CVE-2026-7411
May 5, 2026, 7:31 p.m.
10.0
Critical
Description
In Eclipse BaSyx Java Server SDK versions prior to 2.0.0-milestone-10, inadequate path normalization in the Submodel HTTP API allows an unauthenticated remote attacker to perform a path traversal attack. By supplying a maliciously crafted fileName parameter during a file upload operation, an attacker can bypass intended storage boundaries and write arbitrary files to any location on the host filesystem accessible by the Java process. This can lead to Remote Code Execution (RCE) and complete system compromise.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Eclipse |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-22
Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
The product uses external input to construct a pathname that is intended to identify a file or directory that is located underneath a restricted parent directory, but the product does not properly neutralize special elements within the pathname that can cause the pathname to resolve to a location that is outside of the restricted directory.
*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 | eclipse | basyx_java_server_sdk | <2.0.0-milestone-10 | / | / | / | / | / | / |
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: NETWORK
- Attack Complexity: LOW
- Privileges Required: NONE
- Scope: CHANGED
- Confidentiality Impact: HIGH
- Integrity Impact: HIGH
- Availability Impact: HIGH
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H
Timeline
Published: May 5, 2026, 4:16 p.m.
Last Modified: May 5, 2026, 7:31 p.m.
Last Modified: May 5, 2026, 7:31 p.m.
Status : Awaiting Analysis
CVE has been recently published to the CVE List and has been received by the NVD.
More infoSource
*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.