CVE-2017-5643 (GCVE-0-2017-5643)
Vulnerability from cvelistv5 – Published: 2017-03-16 15:00 – Updated: 2024-08-05 15:04
VLAI
EPSS
VEX
Summary
Apache Camel's Validation Component is vulnerable against SSRF via remote DTDs and XXE.
Severity
7.4 (High)
CWE
- SSRF
Assigner
References
5 references
| URL | Tags |
|---|---|
| http://www.securityfocus.com/bid/97226 | vdb-entryx_refsource_BID |
| https://access.redhat.com/errata/RHSA-2017:1832 | vendor-advisoryx_refsource_REDHAT |
| http://camel.apache.org/security-advisories.data/… | x_refsource_CONFIRM |
| https://lists.apache.org/thread.html/b4014ea7c583… | mailing-listx_refsource_MLIST |
| https://lists.apache.org/thread.html/2318d7f7d877… | mailing-listx_refsource_MLIST |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Apache Software Foundation | Apache Camel |
Affected:
2.17.0 to 2.17.5
Affected: 2.18.0 to 2.18.2 Affected: The unsupported Camel 2.x (2.16 and earlier) versions may be also affected. |
guessed |
Date Public
2017-03-16 00:00
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"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://lists.apache.org/thread.html/2318d7f7d87724d8716cd650c21b31cb06e4d34f6d0f5ee42f28fdaf%40%3Ccommits.camel.apache.org%3E"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://lists.apache.org/thread.html/b4014ea7c5830ca1fc28edd5cafedfe93ad4af2d9e69c961c5def31d%40%3Ccommits.camel.apache.org%3E"
}
],
"sourceIdentifier": "security@apache.org",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-918"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
},
"redhat_vex": {
"aggregate_severity": "Moderate",
"current_release_date": "2026-05-14T18:16:27+00:00",
"cve": "CVE-2017-5643",
"id": "CVE-2017-5643",
"initial_release_date": "2017-02-24T00:00:00+00:00",
"product_status:fixed": "2",
"product_status:known_affected": "6",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "camel-core: Validation component vulnerable to SSRF via remote DTDs and XXE",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2017/cve-2017-5643.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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