CVE-2024-36389 in DeviceHubinfo

Summary

by MITRE • 06/02/2024

MileSight DeviceHub -





CWE-330 Use of Insufficiently Random Values may allow Authentication Bypass

Be aware that VulDB is the high quality source for vulnerability data.

Analysis

by VulDB Data Team • 06/03/2024

The MileSight DeviceHub vulnerability identified as CVE-2024-36389 represents a critical security flaw categorized under CWE-330, which specifically addresses the use of insufficiently random values in authentication mechanisms. This vulnerability resides within the DeviceHub system that manages and controls various IoT devices, creating a significant risk for organizations relying on secure device management infrastructure. The flaw manifests when the system employs predictable or inadequately randomized values during authentication processes, potentially allowing unauthorized access to device management interfaces and associated functionalities.

The technical implementation of this vulnerability stems from the DeviceHub's insufficient randomization of authentication tokens, session identifiers, or cryptographic keys used during the authentication workflow. When cryptographic functions fail to produce sufficiently random outputs, attackers can potentially predict or reproduce these values through statistical analysis or pattern recognition techniques. This weakness directly impacts the system's ability to distinguish legitimate users from unauthorized entities, effectively undermining the entire authentication framework. The insufficient randomness may be evident in the pseudo-random number generation algorithms used for creating access tokens, password reset codes, or session management elements that are critical for maintaining secure device access.

The operational impact of this vulnerability extends beyond simple unauthorized access, potentially enabling attackers to gain full administrative control over connected IoT devices managed by the DeviceHub. An attacker exploiting this flaw could bypass authentication mechanisms to modify device configurations, access sensitive data, or even disrupt operations of critical infrastructure components. The risk is particularly severe in industrial environments where DeviceHub systems manage multiple devices across different operational zones, as a successful bypass could lead to cascading security failures throughout the entire network. Organizations may experience unauthorized data exfiltration, device manipulation, or complete loss of operational control over their managed IoT ecosystem.

Mitigation strategies for this vulnerability require immediate implementation of robust cryptographic random number generation mechanisms throughout the DeviceHub system. Security teams should ensure that all authentication-related values utilize cryptographically secure pseudo-random number generators that meet industry standards such as those defined in NIST SP 800-90A for random number generation. The system should undergo comprehensive security auditing to identify all instances where insufficiently random values are used, particularly in session management, token generation, and authentication challenge-response mechanisms. Additionally, organizations should implement regular security assessments and penetration testing to validate the randomness quality of generated values, ensuring compliance with established security frameworks and preventing potential exploitation attempts that could leverage the predictable nature of the flawed randomization algorithms.

Reservation

05/27/2024

Disclosure

06/02/2024

Moderation

accepted

CPE

ready

EPSS

0.00519

KEV

no

Activities

very low

Sources

Do you want to use VulDB in your project?

Use the official API to access entries easily!