Skip to main content
Press slash or control plus K to focus the search. Use the arrow keys to navigate results and press enter to open a threat.
Reconnecting to live updates…

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

0
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: 09/07/2025, 00:32:45 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. The root cause is improper input validation (CWE-20) in the handling of external image sources. Under certain configurations, an attacker can supply a malicious external image URL that triggers the download of arbitrary files with attacker-controlled content and filenames. This behavior arises because the Image Optimization feature processes external images and can be manipulated to deliver files that are not legitimate images, effectively enabling content injection. The impact of this flaw is primarily the potential for phishing attacks or the delivery of malicious files disguised as images, which could deceive users into executing harmful payloads or disclosing sensitive information. The vulnerability does not directly compromise confidentiality or availability but undermines integrity by allowing unauthorized content injection. Exploitation requires no privileges but does require user interaction (e.g., clicking a link or loading a page). The vulnerability has been addressed in Next.js 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 currently no known exploits in the wild, but the ease of exploitation and potential for social engineering make this a relevant threat to web applications using affected Next.js versions.

Potential Impact

For European organizations, the vulnerability poses a risk mainly to web-facing applications built with the affected Next.js versions. Attackers could exploit this flaw to deliver malicious files or phishing content to end users, potentially leading to credential theft, malware infections, or reputational damage. Sectors with high reliance on web applications for customer interaction, such as e-commerce, finance, and public services, are particularly at risk. The ability to inject arbitrary content undermines user trust and could facilitate targeted phishing campaigns leveraging the organization's brand. Although the vulnerability does not directly lead to data breaches or system compromise, the indirect consequences of successful phishing or malware delivery can be severe. Additionally, regulatory frameworks like GDPR impose strict requirements on protecting user data and preventing phishing attacks, so failure to address this vulnerability could result in compliance issues and fines.

Mitigation Recommendations

European organizations should immediately audit their web applications to identify usage of Next.js versions prior to 14.2.31 or between 15.0.0 and 15.4.5. Upgrading to Next.js 14.2.31 or 15.4.5 (or later) is the primary and most effective mitigation. Where immediate upgrades are not feasible, organizations should consider disabling or restricting the Image Optimization feature, especially for external image sources, to prevent exploitation. Implementing strict Content Security Policies (CSP) that limit the domains from which images can be loaded can reduce exposure. Additionally, user education to recognize phishing attempts and suspicious downloads can mitigate the impact of social engineering attacks leveraging this vulnerability. Monitoring web traffic for unusual download patterns and employing web application firewalls (WAFs) with custom rules to detect and block suspicious image requests can provide additional layers of defense.

Need more detailed analysis?Get Pro

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: 9/7/2025, 12:32:45 AM

Last updated: 10/14/2025, 11:42:53 PM

Views: 83

Community Reviews

0 reviews

Crowdsource mitigation strategies, share intel context, and vote on the most helpful responses. Sign in to add your voice and help keep defenders ahead.

Sort by
Loading community insights…

Want to contribute mitigation steps or threat intel context? Sign in or create an account to join the community discussion.

Actions

PRO

Updates to AI analysis require Pro Console access. Upgrade inside Console → Billing.

Please log in to the Console to use AI analysis features.

Need enhanced features?

Contact root@offseq.com for Pro access with improved analysis and higher rate limits.

Latest Threats