What is the CVSS score of CVE-2025-41362?

CVE-2025-41362 has a CVSS 4.0 base score of 5.3 (Medium). CVSS vector: CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:N/SC:L/SI:L/SA:N. EPSS exploitation probability: 0.1%.

Which versions of IDF are affected by CVE-2025-41362?

Organizations using IDF should be aware of moderate risk from CVE-2025-41362, a code injection vulnerability rated CVSS 5.3.. A patch is available.

How to fix or mitigate CVE-2025-41362?

Within 30 days: Identify affected systems running IDF and apply vendor patches as part of regular patch cycle. Validate input sanitization for user-controlled parameters.

IDF CVE-2025-41362

EUVD-2025-17126 MEDIUM

Code Injection (CWE-94)

2025-06-06 cve-coordination@incibe.es

RCE Code Injection

5.3

CVSS 4.0 · NVD

Severity by source

NVD PRIMARY

5.3 MEDIUM

CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:N/SC:L/SI:L/SA:N

Primary rating from NVD · only source for this CVE.

CVSS VectorNVD

CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:N/SC:L/SI:L/SA:N

Attack Vector

Network

Attack Complexity

Low

Privileges Required

Low

User Interaction

None

Lifecycle Timeline

Patch available

Apr 16, 2026 - 05:29 EUVD

1.1.0

EUVD ID Assigned

Mar 14, 2026 - 18:10 euvd

EUVD-2025-17126

Analysis Generated

Mar 14, 2026 - 18:10 vuln.today

CVE Published

Jun 06, 2025 - 12:15 nvd

MEDIUM 5.3

DescriptionCVE.org

Code injection vulnerability in IDF v0.10.0-0C03-03 and ZLF v0.10.0-0C03-04. This vulnerability allows an attacker to store malicious payload in software that will run in the victim's browser. Exploiting this vulnerability requires authenticating to the device and executing certain commands that can be executed with view permission.

Analysis

Technical ContextAI

Remote code execution allows an attacker to run arbitrary commands or code on the target system over a network without prior authentication. This vulnerability is classified as Code Injection (CWE-94).

RemediationAI

Apply vendor patches immediately. Restrict network access to vulnerable services. Implement network segmentation and monitoring for anomalous activity.