CVE-2025-57521
Oct. 21, 2025, 9:15 p.m.
6.1
Medium
Description
Bambu Studio 2.1.1.52 and earlier is affected by a vulnerability that allows arbitrary code execution during application startup. The application loads a network plugin without validating its digital signature or verifying its authenticity. A local attacker can exploit this behavior by placing a malicious component in the expected location, which is controllable by the attacker (e.g., under %APPDATA%), resulting in code execution within the context of the user. The main application is digitally signed, which may allow a malicious component to inherit trust and evade detection by security solutions that rely on signed parent processes.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Bambu |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-77
Improper Neutralization of Special Elements used in a Command ('Command Injection')
The product constructs all or part of a command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended command when it is sent to a downstream component.
*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 | bambu | bambu_studio | / | / | / | / | / | / | / | / |
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: LOCAL
- Attack Complexity: LOW
- Privileges Required: LOW
- Scope: UNCHANGED
- Confidentiality Impact: LOW
- Integrity Impact: HIGH
- Availability Impact: NONE
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:L/I:H/A:N
Timeline
Published: Oct. 21, 2025, 3:15 p.m.
Last Modified: Oct. 21, 2025, 9:15 p.m.
Last Modified: Oct. 21, 2025, 9:15 p.m.
Status : Awaiting Analysis
CVE has been recently published to the CVE List and has been received by the NVD.
More infoSource
cve@mitre.org
*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.