FKIE_CVE-2020-25713
Vulnerability from fkie_nvd - Published: 2021-05-13 15:15 - Updated: 2026-06-17 03:07
Severity
Summary
A malformed input file can lead to a segfault due to an out of bounds array access in raptor_xml_writer_start_element_common.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| librdf | raptor_rdf_syntax_library | 2.0.15 | |
| fedoraproject | fedora | 32 | |
| fedoraproject | fedora | 33 | |
| debian | debian_linux | 9.0 |
{
"affected": [
{
"affectedData": [
{
"product": "raptor2",
"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "raptor2 2.0.15-27.eln108"
}
]
}
],
"source": "secalert@redhat.com"
}
],
"configurations": [
{
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"vulnerable": true
}
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],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "A malformed input file can lead to a segfault due to an out of bounds array access in raptor_xml_writer_start_element_common."
},
{
"lang": "es",
"value": "Un archivo de entrada malformado puede conllevar a un error de segmentaci\u00f3n debido a un acceso a la matriz fuera de l\u00edmites en la funci\u00f3n raptor_xml_writer_start_element_common"
}
],
"id": "CVE-2020-25713",
"lastModified": "2026-06-17T03:07:10.660",
"metrics": {
"cvssMetricV2": [
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"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "SINGLE",
"availabilityImpact": "PARTIAL",
"baseScore": 4.0,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:L/Au:S/C:N/I:N/A:P",
"version": "2.0"
},
"exploitabilityScore": 8.0,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": false
}
],
"cvssMetricV31": [
{
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"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 6.5,
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"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
},
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"impactScore": 3.6,
"source": "nvd@nist.gov",
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},
"published": "2021-05-13T15:15:07.487",
"references": [
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"url": "https://lists.debian.org/debian-lts-announce/2021/12/msg00009.html"
},
{
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},
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{
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}
],
"sourceIdentifier": "secalert@redhat.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-20"
}
],
"source": "secalert@redhat.com",
"type": "Secondary"
},
{
"description": [
{
"lang": "en",
"value": "CWE-125"
}
],
"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.
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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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