GSD-2020-1964
Vulnerability from gsd - Updated: 2023-12-13 01:21Details
It was noticed that Apache Heron 0.20.2-incubating, Release 0.20.1-incubating, and Release v-0.20.0-incubating does not configure its YAML parser to prevent the instantiation of arbitrary types, resulting in a remote code execution vulnerabilities (CWE-502: Deserialization of Untrusted Data).
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2020-1964",
"description": "It was noticed that Apache Heron 0.20.2-incubating, Release 0.20.1-incubating, and Release v-0.20.0-incubating does not configure its YAML parser to prevent the instantiation of arbitrary types, resulting in a remote code execution vulnerabilities (CWE-502: Deserialization of Untrusted Data).",
"id": "GSD-2020-1964"
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"id": "GSD-2020-1964",
"modified": "2023-12-13T01:21:57.989243Z",
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"advisories": [
{
"affected_range": "[0.20.0-incubating,0.20.2-incubating]",
"affected_versions": "All versions starting from 0.20.0-incubating up to 0.20.2-incubating",
"cvss_v2": "AV:N/AC:L/Au:N/C:P/I:P/A:P",
"cvss_v3": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"cwe_ids": [
"CWE-1035",
"CWE-502",
"CWE-78",
"CWE-937"
],
"date": "2022-01-06",
"description": "It was noticed that Apache Heron 0.20.2-incubating, Release 0.20.1-incubating, and Release v-0.20.0-incubating does not configure its YAML parser to prevent the instantiation of arbitrary types, resulting in a remote code execution vulnerabilities (CWE-502: Deserialization of Untrusted Data).",
"fixed_versions": [
"0.20.3-incubating"
],
"identifier": "CVE-2020-1964",
"identifiers": [
"GHSA-hjgm-f7vx-m5g7",
"CVE-2020-1964"
],
"not_impacted": "All versions before 0.20.0-incubating, all versions after 0.20.2-incubating",
"package_slug": "maven/org.apache.heron/heron-simulator",
"pubdate": "2022-01-06",
"solution": "Upgrade to version 0.20.3-incubating or above.",
"title": "Deserialization of Untrusted Data",
"urls": [
"https://nvd.nist.gov/vuln/detail/CVE-2020-1964",
"https://github.com/advisories/GHSA-hjgm-f7vx-m5g7"
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"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 7.5,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:L/Au:N/C:P/I:P/A:P",
"version": "2.0"
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"exploitabilityScore": 10.0,
"impactScore": 6.4,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "HIGH",
"userInteractionRequired": false
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"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9.8,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
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"impactScore": 5.9
}
},
"lastModifiedDate": "2020-06-15T21:15Z",
"publishedDate": "2020-04-16T19:15Z"
}
}
}
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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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