Graylog2 / Graylog2/graylog2-server
Custom HTTP Notification appends charset=utf-8 to application/x-www-form-urlencoded causing incompatible requests
- Lenguaje dominante
- Java
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Descripción
### Environment
- Graylog: 6.0.12
- Notification type: Custom HTTP Notification
### Problem
Custom HTTP Notification always sends
```
Content-Type: application/x-www-form-urlencoded; charset=utf-8
```
instead of
```
Content-Type: application/x-www-form-urlencoded
```
The `charset=utf-8` cannot be removed or overridden.
### Target API
VK Teams Bot API
Endpoint:
```
https://myteam.mail.ru/bot/v1/messages/sendText
```
### Expected behavior
Graylog should send
```
Content-Type: application/x-www-form-urlencoded
```
without automatically appending charset.
### Actual behavior
Graylog sends
```
Content-Type: application/x-www-form-urlencoded; charset=utf-8
```
The request reaches the server, but VK Teams rejects or ignores it.
### Verification
The same request works correctly from:
- curl
- Postman
Example:
```
curl -X POST \
https://myteam.mail.ru/bot/v1/messages/sendText \
-H "Content-Type: application/x-www-form-urlencoded" \
--data-urlencode "token=..." \
--data-urlencode "chatId=..." \
--data-urlencode "text=test"
```
If
```
charset=utf-8
```
is added to Content-Type, the request no longer works.
This was verified using:
- curl
- Postman
- Webhook.site
Webhook.site confirms that Graylog correctly sends:
- POST
- x-www-form-urlencoded
- correct request body
The only visible difference is the automatically appended charset.
### Additional information
The Headers field cannot override the generated Content-Type header.
Guía de contribución
Línea de trabajo
Start at the Custom HTTP Notification implementation and trace where its form request builds the Content-Type header. Reproduce the request against the VK Teams endpoint or Webhook.site, then verify that the completed request uses application/x-www-form-urlencoded without charset=utf-8 and that the Headers field behavior remains understood.
Escrito por el modelo de indexación a partir del texto del issue.
Evaluación
- Stack tecnológico
- java
- Área
- api, backend
- Tipo de issue
- Error
- Dificultad
- 3/5
- Tiempo estimado
- 1-2 días
- Estado de actividad
- Tranquilo
- Claridad
- Bien especificado
- Aptitud para principiantes
- 72/100