FKIE_CVE-2015-1781
Vulnerability from fkie_nvd - Published: 2015-09-28 20:59 - Updated: 2026-06-17 00:22
Severity
Summary
Buffer overflow in the gethostbyname_r and other unspecified NSS functions in the GNU C Library (aka glibc or libc6) before 2.22 allows context-dependent attackers to cause a denial of service (crash) or execute arbitrary code via a crafted DNS response, which triggers a call with a misaligned buffer.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| suse | linux_enterprise_debuginfo | 11 | |
| suse | linux_enterprise_debuginfo | 11 | |
| suse | linux_enterprise_desktop | 11 | |
| suse | linux_enterprise_desktop | 11 | |
| suse | linux_enterprise_server | 11 | |
| suse | linux_enterprise_server | 11 | |
| suse | linux_enterprise_server | 11 | |
| gnu | glibc | * | |
| debian | debian_linux | 7.0 | |
| canonical | ubuntu_linux | 12.04 | |
| canonical | ubuntu_linux | 14.04 | |
| canonical | ubuntu_linux | 15.04 |
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"source": "secalert@redhat.com"
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"value": "Buffer overflow in the gethostbyname_r and other unspecified NSS functions in the GNU C Library (aka glibc or libc6) before 2.22 allows context-dependent attackers to cause a denial of service (crash) or execute arbitrary code via a crafted DNS response, which triggers a call with a misaligned buffer."
},
{
"lang": "es",
"value": "Desbordamiento de buffer en gethostbyname_r y otras funciones NSS no especificadas en la librer\u00eda C de GNU (tambi\u00e9n conocida como glibc o libc6) en versiones anteriores a 2.22, permite a atacantes dependientes del contexto provocar una denegaci\u00f3n de servicio (ca\u00edda) o ejecutar c\u00f3digo arbitrario a trav\u00e9s de una respuesta DNS manipulada, lo que desencadena una llamada con un buffer incorrectamente alineado."
}
],
"id": "CVE-2015-1781",
"lastModified": "2026-06-17T00:22:58.877",
"metrics": {
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"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "MEDIUM",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 6.8,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:M/Au:N/C:P/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 8.6,
"impactScore": 6.4,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
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"published": "2015-09-28T20:59:00.093",
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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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