Overview
The CVE-2025-9182 vulnerability is a critical denial-of-service (DoS) issue that impacts the Graphics: WebRender component in certain versions of Firefox and Thunderbird. Exploiting this vulnerability can lead to out-of-memory scenarios, potentially compromising the system or leading to data leakage. This vulnerability poses a significant threat to organizations and individuals using affected versions of these software products.
Vulnerability Summary
CVE ID: CVE-2025-9182
Severity: High (7.5 CVSS Score)
Attack Vector: Network
Privileges Required: None
User Interaction: Required
Impact: System compromise or data leakage due to Denial-of-Service (DoS)
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
Firefox | < 142 Firefox ESR | < 140.2 Thunderbird | < 142 Thunderbird ESR | < 140.2 How the Exploit Works
An attacker exploiting this vulnerability would send specially crafted data to the affected software. This data causes the Graphics: WebRender component to exhaust memory resources, resulting in a denial-of-service condition. This could potentially allow the attacker to execute arbitrary code or access sensitive information.
Conceptual Example Code
Below is a conceptual example of how the vulnerability might be exploited. This is not a real exploit, but it provides an idea of how an attacker might leverage this vulnerability:
POST /api/render HTTP/1.1
Host: target.example.com
Content-Type: application/json
{
"render_data": "<Long string of data causing memory exhaustion>"
}
In this example, the attacker sends a long string of data via a POST request to the vulnerable render API endpoint, causing an out-of-memory condition and triggering the vulnerability.
