GSD-2016-4000
Vulnerability from gsd - Updated: 2023-12-13 01:21Details
Jython before 2.7.1rc1 allows attackers to execute arbitrary code via a crafted serialized PyFunction object.
Aliases
Aliases
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"exploitCode": "unknown",
"remediation": "unknown",
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{
"affected_range": "(,2.7.1b2]",
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"cvss_v2": "AV:N/AC:L/Au:N/C:P/I:P/A:P",
"cvss_v3": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"cwe_ids": [
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"CWE-937"
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"date": "2019-04-23",
"description": "This package allows attackers to execute arbitrary code via a crafted serialized PyFunction object.",
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"not_impacted": "All versions after 2.7.1b2",
"package_slug": "maven/org.python/jython-standalone",
"pubdate": "2017-07-06",
"solution": "Upgrade to version 2.7.1b3 or above.",
"title": "Deserialization Gadget",
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"https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2016-4000",
"https://github.com/frohoff/ysoserial/blob/master/src/main/java/ysoserial/payloads/Jython1.java"
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"cwe_ids": [
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"CWE-502",
"CWE-78",
"CWE-937"
],
"date": "2022-07-06",
"description": "Jython before 2.7.1rc1 allows attackers to execute arbitrary code via a crafted serialized PyFunction object.",
"fixed_versions": [
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"package_slug": "maven/org.python/jython",
"pubdate": "2022-05-13",
"solution": "Upgrade to version 2.7.1-rc1 or above. *Note*: 2.7.1-rc1 may be an unstable version. Use caution.",
"title": "Deserialization of Untrusted Data",
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"impact": {
"baseMetricV2": {
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"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"
},
"exploitabilityScore": 10.0,
"impactScore": 6.4,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "HIGH",
"userInteractionRequired": false
},
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"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9.8,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"version": "3.0"
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"exploitabilityScore": 3.9,
"impactScore": 5.9
}
},
"lastModifiedDate": "2020-07-15T03:15Z",
"publishedDate": "2017-07-06T16:29Z"
}
}
}
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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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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
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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.
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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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