CVE-2024-8736
March 20, 2025, 4:15 p.m.
7.1
High
Description
A Denial of Service (DoS) vulnerability exists in multiple file upload endpoints of parisneo/lollms-webui version V12 (Strawberry). The vulnerability can be exploited remotely via Cross-Site Request Forgery (CSRF). Despite CSRF protection preventing file uploads, the application still processes multipart boundaries, leading to resource exhaustion. By appending additional characters to the multipart boundary, an attacker can cause the server to parse each byte of the boundary, ultimately leading to service unavailability. This vulnerability is present in the `/upload_avatar`, `/upload_app`, and `/upload_logo` endpoints.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Parisneo |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-400
Uncontrolled Resource Consumption
The product does not properly control the allocation and maintenance of a limited resource, thereby enabling an actor to influence the amount of resources consumed, eventually leading to the exhaustion of available resources.
*CPE(s)
Affected systems and software identified for this CVE.
| Type | Vendor | Product | Version | Update | Edition | Language | Software Edition | Target Software | Target Hardware | Other Information |
|---|---|---|---|---|---|---|---|---|---|---|
| a | parisneo | lollms-webui | V12 | / | / | / | / | / | / | / |
Tags
CVSS Score
CVSS Data - 3.0
- Attack Vector: NETWORK
- Attack Complexity: LOW
- Privileges Required: NONE
- Scope: UNCHANGED
- Confidentiality Impact: NONE
- Integrity Impact: LOW
- Availability Impact: HIGH
CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:L/A:H
Timeline
Published: March 20, 2025, 10:15 a.m.
Last Modified: March 20, 2025, 4:15 p.m.
Last Modified: March 20, 2025, 4:15 p.m.
Status : Awaiting Analysis
CVE has been recently published to the CVE List and has been received by the NVD.
More infoSource
security@huntr.dev
*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.