CVE-2025-58357 in 5ire
Summary
by MITRE • 09/04/2025
5ire is a cross-platform desktop artificial intelligence assistant and model context protocol client. Version 0.13.2 contains a vulnerability in the chat page's script gadgets that enables content injection attacks through multiple vectors: malicious prompt injection pages, compromised MCP servers, and exploited tool integrations. This is fixed in version 0.14.0.
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
Analysis
by VulDB Data Team • 09/04/2025
The vulnerability identified as CVE-2025-58357 affects 5ire, a cross-platform desktop artificial intelligence assistant and model context protocol client that operates across multiple operating systems. This security flaw resides within the chat page's script gadgets component, representing a critical weakness in the application's defensive architecture. The vulnerability manifests as a content injection attack vector that can be exploited through three distinct pathways, creating multiple attack surfaces for malicious actors to compromise the system. The affected version 0.13.2 contains insufficient input validation and sanitization mechanisms that allow attackers to inject malicious content into the chat interface, potentially leading to unauthorized access or data manipulation. This issue represents a significant concern for users who rely on the application for sensitive conversations and data processing tasks.
The technical flaw stems from inadequate sanitization of user inputs within the chat page's script gadgets functionality, which operates under the model context protocol framework. This vulnerability allows for prompt injection attacks where malicious actors can craft specially designed prompts that bypass normal input validation checks. The attack surface expands through compromised MCP servers that can serve malicious content to the client application, as well as through exploited tool integrations that may be part of the broader AI assistant ecosystem. The root cause aligns with CWE-79, which describes cross-site scripting vulnerabilities, and CWE-94, which covers improper control of generation of code, indicating the presence of code injection weaknesses in the application's scripting environment. These weaknesses create opportunities for attackers to execute arbitrary code within the application context, potentially leading to complete system compromise.
The operational impact of CVE-2025-58357 extends beyond simple data corruption or unauthorized access, as the vulnerability can be leveraged to manipulate the AI assistant's behavior and potentially access sensitive information. Users may unknowingly interact with malicious content injected through compromised tool integrations or malicious prompt injection pages, leading to data exfiltration or system manipulation. The cross-platform nature of 5ire means that this vulnerability affects multiple operating systems, increasing the potential attack surface and making remediation more complex. The presence of multiple attack vectors, including compromised MCP servers and tool integrations, creates a multi-layered threat scenario where an attacker can exploit any one of these entry points to achieve their objectives. This vulnerability directly impacts the trust model of the AI assistant system, potentially undermining user confidence in the security of their conversations and data processing activities.
Mitigation strategies for CVE-2025-58357 require immediate action to upgrade to version 0.14.0, which contains the necessary patches to address the content injection vulnerabilities. Organizations should implement network monitoring to detect potential exploitation attempts through compromised MCP servers or malicious tool integrations. The application should be configured to enforce strict input validation and sanitization policies, particularly for user-generated content within chat interfaces. Security teams should conduct regular vulnerability assessments focusing on the model context protocol components and tool integration points. Additionally, users should be educated about the risks of interacting with untrusted prompt injection pages or tool integrations that may be part of the AI assistant ecosystem. The fix addresses the underlying issues by implementing proper content sanitization and validation mechanisms, aligning with ATT&CK technique T1059.007 for command and scripting interpreter, which targets script-based attacks. Organizations should also consider implementing network segmentation and access controls to limit the potential impact of any successful exploitation attempts, particularly in enterprise environments where the AI assistant may process sensitive data.