CVE-2026-56669: CWE-407: Inefficient Algorithmic Complexity in elysiajs elysia
Elysia is a Typescript framework for request validation, type inference, OpenAPI documentation, and client-server communication. Prior to 1.4.29, Elysia uses getAll in form data normalization for multipart/form-data endpoints, causing the amount of work to grow quadratically with the number of unique key-value pairs and allowing CPU exhaustion. This issue is fixed in version 1.4.29.
AI Analysis
Technical Summary
CVE-2026-56669 describes an inefficient algorithmic complexity vulnerability (CWE-407) in the elysiajs elysia framework prior to version 1.4.29. The vulnerability is due to the use of the getAll method during form data normalization for multipart/form-data endpoints, which causes the processing workload to increase quadratically relative to the number of unique key-value pairs. This inefficiency can be exploited to exhaust CPU resources, resulting in a denial of service condition. The vulnerability does not impact confidentiality or integrity but affects availability. The issue is resolved in version 1.4.29.
Potential Impact
The vulnerability allows an attacker to cause CPU exhaustion by sending multipart/form-data requests with many unique key-value pairs, leading to a denial of service. There is no impact on confidentiality or integrity. The CVSS v3.1 score is 7.5 (high), reflecting the network attack vector, low attack complexity, no privileges required, no user interaction, and impact limited to availability.
Mitigation Recommendations
Upgrade to elysia version 1.4.29 or later, where this inefficient algorithmic complexity issue has been fixed. Patch status is confirmed by the version-based fix. No other mitigation is indicated by the vendor advisory.
CVE-2026-56669: CWE-407: Inefficient Algorithmic Complexity in elysiajs elysia
Description
Elysia is a Typescript framework for request validation, type inference, OpenAPI documentation, and client-server communication. Prior to 1.4.29, Elysia uses getAll in form data normalization for multipart/form-data endpoints, causing the amount of work to grow quadratically with the number of unique key-value pairs and allowing CPU exhaustion. This issue is fixed in version 1.4.29.
CVSS v3.1
Score 7.5high
Affected software
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AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2026-56669 describes an inefficient algorithmic complexity vulnerability (CWE-407) in the elysiajs elysia framework prior to version 1.4.29. The vulnerability is due to the use of the getAll method during form data normalization for multipart/form-data endpoints, which causes the processing workload to increase quadratically relative to the number of unique key-value pairs. This inefficiency can be exploited to exhaust CPU resources, resulting in a denial of service condition. The vulnerability does not impact confidentiality or integrity but affects availability. The issue is resolved in version 1.4.29.
Potential Impact
The vulnerability allows an attacker to cause CPU exhaustion by sending multipart/form-data requests with many unique key-value pairs, leading to a denial of service. There is no impact on confidentiality or integrity. The CVSS v3.1 score is 7.5 (high), reflecting the network attack vector, low attack complexity, no privileges required, no user interaction, and impact limited to availability.
Mitigation Recommendations
Upgrade to elysia version 1.4.29 or later, where this inefficient algorithmic complexity issue has been fixed. Patch status is confirmed by the version-based fix. No other mitigation is indicated by the vendor advisory.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- GitHub_M
- Date Reserved
- 2026-06-22T16:39:01.043Z
- Cvss Version
- 3.1
- State
- PUBLISHED
- Remediation Level
- null
Threat ID: 6a4eb690c9d9e3dbe3b68743
Added to database: 07/08/2026, 20:44:00 UTC
Last enriched: 07/16/2026, 09:53:45 UTC
Last updated: 08/22/2026, 15:30:26 UTC
Views: 96
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