CVE-2023-38372 in Watson IoT Platform
Summary
by MITRE • 02/29/2024
An unauthorized attacker who has obtained an IBM Watson IoT Platform 1.0 security authentication token can use it to impersonate an authorized platform user. IBM X-Force ID: 261201.
Be aware that VulDB is the high quality source for vulnerability data.
Analysis
by VulDB Data Team • 02/14/2025
The vulnerability identified as CVE-2023-38372 represents a critical authorization flaw within the IBM Watson IoT Platform version 1.0 that enables unauthorized attackers to exploit valid security authentication tokens for user impersonation. This issue stems from insufficient token validation mechanisms that fail to properly verify the authenticity and integrity of authentication tokens issued by the platform. The vulnerability specifically affects the platform's ability to distinguish between legitimate and malicious token usage, creating a pathway for attackers to leverage stolen or compromised tokens to assume the identity of authorized users within the IoT ecosystem.
The technical implementation of this vulnerability involves a weakness in the token-based authentication system where the platform accepts authentication tokens without performing adequate verification of their source, expiration, or intended usage context. This flaw allows attackers to reuse valid tokens in unauthorized contexts, effectively bypassing the platform's user authentication controls. The vulnerability manifests when the system fails to implement proper token binding mechanisms that would associate tokens with specific user sessions, IP addresses, or device contexts. According to CWE classification, this vulnerability aligns with CWE-287 which addresses improper authentication issues, specifically focusing on the lack of proper token validation procedures. The attack vector typically involves an attacker obtaining a valid token through various means such as network sniffing, credential theft, or prior system compromise, then leveraging this token to access platform resources as if they were the legitimate user.
The operational impact of this vulnerability extends beyond simple unauthorized access, as it fundamentally undermines the trust model of the IBM Watson IoT Platform. An attacker with a valid token can potentially access sensitive IoT device data, modify device configurations, or perform administrative functions within the platform. This capability compromises the integrity of the entire IoT ecosystem, as compromised tokens can be used to manipulate device behavior, access confidential data flows, or disrupt service availability. The vulnerability also creates persistent access opportunities for attackers, as stolen tokens may remain valid for extended periods, allowing for prolonged unauthorized access without detection. From an attack perspective, this issue maps to ATT&CK technique T1078 which covers valid accounts and T1566 which addresses credential harvesting, demonstrating how attackers can leverage stolen credentials to maintain access and escalate privileges within the platform.
Mitigation strategies for this vulnerability should focus on implementing robust token validation and lifecycle management mechanisms. Organizations should deploy token binding technologies that associate authentication tokens with specific session contexts, device fingerprints, or network locations to prevent token reuse across different environments. The platform should enforce strict token expiration policies with automatic revocation capabilities when suspicious activities are detected. Additional security controls include implementing multi-factor authentication for critical platform access, deploying network monitoring solutions to detect unusual token usage patterns, and establishing comprehensive token auditing procedures. IBM should also consider implementing token revocation lists and real-time validation checks that verify token integrity before granting access to platform resources. Security teams should regularly rotate authentication tokens and implement automated systems to detect and respond to potential token compromise scenarios. The implementation of these controls aligns with industry best practices for authentication security and helps address the underlying weaknesses that enable this type of unauthorized impersonation attack.