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GHSA-J2C4-GM52-5CF5

Vulnerability from github – Published: 2022-05-24 17:37 – Updated: 2022-05-24 17:37
VLAI
Details

CSE Bookstore version 1.0 is vulnerable to time-based blind, boolean-based blind and OR error-based SQL injection in pubid parameter in bookPerPub.php and in cart.php. A successful exploitation of this vulnerability will lead to an attacker dumping the entire database on which the web application is running.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2020-36112"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-89"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2021-01-04T15:15:00Z",
    "severity": "CRITICAL"
  },
  "details": "CSE Bookstore version 1.0 is vulnerable to time-based blind, boolean-based blind and OR error-based SQL injection in pubid parameter in bookPerPub.php and in cart.php. A successful exploitation of this vulnerability will lead to an attacker dumping the entire database on which the web application is running.",
  "id": "GHSA-j2c4-gm52-5cf5",
  "modified": "2022-05-24T17:37:57Z",
  "published": "2022-05-24T17:37:57Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2020-36112"
    },
    {
      "type": "WEB",
      "url": "https://www.exploit-db.com/exploits/49314"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}



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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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Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.


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