How do you monitor and block malicious traffic with web application security?

Use firewalls to intercept and analyze every HTTP request passing through and apply techniques to test if traffic is legitimate.

In order to ensure an effective firewall setup, it is crucial to possess a comprehensive understanding of your network traffic. This necessitates the utilization of Load-Balancers logs and traffic analysis tools. By incorporating these key elements into your firewall configuration, you can establish robust and efficient rules to safeguard your network.

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Every web application that is serious about security must have the right monitoring tools. This can be a combination of inhouse developed and third-party tools. Typically WAFs (e.g. from Akamai) provide dashboards that can slice and dice traffic into many dimensions. All incoming traffic access logs should be aggregated into an ELK and automatic reports and dashboards can be built to flag malicious behaviour Inside the application there should be custom rules that can limit traffic to particular modules, can flag suspicious access attempts, and can block IPs.

You can also use cloud based firewalls which also offer CDN capabilities. Which makes your websites secure and faster. You can either opt for default protection rules or customise them. Its also easy to manage and does not require extra knowledge to configure them.

There are many layers involved one after the other to block malicious traffic. * Web Application Firewall is usually provided by a vendor and it has many configurable rules that can scrub traffic * At the edge of the production LAN nginx (or equivalent) can provide rate limiting with more fine-grained rules * Now a days there are ML based solutions that can use deep learning models to classify incoming traffic at a request level into malicious or genuine. * Activity or behaviour of every incoming user (as identified by an IP, or an assigned visitor id) can be matched to defined patterns to identify human behaviour vs malicious behaviour. Again, there can be ML models which can do this.

The means to block unwanted traffic are legion, and one must apply countermeasures holistically given the context and the risks. Risks involves money, therefore you will not deploy a costly solution for a public page without private information stored on the backend. Now if you ask for specifics, here is what I learned and applied for my clients: - use nginx instead of crappy IIS or apache - nginx rate limit: will rate limit attackers that scan and dump your data - crowdsec agent: just like fail2ban, this agent reads the logs and reacts to known CVE and other alerts triggered by nginx. It will ban attackers accordingly. Furthermore, it uses a shared database that can prevent an existing DDoS attack before it even happens to you

Keep web application secure by keeping updates on SSL certificates and process data using HTTPS protocol Using server and client side form validation to ensure user data can not access secure data Use Encryption keys for data transactions over the internet monitor security updates on web systems

Cookies 1. Same site cookies 2. Http only Authentication & authorization 1. Use 2fa 2. Use token rotation along oAuth2 provider Rate limiter 1. Use to decrease number of incoming requests for processing 2. Prevent traffic from scam IPs or potential DoS attacks Firewall rules in place Secure site 1. Ciphers of 256 bits and valid certs created by a well known Authority 2. HTTPS only Handle XSS and Sql injection

While a lot of potential threats need to be handled at the WAF layer, the traffic that reaches the application endpoints must have a degree of legitimacy already (so DDOS, rogue IPs, malformed requests, filters based on OWASP etc.) should be thwarted by WAF already. The application security can focus on the following 1) A robust auth mechanism ideally through JWT tokens etc. 2) Rate Limiting on APIs 4) A middleware implementation which validates auth and role for each API exposed. 5) Injections Prevention - validation of params in HTTP requests and filter out requests that contain sql injection/regex/patterns formats and same origin policies to prevent XSS. 6) Setup a service to detect known and alert on vulnerabilities regularly.

To test your site resilience to attacks, many tools exist to assist you but the best one I know to get started is called Nikto. Nikto will test common CVE and vulnerabilities on various aspects of your service: SSL attacks, CGI, unsafe headers, various injections etc With these results, you will have an opportunity to address and fix the flaws.

Consider hiring the right people instead of hiring friends of friends of employees or the niece of the HR. Nepotism and networking do you no good in the long run.