CVE-2026-35463
April 8, 2026, 9:27 p.m.
8.8
High
Description
pyLoad is a free and open-source download manager written in Python. In 0.5.0b3.dev96 and earlier, the ADMIN_ONLY_OPTIONS protection mechanism restricts security-critical configuration values (reconnect scripts, SSL certs, proxy credentials) to admin-only access. However, this protection is only applied to core config options, not to plugin config options. The AntiVirus plugin stores an executable path (avfile) in its config, which is passed directly to subprocess.Popen(). A non-admin user with SETTINGS permission can change this path to achieve remote code execution.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Pyload |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-78
Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection')
The product constructs all or part of an OS command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended OS 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 | pyload | pyload | <0.5.0b3.dev96 | / | / | / | / | / | / | / |
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: NETWORK
- Attack Complexity: LOW
- Privileges Required: LOW
- Scope: UNCHANGED
- Confidentiality Impact: HIGH
- Integrity Impact: HIGH
- Availability Impact: HIGH
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Timeline
Published: April 7, 2026, 3:17 p.m.
Last Modified: April 8, 2026, 9:27 p.m.
Last Modified: April 8, 2026, 9:27 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.