langgenius/dify versions 1.1.0 to 1.1.2 are vulnerable to unsanitized input in the code node, allowing execution of arbitrary code with full root permissions. The vulnerability arises from the ability to override global functions in JavaScript, such as parseInt, before sandbox security restrictions are imposed. This can lead to unauthorized access to secret keys, internal network servers, and lateral movement within dify.ai. The issue is resolved in version 1.1.3.
This vulnerability carries a HIGH severity rating with a CVSS v3.1 score of 7.2, indicating it can be exploited remotely over the network with relatively low complexity without requiring user interaction . The vulnerability impacts confidentiality (data exposure), integrity (unauthorized modifications), and availability (service disruption) for affected systems. Impacting 1 product from langgenius 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.
2025-07-07T10:15:27.640
2025-07-10T15:01:31.070
Analyzed
CVSSv3.1: 7.2 (HIGH)
| Type | Vendor | Product | Version/Range | Vulnerable? |
|---|---|---|---|---|
| Application | langgenius | dify | < 1.1.3 | 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 langgenius'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.