GSD-2021-45958
Vulnerability from gsd - Updated: 2023-12-13 01:23Details
UltraJSON (aka ujson) through 5.1.0 has a stack-based buffer overflow in Buffer_AppendIndentUnchecked (called from encode). Exploitation can, for example, use a large amount of indentation.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2021-45958",
"description": "UltraJSON (aka ujson) 4.0.2 through 5.0.0 has a stack-based buffer overflow in Buffer_AppendIndentUnchecked (called from encode).",
"id": "GSD-2021-45958",
"references": [
"https://www.suse.com/security/cve/CVE-2021-45958.html",
"https://advisories.mageia.org/CVE-2021-45958.html"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2021-45958"
],
"details": "UltraJSON (aka ujson) through 5.1.0 has a stack-based buffer overflow in Buffer_AppendIndentUnchecked (called from encode). Exploitation can, for example, use a large amount of indentation.",
"id": "GSD-2021-45958",
"modified": "2023-12-13T01:23:19.428535Z",
"schema_version": "1.4.0"
}
},
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"gitlab.com": {
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"affected_range": "\u003c5.2.0",
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"cwe_ids": [
"CWE-1035",
"CWE-787",
"CWE-937"
],
"date": "2022-09-10",
"description": "UltraJSON (aka ujson) has a stack-based buffer overflow in Buffer_AppendIndentUnchecked (called from encode).",
"fixed_versions": [
"5.2.0"
],
"identifier": "CVE-2021-45958",
"identifiers": [
"CVE-2021-45958"
],
"not_impacted": "All versions starting from 5.2.0",
"package_slug": "pypi/ujson",
"pubdate": "2022-01-01",
"solution": "Upgrade to version 5.2.0 or above.",
"title": "Out-of-bounds Write",
"urls": [
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"uuid": "17f63033-230b-450e-8ff1-0de9b7e4abde"
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},
"impact": {
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"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 4.3,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:M/Au:N/C:N/I:N/A:P",
"version": "2.0"
},
"exploitabilityScore": 8.6,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": true
},
"baseMetricV3": {
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"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 5.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H",
"version": "3.1"
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"impactScore": 3.6
}
},
"lastModifiedDate": "2022-09-10T02:38Z",
"publishedDate": "2022-01-01T00:15Z"
}
}
}
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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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