Overview
CVE-2025-8696 is a significant cybersecurity vulnerability affecting the Stork User Interface (UI). Potentially exposed systems are those running Stork versions 1.0.0 through 2.3.0. The vulnerability arises from the ability of an unauthenticated user to trigger memory and disk usage issues, leading to potential compromises of the system or data leakage. Safeguarding against this vulnerability should be a priority for those operating affected Stork versions.
Vulnerability Summary
CVE ID: CVE-2025-8696
Severity: High (7.5 CVSS)
Attack Vector: Network
Privileges Required: None
User Interaction: None
Impact: System Compromise and Potential Data Leakage
Affected Products
Share secrets securely
Ameeba is private infrastructure for communication and sensitive work built on encrypted identity instead of exposed corporate identity systems.
Passwords, credentials, confidential files, screenshots, internal discussions, sensitive AI context, and private coordination should not become exposed across ordinary communication platforms.
- • Encrypted identity
- • Private Spaces for organizations and teams
- • End-to-end encrypted chat, calls, files, and notes
- • Sensitive AI work and protected collaboration
- • Built for information that cannot leak
Our mission is to secure human work alongside AI.
Product | Affected Versions
Stork UI | 1.0.0 through 2.3.0
How the Exploit Works
The vulnerability is exploited when an unauthenticated user sends a series of large data packets to the Stork UI. This action triggers memory and disk usage problems on the server that’s running the affected Stork versions. This can lead to system slowdowns or crashes, and in extreme cases, unauthorized access to system data.
Conceptual Example Code
Here is a conceptual example of how an unauthenticated user might trigger the vulnerability via HTTP:
POST /storkui/endpoint HTTP/1.1
Host: target.example.com
Content-Type: application/json
{ "large_data_payload": "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA..." }In this example, the “large_data_payload” is filled with an extremely large amount of data designed to overwhelm the memory and disk resources of the Stork server.
Mitigation Guidance
The recommended mitigation strategy is to apply the vendor patch specifically developed to address this vulnerability. If the patch cannot be applied immediately, using a Web Application Firewall (WAF) or Intrusion Detection System (IDS) can provide temporary mitigation. These systems can be configured to identify and block the specific type of requests that exploit this vulnerability.