To avoid being detected, the best bet is to mimic human traffic.īrowser automation frameworks like Puppeteer and Playwright have become go-to solutions for creating human-like bots. One of the biggest challenges for bot developers is security solutions that keep identifying and blocking them. Browser Automation FrameworksĮven though non-browser-based tools can be extremely useful for attackers, they’re often easier for defenders to detect. If this data fails to be sent back in the client requests, it’s a good indication that automation is at play. This is referred to as client-side detection. Advanced anti-bot solutions use Javascript to automatically collect and report attributes related to the browser and system configuration. In contrast to a normal browser, non-browser-based clients like this script fail to execute Javascript code. The snippet below shows an example of a bot developed in Python that leverages the requests and BeautifulSoup libraries for scraping and parsing data from a website:Ĭontent = BeautifulSoup ( page. For instance, searching #pentest on GitHub should yield some interesting results. These types of bots can range from “off-the-shelf” vendor tooling to open source projects and can be used for scraping data, automated pentesting, and much more. The most conventional form of automation leverages some type of non-browser-based client like Python, Go, or curl, among many others. Additionally, we will cover defensive security measures that make attacks more difficult and costly. In this blog post we’ll cover different categories of bots, methods, and tools red teams can use for testing as well as how to choose between them and how to build on their functionality to increase sophistication. Emulating both simple and complex automated attacks is an important capability that you can use to gain further insights and validate that security controls operate the way you believe they should.
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To understand and mitigate nefarious automation before it impacts your business, it’s essential to be cognizant of adversarial tactics and techniques. This type of nefarious automation can originate from a wide range of actors, usually cybercrime organizations but occasionally from an individual seeking personal gains, too (like eBay bid sniping). The software that automates these tasks are considered bots, and the malicious use of automated tooling can be categorized as automated threats. These events can include many different attacks – including content scraping, credential stuffing, application DDoS, web form abuse, token guessing, and more. If your application is on the internet, chances are it has been subjected to nefarious automation. Automating and Defending Nefarious Automation