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CVE-2026-61629: CWE-770: Allocation of Resources Without Limits or Throttling in lucasdillmann nginx-ignition

0
High
VulnerabilityCVE-2026-61629cvecve-2026-61629cwe-770
Published: 09/21/2026 (09/21/2026, 14:22:34 UTC)
Source: CVE Database V5
Vendor/Project: lucasdillmann
Product: nginx-ignition

Description

nginx ignition is a user interface for the nginx web server. In versions 2.29.0 through 2.40.0, the gin i18n middleware in nginx-ignition's API server runs in front of every HTTP request and calls `golang.org/x/text/language.ParseAcceptLanguage` on the raw `Accept-Language` header without imposing any size or shape filter. The underlying parser has quadratic-time behaviour on long lists of malformed language tags. The CVE-2022-32149 guard that golang.org/x/text added in v0.3.8 caps the number of `-` characters in the input at 1000, but it does not cap `_` characters even though the parser's internal scanner aliases `_` to `-` before parsing. A single unauthenticated GET request with an `Accept-Language` header built out of `_` separators burns about 2.4 seconds of server CPU on the host running nginx-ignition; ten concurrent attackers saturate a ten-core box for the duration of the attack while consuming ~10 MiB/s of upstream bandwidth. Version 2.40.1 fixes this issue.

CVSS v3.1

Score 7.5high

Attack Vector
Network
Attack Complexity
Low
Privileges Required
None
User Interaction
None
Scope
Unchanged
Confidentiality
None
Integrity
None
Availability
High
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

Affected software

lucasdillmann

nginx-ignition

Affected versions
>=2.29.0 <2.40.1
GitHub Actionsmore threats →ai
lucasdillmann/nginx-ignition
pkg:github/lucasdillmann/nginx-ignition
Affected versions
>=2.29.0 <2.40.1

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AI-Powered Analysis

Machine-generated threat intelligence

AILast updated: 09/21/2026, 14:46:47 UTC

Technical Analysis

In nginx-ignition versions 2.29.0 through 2.40.0, the gin i18n middleware processes the Accept-Language header without limiting its size or format. The golang.org/x/text/language.ParseAcceptLanguage function used internally has quadratic-time complexity when parsing long lists of malformed language tags, especially those containing many underscore characters ('_'). Although a previous fix capped the number of hyphen characters ('-'), underscores are aliased to hyphens internally but remain uncapped, allowing attackers to craft headers that cause excessive CPU usage. A single crafted request can consume about 2.4 seconds of CPU time, and multiple concurrent requests can saturate a multi-core server, causing denial of service. This vulnerability is addressed in nginx-ignition version 2.40.1.

Potential Impact

An unauthenticated attacker can send specially crafted HTTP requests with malicious Accept-Language headers to cause high CPU usage on the nginx-ignition server, leading to denial of service by resource exhaustion. This can saturate server CPU cores and consume significant bandwidth, degrading or disrupting service availability.

Mitigation Recommendations

Upgrade nginx-ignition to version 2.40.1 or later, where this vulnerability is fixed by limiting the processing of underscores in the Accept-Language header. Until upgraded, consider implementing external rate limiting or filtering on Accept-Language headers to mitigate potential abuse.

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Technical Details

Data Version
5.2
Assigner Short Name
GitHub_M
Date Reserved
2026-07-10T17:38:57.110Z
Cvss Version
3.1
State
PUBLISHED

Threat ID: 6ab13ff155bf5e2cf5064d27

Added to database: 09/21/2026, 14:32:17 UTC

Last enriched: 09/21/2026, 14:46:47 UTC

Last updated: 09/22/2026, 00:42:10 UTC

Views: 13

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