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GSD-2016-4000

Vulnerability from gsd - Updated: 2023-12-13 01:21
Details
Jython before 2.7.1rc1 allows attackers to execute arbitrary code via a crafted serialized PyFunction object.
Aliases
Aliases

{
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    "alias": "CVE-2016-4000",
    "description": "Jython before 2.7.1rc1 allows attackers to execute arbitrary code via a crafted serialized PyFunction object.",
    "id": "GSD-2016-4000",
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      "remediation": "unknown",
      "reportConfidence": "confirmed",
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      "id": "GSD-2016-4000",
      "modified": "2023-12-13T01:21:18.434351Z",
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          "affected_versions": "All versions up to 2.7.1b2",
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          "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-502",
            "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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          "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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          "date": "2022-07-06",
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          "pubdate": "2022-05-13",
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      "impact": {
        "baseMetricV2": {
          "cvssV2": {
            "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"
          },
          "exploitabilityScore": 10.0,
          "impactScore": 6.4,
          "obtainAllPrivilege": false,
          "obtainOtherPrivilege": false,
          "obtainUserPrivilege": false,
          "severity": "HIGH",
          "userInteractionRequired": false
        },
        "baseMetricV3": {
          "cvssV3": {
            "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"
          },
          "exploitabilityScore": 3.9,
          "impactScore": 5.9
        }
      },
      "lastModifiedDate": "2020-07-15T03:15Z",
      "publishedDate": "2017-07-06T16:29Z"
    }
  }
}



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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.

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  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
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