GSD-2023-26155

Vulnerability from gsd - Updated: 2023-12-13 01:20
Details
All versions of the package node-qpdf are vulnerable to Command Injection such that the package-exported method encrypt() fails to sanitize its parameter input, which later flows into a sensitive command execution API. As a result, attackers may inject malicious commands once they can specify the input pdf file path.
Aliases
Aliases
CVE-2023-26155
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{
  "GSD": {
    "alias": "CVE-2023-26155",
    "id": "GSD-2023-26155"
  },
  "gsd": {
    "metadata": {
      "exploitCode": "unknown",
      "remediation": "unknown",
      "reportConfidence": "confirmed",
      "type": "vulnerability"
    },
    "osvSchema": {
      "aliases": [
        "CVE-2023-26155"
      ],
      "details": "All versions of the package node-qpdf are vulnerable to Command Injection such that the package-exported method encrypt() fails to sanitize its parameter input, which later flows into a sensitive command execution API. As a result, attackers may inject malicious commands once they can specify the input pdf file path.",
      "id": "GSD-2023-26155",
      "modified": "2023-12-13T01:20:53.583898Z",
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    }
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                    "product_name": "node-qpdf",
                    "version": {
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                        {
                          "version_affected": "\u003c",
                          "version_name": "0",
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                        }
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              },
              "vendor_name": "n/a"
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          "lang": "en",
          "value": "Xiao Feng"
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            "value": "All versions of the package node-qpdf are vulnerable to Command Injection such that the package-exported method encrypt() fails to sanitize its parameter input, which later flows into a sensitive command execution API. As a result, attackers may inject malicious commands once they can specify the input pdf file path."
          }
        ]
      },
      "impact": {
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            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
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            "baseScore": 7.3,
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            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L/E:P",
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        "reference_data": [
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            "name": "https://security.snyk.io/vuln/SNYK-JS-NODEQPDF-5747918",
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            "url": "https://security.snyk.io/vuln/SNYK-JS-NODEQPDF-5747918"
          },
          {
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            }
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          "impactScore": 5.9
        }
      },
      "lastModifiedDate": "2023-10-18T18:44Z",
      "publishedDate": "2023-10-14T05:15Z"
    }
  }
}



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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.

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