FKIE_CVE-2023-50471
Vulnerability from fkie_nvd - Published: 2023-12-14 20:15 - Updated: 2026-06-17 06:39
Severity
Summary
cJSON v1.7.16 was discovered to contain a segmentation violation via the function cJSON_InsertItemInArray at cJSON.c.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| davegamble | cjson | 1.7.16 |
{
"affected": [
{
"affectedData": [
{
"product": "n/a",
"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "n/a"
}
]
}
],
"source": "cve@mitre.org"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:davegamble:cjson:1.7.16:*:*:*:*:*:*:*",
"matchCriteriaId": "F56CB781-7731-4704-BF18-D9A9648FDD22",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "cJSON v1.7.16 was discovered to contain a segmentation violation via the function cJSON_InsertItemInArray at cJSON.c."
},
{
"lang": "es",
"value": "Se descubri\u00f3 que cJSON v1.7.16 conten\u00eda una infracci\u00f3n de segmentaci\u00f3n a trav\u00e9s de la funci\u00f3n cJSON_InsertItemInArray en cJSON.c."
}
],
"id": "CVE-2023-50471",
"lastModified": "2026-06-17T06:39:43.003",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 3.6,
"source": "nvd@nist.gov",
"type": "Primary"
}
]
},
"published": "2023-12-14T20:15:53.130",
"references": [
{
"source": "cve@mitre.org",
"tags": [
"Exploit",
"Issue Tracking",
"Patch",
"Third Party Advisory"
],
"url": "https://github.com/DaveGamble/cJSON/issues/802"
},
{
"source": "cve@mitre.org",
"url": "https://lists.debian.org/debian-lts-announce/2023/12/msg00023.html"
},
{
"source": "cve@mitre.org",
"url": "https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/EO4XCUTY3ZMVW4YBG6DBYVS5NSMNP6JY/"
},
{
"source": "cve@mitre.org",
"url": "https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/JSI3LL6ZNKYNM5JKPA5FKZTATL4MPF7V/"
},
{
"source": "cve@mitre.org",
"url": "https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/YQOQ7CAOYBNHGAMNOR7ELGLC22HV3ZQV/"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
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"Issue Tracking",
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"Third Party Advisory"
],
"url": "https://github.com/DaveGamble/cJSON/issues/802"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://lists.debian.org/debian-lts-announce/2023/12/msg00023.html"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/EO4XCUTY3ZMVW4YBG6DBYVS5NSMNP6JY/"
},
{
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"url": "https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/JSI3LL6ZNKYNM5JKPA5FKZTATL4MPF7V/"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/YQOQ7CAOYBNHGAMNOR7ELGLC22HV3ZQV/"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/EO4XCUTY3ZMVW4YBG6DBYVS5NSMNP6JY/"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/JSI3LL6ZNKYNM5JKPA5FKZTATL4MPF7V/"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/YQOQ7CAOYBNHGAMNOR7ELGLC22HV3ZQV/"
}
],
"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-476"
}
],
"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.
- 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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