Menu
Missing Authorization header in Angular 7 HTTP response
Accessing an API back-end from Angular client may result in missing response headers. A common scenario is a missing Authorization header, containing the JSON Web Token (JWT) which is returned from the back-end service when the user logs in successfully. The solution to the problem is to expose the desired header in the back-end code (notice that the Authorization header is not exposed by default). In the case of a Spring Boot back-end, we need to add the following line of code:
response.addHeader("Access-Control-Expose-Headers", "Authorization");
The same rule applies to all custom headers that need to be exposed in the response to the client. Each of them needs to be explicitly exposed in the back-end code.
The full back-end code for the successful authentication method is available below:
@Override
protected void successfulAuthentication(HttpServletRequest request, HttpServletResponse response,
FilterChain chain, Authentication authResult) throws IOException, ServletException {
String token = JWT.create()
.withSubject(((User) authResult.getPrincipal()).getUsername())
.withExpiresAt(new Date(System.currentTimeMillis() + EXPIRATION_TIME))
.sign(HMAC512(SECRET.getBytes()));
response.addHeader("Access-Control-Expose-Headers", "Authorization");
response.addHeader(HEADER_STRING, TOKEN_PREFIX + token);
}
Letzte Beiträge
Share :
Share :
Weitere Beiträge
Machine learning concepts. Network training and evaluation
The neural network model consists of two layers – an LSTM layer and an output Dense layer. The reason for choosing an LSTM layer is the need to process sequences of time-related data
ViewModel
ViewModel – it is a model of the view. The purpose of the ViewModel is to apply any business logic to the Model before exposing it to the View for consumption. This way the View is free of business logic.
Machine learning concepts. Data preparation
Each machine learning process related to the use of neural networks consists of at least two parts. The first part is related to data loading and preparation for training.
