CVE-2023-27791 in EasyInstall
Summary
by MITRE • 10/25/2023
An issue found in IXP Data Easy Install 6.6.148840 allows a remote attacker to escalate privileges via insecure PRNG.
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Analysis
by VulDB Data Team • 11/23/2025
The vulnerability identified as CVE-2023-27791 resides within IXP Data Easy Install version 6.6.148840, representing a critical security flaw that enables remote privilege escalation through the exploitation of an insecure pseudo-random number generator. This weakness fundamentally undermines the system's ability to generate cryptographically secure random values, creating a pathway for attackers to bypass authentication mechanisms and gain elevated system privileges. The insecure PRNG implementation directly impacts the generation of session tokens, cryptographic keys, and other security-critical random values that are essential for maintaining system integrity and user authentication. According to CWE-330, this vulnerability falls under the category of insufficient entropy in random number generation, where the predictable nature of the generated values allows adversaries to reverse-engineer or guess critical security parameters.
The technical exploitation of this vulnerability occurs when a remote attacker can predict or reproduce the output of the insecure PRNG used by the application. This typically involves analyzing patterns in the generated numbers or leveraging knowledge of the seed values to anticipate future outputs. The attack vector is particularly dangerous because it requires no local access or prior authentication, making it a remote code execution threat that can be exploited from anywhere on the network. The attacker can leverage this predictability to forge authentication tokens, session identifiers, or cryptographic materials that would normally require legitimate user credentials or system access to generate. This weakness directly violates the principles outlined in the NIST SP 800-90A standard for random number generation, which mandates the use of cryptographically secure pseudo-random number generators for security-sensitive applications.
The operational impact of this vulnerability extends beyond simple privilege escalation to encompass potential full system compromise and unauthorized access to sensitive data. Once an attacker successfully exploits the insecure PRNG, they can assume the identity of any user within the system, including administrative accounts, and execute arbitrary commands with elevated privileges. This creates a significant risk for organizations relying on IXP Data Easy Install for network infrastructure management, as it could lead to complete network infiltration, data exfiltration, and disruption of critical services. The vulnerability also creates opportunities for lateral movement within networks, as attackers can use the gained privileges to pivot to other systems and expand their control. From an ATT&CK framework perspective, this vulnerability maps to techniques such as credential access and privilege escalation, specifically targeting the T1110.003 (Brute Force) and T1078 (Valid Accounts) techniques, as well as potentially enabling T1566 (Phishing) through compromised administrative credentials.
Organizations must implement immediate mitigations to address this vulnerability, beginning with the urgent application of vendor patches or updates that replace the insecure PRNG implementation with a cryptographically secure alternative. System administrators should conduct comprehensive vulnerability assessments to identify all instances of the affected software version and ensure proper patch management protocols are in place. Network segmentation and monitoring controls should be enhanced to detect anomalous behavior patterns that might indicate exploitation attempts, particularly around authentication and privilege escalation events. The remediation process should also include reviewing and strengthening all cryptographic implementations within the affected system to ensure compliance with industry standards such as FIPS 140-2 and NIST guidelines for secure random number generation. Additionally, organizations should consider implementing intrusion detection systems that can monitor for patterns consistent with PRNG prediction attacks and establish incident response procedures specifically tailored to address this type of vulnerability exploitation.