FKIE_CVE-2015-7497
Vulnerability from fkie_nvd - Published: 2015-12-15 21:59 - Updated: 2026-06-17 00:32
Severity
Summary
Heap-based buffer overflow in the xmlDictComputeFastQKey function in dict.c in libxml2 before 2.9.3 allows context-dependent attackers to cause a denial of service via unspecified vectors.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| debian | debian_linux | 7.0 | |
| debian | debian_linux | 8.0 | |
| canonical | ubuntu_linux | 12.04 | |
| canonical | ubuntu_linux | 14.04 | |
| canonical | ubuntu_linux | 15.04 | |
| canonical | ubuntu_linux | 15.10 | |
| xmlsoft | libxml2 | * | |
| redhat | enterprise_linux_desktop | 6.0 | |
| redhat | enterprise_linux_hpc_node | 6.0 | |
| redhat | enterprise_linux_server | 6.0 | |
| redhat | enterprise_linux_workstation | 6.0 | |
| hp | icewall_federation_agent | 3.0 | |
| hp | icewall_file_manager | 3.0 |
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"source": "secalert@redhat.com"
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"cveTags": [],
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"value": "Heap-based buffer overflow in the xmlDictComputeFastQKey function in dict.c in libxml2 before 2.9.3 allows context-dependent attackers to cause a denial of service via unspecified vectors."
},
{
"lang": "es",
"value": "Desbordamiento de buffer basado en memoria din\u00e1mica en la funci\u00f3n xmlDictComputeFastQKey en dict.c en libxml2 en versiones anteriores a 2.9.3 permite a atacantes dependientes del contexto causar una denegaci\u00f3n de servicio a trav\u00e9s de vectores no especificados."
}
],
"id": "CVE-2015-7497",
"lastModified": "2026-06-17T00:32:37.637",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 5.0,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:L/Au:N/C:N/I:N/A:P",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
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},
"published": "2015-12-15T21:59:01.663",
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"url": "http://www.securityfocus.com/bid/79508"
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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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