CVE-2025-56139 in Mobile App
Summary
by MITRE • 09/03/2025
LinkedIn Mobile Application for Android version 4.1.1087.2 fails to update link preview metadata (image, title, description) when a user replaces the original URL in a post or comment before publishing. As a result, the stale preview remains visible while the clickable link points to a different URL, which can be malicious. This UI misrepresentation enables attackers to deceive users by displaying trusted previews for harmful links, facilitating phishing attacks and user confusion.
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Analysis
by VulDB Data Team • 09/03/2025
This vulnerability in LinkedIn's Android mobile application represents a critical UI deception flaw that undermines user trust and security expectations. The issue manifests when users edit URLs within posts or comments before publishing, specifically failing to refresh the associated link preview metadata including image, title, and description fields. This technical oversight creates a persistent discrepancy between the visual representation and the actual destination of the hyperlink, allowing attackers to exploit this inconsistency for malicious purposes. The vulnerability directly impacts the application's integrity by enabling false representations that can mislead users into believing they are clicking on legitimate content when in fact they are navigating to potentially harmful destinations.
The underlying technical flaw stems from improper state management and metadata synchronization within the application's content editing workflow. When a user modifies a URL in a post or comment, the system should invalidate and regenerate the preview metadata to reflect the new destination. However, the current implementation maintains the original preview data, creating a stale representation that persists even after URL changes. This behavior indicates a failure in the application's update mechanisms and suggests inadequate validation of content state transitions. The vulnerability operates at the user interface level, specifically within the link handling and preview generation components, making it particularly dangerous as it exploits user expectations and trust in the platform's visual cues.
The operational impact of this vulnerability extends beyond simple deception to enable sophisticated phishing attacks and social engineering campaigns. Attackers can craft malicious links that display trusted LinkedIn branding and content previews while redirecting users to harmful websites designed to harvest credentials or install malware. This creates a significant risk for users who may inadvertently click on what appears to be legitimate content, especially in professional contexts where LinkedIn's reputation is paramount. The vulnerability particularly affects users in corporate environments where they may be more susceptible to targeted attacks, as the familiar LinkedIn interface provides a convincing facade for malicious activities. The persistent nature of the stale preview means that even after the URL change, users continue to see misleading information, potentially leading to repeated exposure and increased attack success rates.
From a security framework perspective, this vulnerability aligns with CWE-691, which addresses insufficient protection of embedded content, and represents a UI security weakness that could be categorized under ATT&CK technique T1566.001 for credential harvesting through phishing. The flaw demonstrates poor input validation and inadequate state management practices that violate security best practices for web and mobile application development. Organizations should implement immediate mitigations including automatic metadata regeneration upon URL changes, enhanced preview validation, and user awareness training about the potential for UI deception. Additionally, the application should enforce strict preview refresh mechanisms and consider implementing additional verification steps before publishing content that contains modified links, ensuring that all visual elements accurately reflect the intended destination and maintaining user trust in the platform's integrity.