifica el par\u00e1metro `ssl_ca` pero no se especifica el par\u00e1metro `ssl_certs_dir`, se proporcionar\u00e1 uno por defecto para `ssl_certs_dir` que confiar\u00e1 en certificados de cualquiera de las autoridades certificadoras de confianza del sistema. Esto no afecta a FreeBSD."
}
],
"id": "CVE-2017-2299",
"lastModified": "2026-05-13T00:24:29.033",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 5.0,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:L/Au:N/C:P/I:N/A:N",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": false
}
],
"cvssMetricV30": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
"version": "3.0"
},
"exploitabilityScore": 3.9,
"impactScore": 3.6,
"source": "nvd@nist.gov",
"type": "Primary"
}
]
},
"published": "2017-09-15T18:29:00.260",
"references": [
{
"source": "security@puppet.com",
"tags": [
"Third Party Advisory",
"VDB Entry"
],
"url": "http://www.securityfocus.com/bid/100859"
},
{
"source": "security@puppet.com",
"tags": [
"Vendor Advisory"
],
"url": "https://puppet.com/security/cve/CVE-2017-2299"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Third Party Advisory",
"VDB Entry"
],
"url": "http://www.securityfocus.com/bid/100859"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Vendor Advisory"
],
"url": "https://puppet.com/security/cve/CVE-2017-2299"
}
],
"sourceIdentifier": "security@puppet.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-295"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
},
"redhat_vex": {
"aggregate_severity": "Low",
"current_release_date": "2026-05-13T03:47:46+00:00",
"cve": "CVE-2017-2299",
"id": "CVE-2017-2299",
"initial_release_date": "2017-09-13T00:00:00+00:00",
"product_status:known_affected": "2",
"product_status:known_not_affected": "4",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "puppet-apache: Possible TLS trust misconfiguration in puppetlabs-apache",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2017/cve-2017-2299.json",
"version": "3"
}
}
}
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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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