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yandex
gixy
Python2017–2023
yandex / gixy

gixy

Nginx configuration static analyzer

11Distinct people
11Mentions
0Explicit recommenders
8.6KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Nginx configuration static analyzer

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year11 dated mentions

Observed mentions: 2017-04-28 23:18:12 UTC to 2023-08-23 20:15:26 UTC.

012342017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 3 mentions; 2 submissions, 1 comments20172018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20202021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 4 mentions; 2 submissions, 2 comments2023

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC321
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC000
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC000
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC101
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC211
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC101
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC422

What Hacker News says

11 sources
This article briefly mentions a very useful analysis tool for NGINX configuration: Gixy. It looks for the following misconfigurations[0]: - [ssrf] Server Side Request Forgery - [http_splitting] HTTP Splitting - [origins] Problems with referrer/origin validation - [add_header_redefinition] Redefining of response headers by "add_header" directive - [host_spoofing] Request's Host header forgery - [valid_referers] none in valid_referers - [add_header_multiline] Multiline response headers - [alias_traversal] Path traversal via misconfigured alias The alias traversal gotcha is one of the most pernicious I've seen. A single, seemingly innocuous '/' is the difference between a path traversal vulnerability or not. [0]: https://github.com/yandex/gixy#what-it-can-do
In Avoiding the top Nginx configuration mistakes
Nginx requires too much configuration. It is very brittle if you do not have a full time DevOps person monitoring things. E.g. for production web apps, take a look at the amount of tooling that has been developed to manage Nginx: https://www.digitalocean.com/community/tools/nginx https://github.com/yandex/gixy This is not a criticism of Nginx per se, it comes from a time when Apache is the only other alternative and end-user UX is hardly priority. An analogy would be systemd and pm2, pm2 have few advantages over systemd on paper but in practice it has a much more pleasant UX and saner defaults even though it requires a separate installation on most servers while systemd is available by default. It is the difference between Heroku and AWS. For the 99th percentile of efficiency Nginx still beats Traefik and Caddy, but sometimes scaling serv
Read the rest
ers is cheaper than hiring DevOps staff.
In Show HN: Caddy 2

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