Cyber Resilience

CVE-2025-55173

Medium

Published: 29 August 2025

Published
29 August 2025
Modified
08 September 2025
KEV Added
Patch
CVSS Score v3.1 4.3 CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:L/A:N
EPSS Score 0.0069 72.2th percentile
Risk Priority 9 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2025-55173 is a medium-severity Improper Input Validation (CWE-20) vulnerability in Vercel Next.Js. Its CVSS base score is 4.3 (Medium).

Operationally, ranked in the top 27.8% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.

EU & UK References

Vulnerability details

Next.js is a React framework for building full-stack web applications. In versions before 14.2.31 and from 15.0.0 to before 15.4.5, Next.js Image Optimization is vulnerable to content injection. The issue allowed attacker-controlled external image sources to trigger file downloads with…

more

arbitrary content and filenames under specific configurations. This behavior could be abused for phishing or malicious file delivery. This vulnerability has been fixed in Next.js versions 14.2.31 and 15.4.5.

CWE(s)

Related Threats

No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.

Affected Assets

vercel
next.js
≤ 14.2.31 · 15.0.0 — 15.4.5

Mitigating Controls

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.

addresses: CWE-20

Security testing and developer training directly verify and enforce proper input validation, reducing exploitability of injection and malformed-data weaknesses.

addresses: CWE-20

Security testing and evaluation at multiple SDLC stages directly detects missing or flawed input validation, with the required remediation process ensuring fixes are applied.

addresses: CWE-20

Directly implements checks on information inputs to reject invalid data before processing.

addresses: CWE-20

Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.

References