Vulnerability Monitor

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CVE-2020-36661


A vulnerability was found in Kong lua-multipart 0.5.8-1. It has been declared as problematic. This vulnerability affects the function is_header of the file src/multipart.lua. The manipulation leads to inefficient regular expression complexity. Upgrading to version 0.5.9-1 is able to address this issue. The patch is identified as d632e5df43a2928fd537784a99a79dec288bf01b. It is recommended to upgrade the affected component. VDB-220642 is the identifier assigned to this vulnerability.


Security Impact Summary

This vulnerability carries a LOW severity rating with a CVSS v3.1 score of 3.5, indicating it requires adjacent network access with relatively low complexity without requiring user interaction requiring only low-level privileges . The vulnerability impacts and limited availability for affected systems. Impacting 1 product from konghq organizations running these solutions should prioritize assessment and patching.

Historical Context

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.


Published

2023-02-12T21:15:10.650

Last Modified

2024-11-21T05:30:02.790

Status

Modified

Source

[email protected]

Severity

CVSSv3.1: 3.5 (LOW)

CVSSv2 Vector

AV:A/AC:L/Au:S/C:N/I:N/A:P

  • Access Vector: ADJACENT_NETWORK
  • Access Complexity: LOW
  • Authentication: SINGLE
  • Confidentiality Impact: NONE
  • Integrity Impact: NONE
  • Availability Impact: PARTIAL
Exploitability Score

5.1

Impact Score

2.9

Weaknesses
  • Type: Secondary
    CWE-1333

Affected Vendors & Products
Type Vendor Product Version/Range Vulnerable?
Application konghq multipart 0.5.8-1 Yes

References

How SecUtils Interprets This CVE

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 konghq'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.