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GSD-2019-9792

Vulnerability from gsd - Updated: 2023-12-13 01:23
Details
The IonMonkey just-in-time (JIT) compiler can leak an internal JS_OPTIMIZED_OUT magic value to the running script during a bailout. This magic value can then be used by JavaScript to achieve memory corruption, which results in a potentially exploitable crash. This vulnerability affects Thunderbird < 60.6, Firefox ESR < 60.6, and Firefox < 66.
Aliases
Aliases

{
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    "alias": "CVE-2019-9792",
    "description": "The IonMonkey just-in-time (JIT) compiler can leak an internal JS_OPTIMIZED_OUT magic value to the running script during a bailout. This magic value can then be used by JavaScript to achieve memory corruption, which results in a potentially exploitable crash. This vulnerability affects Thunderbird \u003c 60.6, Firefox ESR \u003c 60.6, and Firefox \u003c 66.",
    "id": "GSD-2019-9792",
    "references": [
      "https://www.suse.com/security/cve/CVE-2019-9792.html",
      "https://www.debian.org/security/2019/dsa-4420",
      "https://www.debian.org/security/2019/dsa-4411",
      "https://access.redhat.com/errata/RHSA-2019:1144",
      "https://access.redhat.com/errata/RHSA-2019:0966",
      "https://access.redhat.com/errata/RHSA-2019:0681",
      "https://access.redhat.com/errata/RHSA-2019:0680",
      "https://access.redhat.com/errata/RHSA-2019:0623",
      "https://access.redhat.com/errata/RHSA-2019:0622",
      "https://ubuntu.com/security/CVE-2019-9792",
      "https://advisories.mageia.org/CVE-2019-9792.html",
      "https://security.archlinux.org/CVE-2019-9792",
      "https://linux.oracle.com/cve/CVE-2019-9792.html",
      "https://packetstormsecurity.com/files/cve/CVE-2019-9792"
    ]
  },
  "gsd": {
    "metadata": {
      "exploitCode": "unknown",
      "remediation": "unknown",
      "reportConfidence": "confirmed",
      "type": "vulnerability"
    },
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      "id": "GSD-2019-9792",
      "modified": "2023-12-13T01:23:47.744243Z",
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    }
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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"
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          "impactScore": 6.4,
          "obtainAllPrivilege": false,
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          "userInteractionRequired": false
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            "attackVector": "NETWORK",
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            "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
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      },
      "lastModifiedDate": "2022-03-30T18:49Z",
      "publishedDate": "2019-04-26T17:29Z"
    }
  }
}



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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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