Overview
The CVE-2025-21459 is a significant security vulnerability primarily affecting the ML IE parsing per STA profile. This vulnerability can lead to a Transient Denial of Service (DOS) attack, compromising the functionality and potentially the security of affected systems. This matter is of significant concern to organizations and individuals alike due to the potential for system compromise and data leakage.
Vulnerability Summary
CVE ID: CVE-2025-21459
Severity: High (7.5)
Attack Vector: Network
Privileges Required: None
User Interaction: None
Impact: Potential system compromise and 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
ML IE Parsers | All versions prior to patch
How the Exploit Works
The exploit operates by taking advantage of the vulnerability in ML IE’s parsing of per STA profiles. An attacker can manipulate this weakness to cause a Transient DOS attack, which could temporarily disrupt the functionality of the system. With a successful exploit, the attacker could potentially gain unauthorized access to sensitive data or even take control of the system.
Conceptual Example Code
Below is a conceptual example of how the vulnerability might be exploited:
POST /MLIE/ParseSTAProfile HTTP/1.1
Host: target.example.com
Content-Type: application/xml
<STAProfile malicious_attribute="payload causing transient DOS">This example demonstrates an HTTP request that, when processed by the vulnerable ML IE parser, results in a Transient DOS attack.
In this example, `malicious_attribute` is an attribute manipulated by the attacker to include a payload that causes a Transient DOS when parsed. This exploit could lead to potential system compromise and data leakage if not promptly mitigated.