import-in-the-middle is a module loading interceptor specifically for ESM modules. The import-in-the-middle loader works by generating a wrapper module on the fly. The wrapper uses the module specifier to load the original module and add some wrapping code. Prior to version 1.4.2, it allows for remote code execution in cases where an application passes user-supplied input directly to the `import()` function. This vulnerability has been patched in import-in-the-middle version 1.4.2. Some workarounds are available. Do not pass any user-supplied input to `import()`. Instead, verify it against a set of allowed values. If using import-in-the-middle, directly or indirectly, and support for EcmaScript Modules is not needed, ensure that no options are set, either via command-line or the `NODE_OPTIONS` environment variable, that would enable loader hooks.
This vulnerability carries a HIGH severity rating with a CVSS v3.1 score of 8.1, indicating it can be exploited remotely over the network but requires specific conditions to be met without requiring user interaction and does not require pre-existing privileges . The vulnerability impacts confidentiality (data exposure), limited integrity, and limited availability for affected systems. Impacting 1 product from datadoghq organizations running these solutions should prioritize assessment and patching.
Reported in 2023, 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.
2023-08-07T20:15:09.693
2026-06-17T06:10:59.403
Modified
CVSSv3.1: 8.1 (HIGH)
| Type | Vendor | Product | Version/Range | Vulnerable? |
|---|---|---|---|---|
| Application | datadoghq | import-in-the-middle | < 1.4.2 | Yes |
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 datadoghq'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.