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CVE-2025-55173: CWE-20: Improper Input Validation in vercel next.js

Medium
VulnerabilityCVE-2025-55173cvecve-2025-55173cwe-20
Published: Fri Aug 29 2025 (08/29/2025, 22:00:05 UTC)
Source: CVE Database V5
Vendor/Project: vercel
Product: next.js

Description

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 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.

AI-Powered Analysis

AILast updated: 08/29/2025, 22:17:44 UTC

Technical Analysis

CVE-2025-55173 is a medium-severity vulnerability affecting the Next.js framework, specifically its Image Optimization feature. Next.js is a widely used React framework for building full-stack web applications. The vulnerability exists in versions prior to 14.2.31 and from 15.0.0 up to but not including 15.4.5. It stems from improper input validation (CWE-20) in the handling of external image sources. An attacker can exploit this flaw by supplying maliciously crafted external image URLs that cause the Next.js Image Optimization middleware to trigger file downloads with arbitrary content and filenames. This behavior can be abused to deliver malicious files or conduct phishing attacks by tricking users into downloading harmful payloads disguised as legitimate images. The vulnerability does not affect confidentiality directly but impacts integrity by enabling injection of arbitrary content and potentially user trust. Exploitation requires no privileges and no authentication but does require user interaction (e.g., clicking a link or loading a page with the malicious image). The vulnerability has been addressed in Next.js Middleware versions 14.2.31 and 15.4.5, and users are strongly advised to upgrade to these or later versions to mitigate the risk. There are no known exploits in the wild at the time of publication, but the ease of exploitation and potential for phishing make it a relevant threat to web applications using vulnerable Next.js versions.

Potential Impact

For European organizations, this vulnerability poses a risk primarily to web applications built with the affected Next.js versions that utilize the Image Optimization feature. The impact includes the potential for attackers to deliver malicious files or phishing payloads through trusted web properties, undermining user trust and potentially leading to credential theft, malware infection, or further compromise. Organizations in sectors with high web traffic, such as e-commerce, finance, media, and public services, could see reputational damage and user impact if exploited. While the vulnerability does not directly compromise data confidentiality or availability, the indirect effects through phishing or malware delivery can lead to broader security incidents. Given the widespread adoption of Next.js in Europe, especially among startups and digital service providers, the threat is relevant and should be addressed promptly to prevent abuse.

Mitigation Recommendations

Specific mitigation steps include: 1) Immediate upgrade of Next.js to versions 14.2.31 or 15.4.5 or later to apply the official patch. 2) Review and restrict the configuration of the Image Optimization feature to limit or validate allowed external image sources, employing allowlists where possible. 3) Implement Content Security Policy (CSP) headers to restrict the domains from which images and other resources can be loaded, reducing the risk of malicious external content. 4) Monitor web application logs for unusual requests or patterns involving image URLs that could indicate exploitation attempts. 5) Educate users and administrators about phishing risks related to file downloads triggered by web content. 6) Employ web application firewalls (WAFs) with rules tuned to detect and block suspicious image URL parameters or payloads targeting this vulnerability. These measures go beyond generic patching by adding layers of defense and detection tailored to the nature of this vulnerability.

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Technical Details

Data Version
5.1
Assigner Short Name
GitHub_M
Date Reserved
2025-08-07T18:27:23.309Z
Cvss Version
3.1
State
PUBLISHED

Threat ID: 68b22388ad5a09ad007bca25

Added to database: 8/29/2025, 10:02:48 PM

Last enriched: 8/29/2025, 10:17:44 PM

Last updated: 8/29/2025, 10:17:48 PM

Views: 2

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