Vulnerability-Lookup

GHSA-CPG4-P69M-3FQ5

Vulnerability from github – Published: 2025-12-18 00:34 – Updated: 2025-12-18 00:34

Details

A vulnerability in the file upload at bookmark + asset rendering pipeline allows an attacker to upload a malicious SVG file with JavaScript content. When an authenticated admin user views the SVG file with embedded JavaScript code of shared bookmark, JavaScript executes in the admin’s browser, retrieves the CSRF token, and sends a request to change the admin's password resulting in a full account takeover.

Severity

8.2 (High)


                  
                    CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:A/VC:H/VI:L/VA:N/SC:H/SI:N/SA:N

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{
  "affected": [],
  "aliases": [
    "CVE-2025-14202"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-79"
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    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-12-18T00:16:21Z",
    "severity": "HIGH"
  },
  "details": "A vulnerability in the file upload at bookmark + asset rendering pipeline allows an attacker to upload a malicious SVG file with JavaScript content. When an authenticated admin user views the SVG file with embedded JavaScript code of shared bookmark, JavaScript executes in the admin\u2019s browser, retrieves the CSRF token, and sends a request to change the admin\u0027s password resulting in a full account takeover.",
  "id": "GHSA-cpg4-p69m-3fq5",
  "modified": "2025-12-18T00:34:09Z",
  "published": "2025-12-18T00:34:09Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-14202"
    },
    {
      "type": "WEB",
      "url": "https://www.cve.org/cverecord?id=CVE-2025-14202"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:A/VC:H/VI:L/VA:N/SC:H/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
      "type": "CVSS_V4"
    }
  ]
}

CVE-2025-14202 (GCVE-0-2025-14202)

Vulnerability from cvelistv5 – Published: 2025-12-17 23:35 – Updated: 2025-12-18 15:33

Title

Cross-Site Request Forgery (CSRF) Leading to Account Takeover via SVG File Upload

Summary

Severity

8.2 (High)


                        
                          CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:A/VC:H/VI:L/VA:N/SC:H/SI:N/SA:N

SSVC

Exploitation: none Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-12-18 15:26 UTC

CWE

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

Assigner

Gridware CNA under the redhat root

CNA scorecard – unranked: 0 records in the last 180 days, 10 needed details

References

1 reference

URL	Tags
https://www.cve.org/cverecord?id=CVE-2025-14202

Impacted products

1 product

Vendor	Product	Version
Linkding	LinkDing	Affected: 1.44.1

Credits

Deema Alfehaid

Show details on NVD website

JSON

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        "metrics": [
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                "id": "CVE-2025-14202",
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                  },
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                    "Technical Impact": "partial"
                  }
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                "role": "CISA Coordinator",
                "timestamp": "2025-12-18T15:26:53.671822Z",
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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.
Browse all ATT&CK techniques and the vulnerabilities related to each.

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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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