CVE-2017-11507 (GCVE-0-2017-11507)
Vulnerability from cvelistv5 – Published: 2017-12-11 16:00 – Updated: 2024-09-16 22:20
VLAI
EPSS
VEX
Summary
A cross site scripting (XSS) vulnerability exists in Check_MK versions 1.2.8x prior to 1.2.8p25 and 1.4.0x prior to 1.4.0p9, allowing an unauthenticated attacker to inject arbitrary HTML or JavaScript via the output_format parameter, and the username parameter of failed HTTP basic authentication attempts, which is returned unencoded in an internal server error page.
Severity
6.1 (Medium)
CWE
- Stored and Reflected Cross Site Scripting (XSS)
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://www.tenable.com/security/research/tra-2017-20 | x_refsource_MISC |
| http://mathias-kettner.com/check_mk_werks.php?wer… | x_refsource_CONFIRM |
Impacted products
Date Public
2017-07-06 00:00
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"source": "vulnreport@tenable.com",
"tags": [
"Vendor Advisory"
],
"url": "http://mathias-kettner.com/check_mk_werks.php?werk_id=7661"
},
{
"source": "vulnreport@tenable.com",
"tags": [
"Exploit",
"Third Party Advisory"
],
"url": "https://www.tenable.com/security/research/tra-2017-20"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Vendor Advisory"
],
"url": "http://mathias-kettner.com/check_mk_werks.php?werk_id=7661"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Exploit",
"Third Party Advisory"
],
"url": "https://www.tenable.com/security/research/tra-2017-20"
}
],
"sourceIdentifier": "vulnreport@tenable.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-79"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
},
"redhat_vex": {
"aggregate_severity": "Moderate",
"current_release_date": "2026-05-13T01:13:26+00:00",
"cve": "CVE-2017-11507",
"id": "CVE-2017-11507",
"initial_release_date": "2017-07-06T00:00:00+00:00",
"product_status:known_not_affected": "3",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "check-mk: Stored XSS vulnerability using the internal server error handler",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2017/cve-2017-11507.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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