The MongoDB Shell may be susceptible to control character injection where an attacker with control of the mongosh autocomplete feature, can use the autocompletion feature to input and run obfuscated malicious text. This requires user interaction in the form of the user using ‘tab’ to autocomplete text that is a prefix of the attacker’s prepared autocompletion. This issue affects mongosh versions prior to 2.3.9. The vulnerability is exploitable only when mongosh is connected to a cluster that is partially or fully controlled by an attacker.
This vulnerability carries a HIGH severity rating with a CVSS v3.1 score of 7.6, indicating it can be exploited remotely over the network but requires specific conditions to be met though user interaction is required . The vulnerability impacts confidentiality (data exposure), integrity (unauthorized modifications), and availability (service disruption) for affected systems. Impacting 1 product from mongodb organizations running these solutions should prioritize assessment and patching.
Reported in 2025, 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.
2025-02-27T13:15:11.253
2025-09-22T16:42:14.620
Analyzed
CVSSv3.1: 7.6 (HIGH)
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 mongodb'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.