OpenCTI is an open source platform allowing organizations to manage their cyber threat intelligence knowledge and observables. Prior to version 6.1.9, the regex validation used to prevent Introspection queries can be bypassed by removing the extra whitespace, carriage return, and line feed characters from the query. GraphQL Queries in OpenCTI can be validated using the `secureIntrospectionPlugin`. The regex check in the plkugin can be bypassed by removing the carriage return and line feed characters (`\r\n`). Running a curl command against a local instance of OpenCTI will result in a limited error message. By running the same Introspection query without the `\r\n` characters, the unauthenticated user is able to successfully run a full Introspection query. Bypassing this restriction allows the attacker to gather a wealth of information about the GraphQL endpoint functionality that can be used to perform actions and/or read data without authorization. These queries can also be weaponized to conduct a Denial of Service (DoS) attack if sent repeatedly. Users should upgrade to version 6.1.9 to receive a patch for the issue.
This vulnerability carries a MEDIUM severity rating with a CVSS v3.1 score of 6.5, indicating it can be exploited remotely over the network with relatively low complexity without requiring user interaction and does not require pre-existing privileges . The vulnerability impacts limited data confidentiality, and limited availability for affected systems. Impacting 1 product from citeum organizations running these solutions should prioritize assessment and patching.
Reported in 2024, this vulnerability emerged during an era marked by increased sophistication in supply chain attacks, cloud infrastructure vulnerabilities, and software-as-a-service (SaaS) security challenges. Security practices during this period emphasized zero-trust architectures, container security, and API protection.
2024-11-18T15:15:06.210
2026-06-17T07:37:51.483
Analyzed
CVSSv3.1: 6.5 (MEDIUM)
SecUtils normalizes and enriches National Vulnerability Database (NVD) records by standardizing vendor and product identifiers, aggregating vulnerability metadata from both NVD and MITRE sources, and providing structured context for security teams. For citeum's affected products, we extract Common Platform Enumeration (CPE) data, Common Weakness Enumeration (CWE) classifications, CVSS severity metrics, and reference data to enable rapid vulnerability prioritization and asset correlation. This record contains no exploit code, proof-of-concept instructions, or attack methodologies—only defensive intelligence necessary for patch management, risk assessment, and security operations.