Vulnerability-Lookup

GHSA-G6WP-8W8C-MGF4

Vulnerability from github – Published: 2022-05-14 01:42 – Updated: 2022-05-14 01:42

Details

ext_find_user in eXtplorer through 2.1.2 allows remote attackers to bypass authentication via a password[]= (aka an empty array) in an action=login request to index.php.

Severity

9.8 (Critical)


                  
                    CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Show details on source website

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{
  "affected": [],
  "aliases": [
    "CVE-2012-6710"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-287"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2018-10-07T18:29:00Z",
    "severity": "CRITICAL"
  },
  "details": "ext_find_user in eXtplorer through 2.1.2 allows remote attackers to bypass authentication via a password[]= (aka an empty array) in an action=login request to index.php.",
  "id": "GHSA-g6wp-8w8c-mgf4",
  "modified": "2022-05-14T01:42:26Z",
  "published": "2022-05-14T01:42:26Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2012-6710"
    },
    {
      "type": "WEB",
      "url": "https://www.securityfocus.com/bid/57058"
    },
    {
      "type": "WEB",
      "url": "http://itsecuritysolutions.org/2012-12-31-eXtplorer-v2.1-authentication-bypass-vulnerability"
    },
    {
      "type": "WEB",
      "url": "http://www.cnnvd.org.cn/web/xxk/ldxqById.tag?CNNVD=CNNVD-201212-371"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2012-6710 (GCVE-0-2012-6710)

Vulnerability from cvelistv5 – Published: 2018-10-07 18:00 – Updated: 2024-08-06 21:36

Summary

ext_find_user in eXtplorer through 2.1.2 allows remote attackers to bypass authentication via a password[]= (aka an empty array) in an action=login request to index.php.

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

3 references

URL	Tags
http://www.cnnvd.org.cn/web/xxk/ldxqById.tag?CNNV…	x_refsource_MISC
https://www.securityfocus.com/bid/57058	vdb-entryx_refsource_BID
http://itsecuritysolutions.org/2012-12-31-eXtplor…	x_refsource_MISC

Date Public

2018-10-07 00:00

Show details on NVD website

JSON

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          "dateUpdated": "2024-08-06T21:36:02.195Z",
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            "url": "http://www.cnnvd.org.cn/web/xxk/ldxqById.tag?CNNVD=CNNVD-201212-371"
          },
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            "url": "http://itsecuritysolutions.org/2012-12-31-eXtplorer-v2.1-authentication-bypass-vulnerability"
          }
        ],
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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.

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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.
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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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