Vulnerability-Lookup

GHSA-2PC2-WXGF-M9MM

Vulnerability from github – Published: 2024-08-06 15:30 – Updated: 2024-08-15 18:31

Details

Cross-Site Scripting (XSS) vulnerability in School Event Management System affecting version 1.0. An attacker could exploit this vulnerability by sending a specially crafted javascript payload to an authenticated user and partially take over their browser session via the 'id' and 'view' parameters in '/user/index.php'.

Severity

7.1 (High)


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

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  "affected": [],
  "aliases": [
    "CVE-2024-33990"
  ],
  "database_specific": {
    "cwe_ids": [
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    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-08-06T13:15:54Z",
    "severity": "HIGH"
  },
  "details": "Cross-Site Scripting (XSS) vulnerability in School Event Management System affecting version 1.0. An attacker could exploit this vulnerability by sending a specially crafted javascript payload to an authenticated user and partially take over their browser session via the\u00a0\u0027id\u0027 and \u0027view\u0027 parameters in \u0027/user/index.php\u0027.",
  "id": "GHSA-2pc2-wxgf-m9mm",
  "modified": "2024-08-15T18:31:45Z",
  "published": "2024-08-06T15:30:52Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-33990"
    },
    {
      "type": "WEB",
      "url": "https://www.incibe.es/en/incibe-cert/notices/aviso/multiple-vulnerabilities-janobe-products"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
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      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:L",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2024-33990 (GCVE-0-2024-33990)

Vulnerability from cvelistv5 – Published: 2024-08-06 13:06 – Updated: 2024-08-06 14:34

Title

Cross-Site Scripting (XSS) vulnerability in Janobe School Event Management System

Summary

Severity

7.1 (High)


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

SSVC

Exploitation: none Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2024-08-06 14:06 UTC

CWE

CWE-79 - Improper Neutralization of Input During Web Page Generation (XSS or 'Cross-site Scripting')

Assigner

INCIBE INCIBE root

References

1 reference

URL	Tags
https://www.incibe.es/en/incibe-cert/notices/avis…

Impacted products

1 product

Vendor	Product	Version
Janobe	School Event Management System	Affected: 1.0

Date Public

2024-08-06 10:00

Credits

Rafael Pedrero

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JSON

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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.

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.