GSD-2021-30246
Vulnerability from gsd - Updated: 2023-12-13 01:23Details
In the jsrsasign package through 10.1.13 for Node.js, some invalid RSA PKCS#1 v1.5 signatures are mistakenly recognized to be valid. NOTE: there is no known practical attack.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2021-30246",
"description": "In the jsrsasign package through 10.1.13 for Node.js, some invalid RSA PKCS#1 v1.5 signatures are mistakenly recognized to be valid. NOTE: there is no known practical attack.",
"id": "GSD-2021-30246"
},
"gsd": {
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"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
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"id": "GSD-2021-30246",
"modified": "2023-12-13T01:23:30.469868Z",
"schema_version": "1.4.0"
}
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"url": "https://kjur.github.io/jsrsasign/"
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"affected_range": "\u003c=10.1.13",
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"cwe_ids": [
"CWE-1035",
"CWE-347",
"CWE-937"
],
"date": "2021-04-14",
"description": "In the jsrsasign package for Node.js, some invalid RSA PKCS#1 v1.5 signatures are mistakenly recognized to be valid. NOTE: there is no known practical attack.",
"fixed_versions": [
"10.2.0"
],
"identifier": "CVE-2021-30246",
"identifiers": [
"CVE-2021-30246"
],
"not_impacted": "All versions after 10.1.13",
"package_slug": "npm/jsrsasign",
"pubdate": "2021-04-07",
"solution": "Upgrade to version 10.2.0 or above.",
"title": "Improper Verification of Cryptographic Signature",
"urls": [
"https://nvd.nist.gov/vuln/detail/CVE-2021-30246"
],
"uuid": "33fe638f-56cb-4a6a-9b66-59f1e6be3aba"
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"version": "3.1"
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},
"lastModifiedDate": "2021-04-14T16:09Z",
"publishedDate": "2021-04-07T21:15Z"
}
}
}
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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 |
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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.
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- 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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