CVE-2018-3784 in Cryo
Summary
by MITRE
A code injection in cryo 0.0.6 allows an attacker to arbitrarily execute code due to insecure implementation of deserialization.
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Analysis
by VulDB Data Team • 03/16/2020
The vulnerability identified as CVE-2018-3784 resides within the cryo library version 0.0.6, a JavaScript serialization utility designed for efficient data transfer between Node.js applications. This flaw represents a critical security weakness that fundamentally compromises the integrity of applications relying on the library for data serialization and deserialization operations. The vulnerability stems from the library's insecure handling of serialized data structures, creating a pathway for malicious actors to inject arbitrary code during the deserialization process. The issue manifests when applications using cryo to process untrusted input fail to properly validate or sanitize the data before deserializing it, enabling attackers to craft malicious payloads that execute unintended commands on the target system.
The technical root cause of this vulnerability aligns with CWE-502, which specifically addresses "Deserialization of Untrusted Data" as a critical weakness in software systems. When cryo processes serialized data, it does not adequately validate the structure or content of the incoming payload, allowing attackers to manipulate the deserialization process to execute arbitrary code with the privileges of the running application. This type of vulnerability falls under the category of object-oriented deserialization flaws that have been extensively documented in cybersecurity literature and represent one of the most dangerous classes of vulnerabilities in modern web applications. The flaw operates at the intersection of software design and security implementation, where the convenience of automated data handling conflicts with the necessity of robust input validation and sanitization.
The operational impact of CVE-2018-3784 extends beyond simple code execution, potentially enabling full system compromise when applications using cryo are deployed in production environments. Attackers can leverage this vulnerability to gain unauthorized access to sensitive data, escalate privileges, or establish persistent backdoors within affected systems. The vulnerability is particularly dangerous because it can be exploited through various attack vectors including web applications, API endpoints, and any system that relies on cryo for data processing. Organizations using cryo 0.0.6 in their Node.js applications face significant risk of compromise, as the vulnerability can be exploited remotely without requiring special privileges or authentication. This makes it especially concerning for applications handling sensitive user data or operating in environments where security controls may be insufficient.
Mitigation strategies for CVE-2018-3784 require immediate action to address the root cause of the vulnerability. The primary recommendation involves upgrading to a patched version of the cryo library where the deserialization process has been properly secured with input validation and sanitization measures. Organizations should implement comprehensive application security testing including static and dynamic analysis to identify all instances where cryo is used and ensure proper input validation is implemented. The vulnerability demonstrates the importance of following secure coding practices as outlined in the OWASP Secure Coding Practices and aligns with ATT&CK technique T1059.006 for Command and Scripting Interpreter, where adversaries leverage deserialization vulnerabilities to execute malicious code. Additional mitigations include implementing network segmentation, using application firewalls, and establishing strict input validation policies that prevent untrusted data from reaching the deserialization layer. Security teams should also consider implementing runtime monitoring to detect anomalous behavior that might indicate exploitation attempts, as the vulnerability can be leveraged for both initial compromise and lateral movement within affected networks.