Vulnerability-Lookup

GHSA-C453-G432-3M38

Vulnerability from github – Published: 2022-01-26 00:01 – Updated: 2022-01-29 00:00

Details

MartDevelopers iResturant 1.0 is vulnerable to SQL Injection. SQL Injection occurs because this view parameter value is added to the SQL query without additional verification when viewing reservation.

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{
  "affected": [],
  "aliases": [
    "CVE-2021-45803"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-89"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2022-01-25T13:15:00Z",
    "severity": "HIGH"
  },
  "details": "MartDevelopers iResturant 1.0 is vulnerable to SQL Injection. SQL Injection occurs because this view parameter value is added to the SQL query without additional verification when viewing reservation.",
  "id": "GHSA-c453-g432-3m38",
  "modified": "2022-01-29T00:00:55Z",
  "published": "2022-01-26T00:01:43Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-45803"
    },
    {
      "type": "WEB",
      "url": "https://blog.pocas.kr/posts/sqli-iResturant-2"
    },
    {
      "type": "WEB",
      "url": "https://gist.github.com/P0cas/5aa55f62781364a750ac4a4d47f319fa#cve-2021-45803"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}

CVE-2021-45803 (GCVE-0-2021-45803)

Vulnerability from cvelistv5 – Published: 2022-01-25 12:56 – Updated: 2024-08-04 04:54

Summary

Severity

No CVSS data available.

CWE

Assigner

mitre CNA under the mitre root

CNA scorecard E 28/100 over 2319 records in the last 180 days details

References

2 references

URL	Tags
https://blog.pocas.kr/posts/sqli-iResturant-2/	x_refsource_MISC
https://gist.github.com/P0cas/5aa55f62781364a750a…	x_refsource_MISC

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{
  "containers": {
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      {
        "providerMetadata": {
          "dateUpdated": "2024-08-04T04:54:29.417Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
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        },
        "references": [
          {
            "tags": [
              "x_refsource_MISC",
              "x_transferred"
            ],
            "url": "https://blog.pocas.kr/posts/sqli-iResturant-2/"
          },
          {
            "tags": [
              "x_refsource_MISC",
              "x_transferred"
            ],
            "url": "https://gist.github.com/P0cas/5aa55f62781364a750ac4a4d47f319fa#cve-2021-45803"
          }
        ],
        "title": "CVE Program Container"
      }
    ],
    "cna": {
      "affected": [
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          "product": "n/a",
          "vendor": "n/a",
          "versions": [
            {
              "status": "affected",
              "version": "n/a"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "MartDevelopers iResturant 1.0 is vulnerable to SQL Injection. SQL Injection occurs because this view parameter value is added to the SQL query without additional verification when viewing reservation."
        }
      ],
      "problemTypes": [
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          "descriptions": [
            {
              "description": "n/a",
              "lang": "en",
              "type": "text"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2022-01-25T12:56:37.000Z",
        "orgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
        "shortName": "mitre"
      },
      "references": [
        {
          "tags": [
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          ],
          "url": "https://blog.pocas.kr/posts/sqli-iResturant-2/"
        },
        {
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://gist.github.com/P0cas/5aa55f62781364a750ac4a4d47f319fa#cve-2021-45803"
        }
      ],
      "x_legacyV4Record": {
        "CVE_data_meta": {
          "ASSIGNER": "cve@mitre.org",
          "ID": "CVE-2021-45803",
          "STATE": "PUBLIC"
        },
        "affects": {
          "vendor": {
            "vendor_data": [
              {
                "product": {
                  "product_data": [
                    {
                      "product_name": "n/a",
                      "version": {
                        "version_data": [
                          {
                            "version_value": "n/a"
                          }
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                "vendor_name": "n/a"
              }
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            }
          ]
        },
        "problemtype": {
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        },
        "references": {
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            },
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  },
  "cveMetadata": {
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    "datePublished": "2022-01-25T12:56:37.000Z",
    "dateReserved": "2021-12-27T00:00:00.000Z",
    "dateUpdated": "2024-08-04T04:54:29.417Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1"
}

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.
Published Proof of Concept: A public proof of concept is available for this vulnerability.
Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
Not confirmed: The user expressed doubt about the validity of the vulnerability.
Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. 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.
Browse all ATT&CK techniques and the vulnerabilities related to each.

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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