- #Xee injection prevention datapower how to#
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Frequent code updates results in false positives when legitimate users got banned. They are not ready for continuous integration. Every solution was broken for the same reasons.ġ. So "What's next?" We didn't know and were looking for the answer evaluating different products pretending to secure modern web - with orchestration by DevOps teams, continuous integration (CI) with frequent code updates right on production systems, complex Single-Page Applications and REST APIs, etc.
#Xee injection prevention datapower update#
The only problem that we deploy code five times a week - and each (!) update might have new security flaws.
After each security audit had carried out we got a simple question "Good job, guys, but what's next now? We've fixed all the vulnerabilities you found. Ivan (CEO) is a respected researcher known for his articles and talks at international security conferences (BlackHat, Hack In the Box, etc) on web application security.Įverything started with boutique security consulting company founded by Ivan in 2009 which with time became a synonym for the "best security audits for web applications". We started as a team of white hat hackers. Guys, here is a story of how we got the the idea of Wallarm Yes, have not yet published them in open-source, though. And we share the source codes of Wallarm Node with our customers. In a case of Wallarm, you work with your Linux environment you can see all the Wallarm scripts and content of an in-memory database. Or entirely cloud solutions which take all your traffic.
#Xee injection prevention datapower full#
What blackbox is full proprietary hardware boxes or virtual appliances with operation system inside from old-fashioned vendors like F5 (no offense) or iMperva (again, no offense). I argue that it is a complete black-box for the customer. Now, with the support of dynamic module by NGINX you can even use your existing NGINX instances.
#Xee injection prevention datapower how to#
Everybody already knows how to deploy/monitor NGINX with favorite orchestration tools. Signature-less filters are very fast (we have Badoo social network/dating site with 200+ million users running their performance test for their PHP-stack application and they don't see performance degradation). And here what we see all the time: no one wants to get this work done, so security solution works just in monitoring mode WITHOUT actual blocking of attacks).ģ. Wallarm Nodes get dynamic ruleset every 15 minutes from the Wallarm cloud.Īs a result, it makes possible to protect APIs and apps with frequent code deployments and not to worry about false positives (we saw this many time: in the case of traditional solutions security team is usually required to reconfigure rules after major application updates manually or semi-manually. But when we have an understanding of inner knowledge of the application, we can apply this set of facts of application to the general ruleset and get dynamic ruleset for every application. There are general ruleset to detect attacks without learning at all. here is field of the form, with CC number (16 bytes, digits only) Wallarm Nodes send a lot of statistical (impersonate) data to Wallarm Cloud, so we can get a set of facts about application: It's all about statistics and understanding the structure of the application and its users' behavior. Attacks/anomalies detection driven by machine learning This became possible because of combination defensive and offensive techniques (NGWAF + vulnerability scanner in one core).Ģ. It discovers which of the attacks are in fact targeting vulnerabilities. You need to analyze all your events manually
And what to do with this knowledge? In a case of a traditional security solution, it's never clear - if an attack is just scanning with no harm or someone already downloading database over SQL injection vulnerability.
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