Prevent Credential Stuffing Attacks Made to Compromise Accounts
Netacea’s Intent Analytics™ uses machine learning to identify and stop brute force and low and slow credential stuffing attacks to protect your site and its customers.
Rise of Credential Stuffing
With up to 87% of your customers reusing their password’s across the internet, hackers have easy access to millions of credentials, often for free.
Over the past 5 years, Netacea customers have seen a significant rise in the number account take-over attacks, with tools such as Sentry MBA, Storm and Sniper allowing attackers to build an execute an attack against your site in minutes.
Bots Are Growing in Sophistication and Volume
With hackers now able to spoof their I.P, skew success rates with Fake Accounts and run low and slow attacks lasting months.
Organisations often have to turn to already overworked teams to look into attacks where traditional mitigations such as CAPTCHA, WAF’s and basic Bot Mitigation has failed.
Credential Stuffing Detection Powered By Machine Learning
The growing sophistication of attacks requires a smarter approach.
Netacea's enterprise-scale big data platform, focuses on millions of data points to deliver rapid identification and advanced credential stuffing prevention. Our Intent Analytics™ engine uses machine learning to learn from your traffic data and visitor patterns in combination with Historical I.P Analysis, Browser Finger Printing and Source Verification.
Flexible Integration Options
Netacea is a cloud-hosted service and can be implemented in different ways depending on your architecture and requirements. Options include reverse proxy, pre-configured CDN integrations and customisable API integration to your network via WAF, SIEM, etc
The cloud infrastructure is highly available and distributed with complete failover protection. It has maintained 100% availability since inception in 2014 and has been load-tested to over 1 million concurrent users per instance with no performance degradation.
How it works
Netacea uses a unique approach to identify and mitigate account takeover and other automated threats. The core of which is our Intent Analytics™ engine powered by machine learning.
Netacea learns from your visitors and the behaviour they exhibit, highlighting anomalous behaviours that don’t fit your site’s behavioural profile. Intent Analytics™ is then enriched with industry-leading threat intelligence to check the digital provenance of the visitor’s request.
Netacea’s engine then categorises suspicious visitors by type and attributes a risk score based on the threat to your site.
Our collective Intelligence & behavioural policies can be used to mitigate suspicious traffic, giving the ability to enforce RE CAPTCHA; Advanced CAPTCHA, blackhole or hard block. For threats that are profiled but no mitigation has been defined, our customer feedback loop is used to add this rule back into the system.
Frequently Asked Questions
Why can’t Web Application Firewalls (WAFs) detect and block sophisticated bots?
WAFs are effective tools as part of any secure web-based system, however WAFs are designed to look for and prevent requests that are targeted at exploiting security weaknesses. New and sophisticated bot attacks often look like legitimate human requests, which can often pass through a WAF unchallenged. Because of this, the multitude of security challenges caused by sophisticated Bot traffic require deeper analysis; making it necessary to look at the nature and patterns of requests that are being made and compare those to that being made by human users.
Why is IP address blocking an ineffective approach?
One way of dealing with bot traffic is by simply creating a blacklist of IP addresses however, it is a very limited solution and suffers from several key issues:• A reactive approach – A blacklist is created from known threats or retrospectively & only contains details of past attack IPs whereas automated threats will regularly rotate IP addresses and avoid any hard blocks on the IPs used previously• Blacklists require constant maintenance to ensure that new threats are added to the list as they are discovered and historically identified threats need to be revalidated periodically to ensure the authenticity of each entry.
Will your solution impact website performance?
At Netacea, we understand that your user experience and site performance are key when creating and maintaining web applications and our solution is no different. Our solution has been designed with performance in mind and with a number of implementation options that customers can choose from, we ensure there is minimal to no impact on the protected site’s performance.• In-line ultra-low latency reverse proxy - latency added is typically 1-3 milliseconds• Out of line zero latency integrations – CDN based integrations or API based architecture
How quick and easy is it to implement?
Our solution is entirely cloud-based and we require no on-premise equipment in order for our solution to begin working. Customers can utilise our solution in one of three ways, through our reverse proxy, via an integration with a CDN or by using our API architecture. Regardless of the implementation choice, we’re able to implement our customer’s chosen architecture within hours (however typically we do ask for around one week to allow for testing and tuning the implementation) and are on hand to assist our customers every step of the way.
What flexible integration options do you offer?
Our adaptive data model and micro-services API approach gives huge power and flexibility to ensure that even the most complex of visitor requirements can be elegantly and reliable handled at volume, using the existing infrastructure that enterprise customers already maintain and own. Using our rich set of API, you can send the threat alerts to your WAF, CDN provider, or firewall of choice.
How does Netacea protect the user experience & support accessibility for all visitors?