CVE-2019-25089 in Muon
Summary
by MITRE • 12/27/2022
A vulnerability has been found in Morgawr Muon 0.1.1 and classified as problematic. Affected by this vulnerability is an unknown functionality of the file src/muon/handler.clj. The manipulation leads to insufficiently random values. The attack can be launched remotely. Upgrading to version 0.2.0-indev is able to address this issue. The name of the patch is c09ed972c020f759110c707b06ca2644f0bacd7f. It is recommended to upgrade the affected component. The identifier VDB-216877 was assigned to this vulnerability.
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Analysis
by VulDB Data Team • 01/24/2023
The vulnerability identified as CVE-2019-25089 represents a critical weakness in the Morgawr Muon 0.1.1 software system, specifically within the file src/muon/handler.clj. This flaw falls under the category of insufficient random number generation, which is classified as CWE-330, indicating a weakness in cryptographic randomness. The vulnerability affects the core functionality of the application's random number generation mechanisms, which are fundamental to security operations including session management, cryptographic key generation, and authentication processes. The issue is particularly concerning because it allows for predictable outcomes that could be exploited by attackers to compromise system security.
The technical implementation of this vulnerability stems from inadequate entropy sources or flawed random number generation algorithms within the handler.clj file. When applications rely on insufficiently random values for security-sensitive operations, they become vulnerable to various attack vectors including session hijacking, cryptographic attacks, and prediction-based exploits. This weakness creates a predictable pattern that adversaries can potentially reverse engineer or exploit through statistical analysis and pattern recognition techniques. The vulnerability's remote exploitability means that attackers can leverage this flaw without requiring physical access to the system, making it particularly dangerous in networked environments where the software operates.
The operational impact of this vulnerability extends beyond simple functionality degradation to serious security compromise. Systems utilizing affected versions of Morgawr Muon may experience weakened cryptographic protections, making them susceptible to man-in-the-middle attacks, credential theft, and unauthorized access. The predictable nature of the random values can enable attackers to bypass authentication mechanisms, predict session tokens, or break encryption schemes that depend on proper randomization. This vulnerability directly impacts the confidentiality, integrity, and availability of systems relying on the software, particularly in environments where security is paramount such as financial services, healthcare, or government applications.
The recommended mitigation strategy involves upgrading to version 0.2.0-indev, which contains the patch c09ed972c020f759110c707b06ca2644f0bacd7f. This upgrade addresses the underlying random number generation implementation by incorporating proper entropy sources and cryptographic randomness algorithms. Organizations should also implement additional security measures including monitoring for suspicious activities, conducting thorough penetration testing, and ensuring that all related systems are updated to prevent exploitation. The vulnerability's classification as remote exploitable aligns with ATT&CK technique T1078.004, which covers valid accounts and credential access, as compromised random number generation can lead to credential compromise and unauthorized system access. Security teams should prioritize this remediation alongside other critical vulnerabilities to maintain overall system security posture and prevent potential exploitation by threat actors.