FKIE_CVE-2017-7555
Vulnerability from fkie_nvd - Published: 2017-08-17 19:29 - Updated: 2026-06-17 01:24
Severity
Summary
Augeas versions up to and including 1.8.0 are vulnerable to heap-based buffer overflow due to improper handling of escaped strings. Attacker could send crafted strings that would cause the application using augeas to copy past the end of a buffer, leading to a crash or possible code execution.
References
{
"affected": [
{
"affectedData": [
{
"product": "augeas",
"vendor": "Red Hat, Inc.",
"versions": [
{
"status": "affected",
"version": "up to and including 1.8.0"
}
]
}
],
"source": "secalert@redhat.com"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:augeas:augeas:*:*:*:*:*:*:*:*",
"matchCriteriaId": "6E6A5F03-A1F0-42AC-BBCF-A37EC722618A",
"versionEndIncluding": "1.8.0",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Augeas versions up to and including 1.8.0 are vulnerable to heap-based buffer overflow due to improper handling of escaped strings. Attacker could send crafted strings that would cause the application using augeas to copy past the end of a buffer, leading to a crash or possible code execution."
},
{
"lang": "es",
"value": "Augeas en sus versiones hasta la 1.8.0 (esta incluida) es vulnerable a un desbordamiento de b\u00fafer basado en memoria din\u00e1mica debido a una gesti\u00f3n indebida de strings escapados. Un atacante podr\u00eda enviar strings manipulados que har\u00edan que la aplicaci\u00f3n que emplea Augeas copie y pegue el final de un b\u00fafer, provocando un bloqueo o una posible ejecuci\u00f3n de c\u00f3digo."
}
],
"id": "CVE-2017-7555",
"lastModified": "2026-06-17T01:24:36.093",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": true,
"baseSeverity": "HIGH",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 7.5,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:L/Au:N/C:P/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 6.4,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": false
}
],
"cvssMetricV30": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9.8,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"version": "3.0"
},
"exploitabilityScore": 3.9,
"impactScore": 5.9,
"source": "nvd@nist.gov",
"type": "Primary"
}
]
},
"published": "2017-08-17T19:29:00.223",
"references": [
{
"source": "secalert@redhat.com",
"url": "http://www.debian.org/security/2017/dsa-3949"
},
{
"source": "secalert@redhat.com",
"tags": [
"Third Party Advisory",
"VDB Entry"
],
"url": "http://www.securityfocus.com/bid/100378"
},
{
"source": "secalert@redhat.com",
"url": "https://access.redhat.com/errata/RHSA-2017:2788"
},
{
"source": "secalert@redhat.com",
"url": "https://access.redhat.com/errata/RHSA-2019:2403"
},
{
"source": "secalert@redhat.com",
"tags": [
"Third Party Advisory"
],
"url": "https://github.com/hercules-team/augeas/pull/480"
},
{
"source": "secalert@redhat.com",
"url": "https://puppet.com/security/cve/cve-2017-7555"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "http://www.debian.org/security/2017/dsa-3949"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Third Party Advisory",
"VDB Entry"
],
"url": "http://www.securityfocus.com/bid/100378"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://access.redhat.com/errata/RHSA-2017:2788"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://access.redhat.com/errata/RHSA-2019:2403"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Third Party Advisory"
],
"url": "https://github.com/hercules-team/augeas/pull/480"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://puppet.com/security/cve/cve-2017-7555"
}
],
"sourceIdentifier": "secalert@redhat.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-122"
}
],
"source": "secalert@redhat.com",
"type": "Secondary"
},
{
"description": [
{
"lang": "en",
"value": "CWE-119"
}
],
"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.
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- 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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