Raw vector
CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:C/C:L/I:H/A:LCVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.
Summary
CVE-2023-48705 is a high-severity Cross-site Scripting (CWE-79) vulnerability in Networktocode Nautobot. Its CVSS base score is 7.1 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Protocol or Service Impersonation (T1001.003); ranked at the 44th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-0179
Vulnerability Data
Nautobot is a Network Source of Truth and Network Automation Platform built as a web application All users of Nautobot versions earlier than 1.6.6 or 2.0.5 are potentially affected by a cross-site scripting vulnerability. Due to incorrect usage of Django's…
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`mark_safe()` API when rendering certain types of user-authored content; including custom links, job buttons, and computed fields; it is possible that users with permission to create or edit these types of content could craft a malicious payload (such as JavaScript code) that would be executed when rendering pages containing this content. The maintainers have fixed the incorrect uses of `mark_safe()` (generally by replacing them with appropriate use of `format_html()` instead) to prevent such malicious data from being executed. Users on Nautobot 1.6.x LTM should upgrade to v1.6.6 and users on Nautobot 2.0.x should upgrade to v2.0.5. Appropriate object permissions can and should be applied to restrict which users are permitted to create or edit the aforementioned types of user-authored content. Other than that, there is no direct workaround available.
- 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.