Raw vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:NCVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.
Summary
CVE-2023-46127 is a medium-severity Cross-site Scripting (CWE-79) vulnerability in Frappe Frappe. Its CVSS base score is 5.4 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Protocol or Service Impersonation (T1001.003); ranked in the top 2% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
Frappe, a full-stack web application framework using Python and MariaDB, contains an HTML injection vulnerability (CWE-79) that permits creation of documents embedding arbitrary HTML payloads. The issue affects versions prior to 14.49.0 and is rated 5.4 under CVSS 3.1 (AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:N).
An authenticated Frappe user granted desk access can exploit the flaw remotely by submitting crafted documents, achieving limited disclosure or modification of content within the application without needing additional user interaction.
The project has published a fix in release 14.49.0, accompanied by commit 3dc5d2f and pull request 22339, as documented in GitHub security advisory GHSA-j2w9-8xrr-7g98.
EPSS remains flat at 0.2389 with no material increase after disclosure.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-50379
Vulnerability Data
Frappe is a full-stack web application framework that uses Python and MariaDB on the server side and an integrated client side library. A malicious Frappe user with desk access could create documents containing HTML payloads allowing HTML Injection. This vulnerability…
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has been patched in version 14.49.0.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V1.1.2V1.3.2
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Penetration testing submits XSS payloads to web applications, detecting cross-site scripting flaws for subsequent remediation.
Validates web inputs to reject script-related content that could produce XSS.
Output validation against expected content can reject or sanitize script content in generated web pages, reducing XSS exploitability.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
Secure SDLC practices directly target introduction of XSS via coding standards/testing (mostly), yet the single broad outcome leaves many specific neutralization vectors unaddressed (partial).
Patching and EOL replacement can remediate known XSS instances in libraries or frameworks (partial) but do nothing to enforce input neutralization in application code (none).
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
A.5.6 only promotes membership in groups to improve knowledge, receive alerts, and share information; it performs no action that stops XSS exploitation (or even the underlying neutralization defect) and is a pure dependency for other controls per the owner's labeling rule.