GHSA-F24J-7VPH-7PQ3

Vulnerability from github – Published: 2026-02-03 18:30 – Updated: 2026-02-04 18:30
VLAI
Details

A Stored Cross-Site Scripting (XSS) vulnerability was discovered within the CSV import mechanism of ERPNext thru 15.88.1 when using the Update Existing Recordsoption. An attacker can embed malicious JavaScript code into a CSV field, which is then stored in the database and executed whenever the affected record is viewed by a user within the ERPNext web interface. This exposure may allow an attacker to compromise user sessions or perform unauthorized actions under the context of a victim's account.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2025-65923"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-79"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-02-03T18:16:15Z",
    "severity": "MODERATE"
  },
  "details": "A Stored Cross-Site Scripting (XSS) vulnerability was discovered within the CSV import mechanism of ERPNext thru 15.88.1 when using the Update Existing Recordsoption. An attacker can embed malicious JavaScript code into a CSV field, which is then stored in the database and executed whenever the affected record is viewed by a user within the ERPNext web interface. This exposure may allow an attacker to compromise user sessions or perform unauthorized actions under the context of a victim\u0027s account.",
  "id": "GHSA-f24j-7vph-7pq3",
  "modified": "2026-02-04T18:30:30Z",
  "published": "2026-02-03T18:30:47Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-65923"
    },
    {
      "type": "WEB",
      "url": "https://github.com/frappe/frappe_docker.git"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N",
      "type": "CVSS_V3"
    }
  ]
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

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.

Loading…

Loading…

Loading…

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.


Loading…