Vulnerability-Lookup

CVE-2023-3077 (GCVE-0-2023-3077)

Vulnerability from cvelistv5 – Published: 2023-07-10 12:40 – Updated: 2024-11-12 14:05

Title

MStore API < 3.9.8 - Unauthenticated Blind SQLi

Summary

The MStore API WordPress plugin before 3.9.8 does not sanitise and escape a parameter before using it in a SQL statement, leading to a Blind SQL injection exploitable by unauthenticated users. This is only exploitable if the site owner elected to pay to get access to the plugins' pro features, and uses the woocommerce-appointments plugin.

Severity

No CVSS data available.

SSVC

Exploitation: poc Automatable: yes Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2024-11-12 14:05 UTC

CWE

CWE-89 SQL Injection

Assigner

WPScan mitre root

References

1 reference

URL	Tags
https://wpscan.com/vulnerability/9480d0b5-97da-46…	exploitvdb-entrytechnical-description

Impacted products

1 product

Vendor	Product	Version	CPE status
Unknown	MStore API	Affected: 0 , < 3.9.8 (custom)	guessed

Credits

Truoc Phan WPScan

Show details on NVD website

JSON

To clipboard

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FKIE_CVE-2023-3077

Vulnerability from fkie_nvd - Published: 2023-07-10 16:15 - Updated: 2026-06-17 06:13

Severity

9.8 (Critical) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Summary

References

	URL	Tags
	contact@wpscan.com	https://wpscan.com/vulnerability/9480d0b5-97da-467d-98f6-71a32599a432	Exploit, Third Party Advisory
	af854a3a-2127-422b-91ae-364da2661108	https://wpscan.com/vulnerability/9480d0b5-97da-467d-98f6-71a32599a432	Exploit, Third Party Advisory

Impacted products

	Vendor	Product	Version
	inspireui	mstore_api	*

JSON

To clipboard

{
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    {
      "affectedData": [
        {
          "collectionURL": "https://wordpress.org/plugins",
          "defaultStatus": "unaffected",
          "product": "MStore API",
          "vendor": "Unknown",
          "versions": [
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              "lessThan": "3.9.8",
              "status": "affected",
              "version": "0",
              "versionType": "custom"
            }
          ]
        }
      ],
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    }
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  ],
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GHSA-95VF-7JGR-4C75

Vulnerability from github – Published: 2023-07-10 18:30 – Updated: 2024-04-04 05:53

Details

Severity

9.8 (Critical)


                  
                    CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Show details on source website

JSON

To clipboard

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  "affected": [],
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    "CVE-2023-3077"
  ],
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      "CWE-89"
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    "github_reviewed": false,
    "github_reviewed_at": null,
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    "severity": "CRITICAL"
  },
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  "id": "GHSA-95vf-7jgr-4c75",
  "modified": "2024-04-04T05:53:26Z",
  "published": "2023-07-10T18:30:49Z",
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      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-3077"
    },
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      "type": "CVSS_V3"
    }
  ]
}

GSD-2023-3077

Vulnerability from gsd - Updated: 2023-12-13 01:20

Details

Aliases

CVE-2023-3077

Aliases

CVE-2023-3077

JSON

To clipboard

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    "id": "GSD-2023-3077"
  },
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        "data_version": "4.0",
        "description": {
          "description_data": [
            {
              "lang": "en",
              "value": "The MStore API WordPress plugin before 3.9.8 does not sanitise and escape a parameter before using it in a SQL statement, leading to a Blind SQL injection exploitable by unauthenticated users. This is only exploitable if the site owner elected to pay to get access to the plugins\u0027 pro features, and uses the woocommerce-appointments plugin."
            }
          ]
        },
        "problemtype": {
          "problemtype_data": [
            {
              "description": [
                {
                  "lang": "en",
                  "value": "CWE-89"
                }
              ]
            }
          ]
        },
        "references": {
          "reference_data": [
            {
              "name": "https://wpscan.com/vulnerability/9480d0b5-97da-467d-98f6-71a32599a432",
              "refsource": "MISC",
              "tags": [
                "Exploit",
                "Third Party Advisory"
              ],
              "url": "https://wpscan.com/vulnerability/9480d0b5-97da-467d-98f6-71a32599a432"
            }
          ]
        }
      },
      "impact": {
        "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:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
            "version": "3.1"
          },
          "exploitabilityScore": 3.9,
          "impactScore": 5.9
        }
      },
      "lastModifiedDate": "2023-07-17T18:25Z",
      "publishedDate": "2023-07-10T16:15Z"
    }
  }
}

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.

Detection rules are retrieved from Rulezet.

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.

Action not permitted

CVE-2023-3077 (GCVE-0-2023-3077)

FKIE_CVE-2023-3077

GHSA-95VF-7JGR-4C75

GSD-2023-3077

Tags

Sightings

Nomenclature

Related by attack behaviour