InvenTree is an Open Source Inventory Management System. Prior to version 0.17.13, the skip field in the built-in `label-sheet` plugin lacks an upper bound, so a large value forces the server to allocate an enormous Python list. This lets any authenticated label-printing user trigger a denial-of-service via memory exhaustion. the issue is fixed in versions 0.17.13 and higher. No workaround is available aside from upgrading to the patched version.
This vulnerability carries a LOW severity rating with a CVSS v3.1 score of 3.5, indicating it can be exploited remotely over the network with relatively low complexity though user interaction is required requiring only low-level privileges . The vulnerability impacts and limited availability for affected systems. Impacting 1 product from inventree_project 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.
2025-06-03T21:15:22.250
2025-12-17T15:10:49.213
Analyzed
CVSSv3.1: 3.5 (LOW)
| Type | Vendor | Product | Version/Range | Vulnerable? |
|---|---|---|---|---|
| Application | inventree_project | inventree | < 0.17.13 | 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 inventree_project'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.