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Stytch unveiled Strong CAPTCHA to protect users from bots  

Stytch unveiled Strong CAPTCHA, the first solution in a portfolio of security technologies designed to reduce online fraud and risk. The program addresses the significant problem of CAPTCHA fraud, which harms consumers and harms the brands of online merchants, financial services providers, and other businesses. 

Reed McGinley-Stempel, Co-Founder and CEO of Stytch “Today, humans only make up 38.5 percent of internet traffic. The other 61.5 percent is non-human in the form of bots, hacking tools, and so on. This incessant bot activity defrauds both users and businesses, but CAPTCHA systems are not resolving the problem due to CAPTCHA fraud. Strong CAPTCHA eliminates the public key loophole in the CAPTCHA architecture to thwart widespread CAPTCHA fraud.” 

Every CAPTCHA system exposes its public key, making it simple for bots to scrape and send the public key to a “CAPTCHA-solving-as-a-service” organization, sometimes known as a CAPTCHA farm, where individuals manually solve CAPTCHA tests for bots for a living. Bots that can solve CAPTCHA difficulties can create phony accounts, and spam boards, scoop up inventory before humans, and other unpleasant repercussions. 

Stytch has fully eliminated the public key site from the CAPTCHA architecture, leaving users with the same experience but making it difficult for bots to scrape and mass assault applications. Businesses can use the solution to interact with legitimate customers. It also saves firms money in the form of fraud, resources, and time. 

CAPTCHA fraud impacts a wide range of businesses. Bot fraud, for example, has disastrous effects for e-commerce firms. When large brands release limited edition or difficult-to-get merchandise, customers frequently utilize bots to purchase the things. They then resale them at a significantly greater price. This creates a terrible experience for legitimate customers and harms brand trust. Companies, in turn, must cope with dissatisfied clients who are unable to receive the things they require. 

Botnet- Large-scale Attack Automator’s!

What is Botnet?

Botnets are computer networks that have been hijacked and are used to carry out different schemes and cyberattacks. The words “robot” and “network” are combined to generate the term “botnet.” The infiltration step of a multi-layer strategy is usually when a botnet is assembled. The bots are used to automate large-scale attacks including data theft, server failure, and malware spread.

Botnets utilise your gadgets to defraud others or cause havoc – all without your knowledge or approval. You might ask, “what is a botnet attack, what is It used for and how does it work?” Let’s help you understand all of it.

What is a Botnet attack?

A botnet attack is a type of cyberattack in which malware is installed on a collection of internet-connected devices and controlled by a hostile hacker. Sending spam, data theft, exploiting sensitive information, and unleashing nasty DDoS attacks are all common botnet attacks.

What Are Botnets Used For?

Botnet creators have a vested interest in making money or gaining personal satisfaction.

Extortion or direct theft of money are examples of financial theft. Theft of personal information in order to get access to sensitive or private accounts Service sabotage – putting services and websites offline, for example. Scams involving bitcoin mining take advantage of consumers’ computing power. Access is being sold to other crooks in order to allow for more fraud on naive customers.

The majority of the reasons for establishing a botnet are similar to those for other sorts of illegal activity. The urge to steal something important or cause trouble for others is a common motivation for these attackers. In rare cases, cybercriminals may create and sell access to a massive network of zombie PCs. The buyers, who pay on a leasing basis, are usually the other hackers.

Despite the numerous possible rewards for a hacker, some people simply construct botnets for the sake of doing so. Botnets are used for a variety of assaults against botnet-controlled individuals as well as other persons, regardless of their motivation.

How does a Botnet Work?

Basic stages of building a botnet can be simplified into a few steps:

Prep and Expose — hacker exploits a vulnerability to expose users to malware.

Infect — user devices are infected with malware that can take control of their device.

Activate — hackers mobilize infected devices to carry out attacks.

To expose users to malware, the hacker will first locate a weakness in either a website, application, or user behavior. The goal of a bot herder is to keep victims ignorant of their exposure and eventual malware infection. They may take advantage of security flaws in software or websites to spread malware via emails, drive-by downloads, or trojan horse downloads.

In step 2, malware infects the devices of the victims, allowing it to take control of them. Using strategies such as web downloads, exploit kits, popup advertisements, and email attachments, hackers can produce zombie devices after the initial malware infection. If the botnet is centralised, the herder will route the infected device to a command-and-control server. Peer propagation starts if it’s a P2P botnet, and the zombie devices try to connect with additional infected devices.

When the bot herder has infected a large enough number of bots, they can mobilise their attacks in stage 3. To receive their order, the zombie devices will download the most recent update from the C&C channel. The bot then executes its commands and participates in hostile behaviour. The bot herder can continue to maintain and expand their botnet from afar, allowing them to carry out a variety of nefarious acts. Botnets do not target specific persons because the purpose of the bot herder is to infect as many devices as possible so that malicious assaults can be carried out.

How to Protect Against Botnets?

Devices can be protected from botnets in several ways. It is recommended that a company implement a regular security awareness training program that teaches users/employees how to recognize bad links to prevent these devices from becoming part of a botnet. It’s also a good idea to maintain the software up to date to reduce the likelihood of a botnet assault exploiting the system’s flaws. It’s a good idea to use two-factor authentication to prevent botnet software from getting into devices and accounts if a password has been hacked. Updating passwords across all devices, particularly the privacy and security settings on those that link device to device or to the internet, will provide a significant benefit to businesses. Rootkit detection is included in an endpoint protection solution.

Botnets are difficult to tackle once they’ve established themselves on a user’s device. One should make sure you protect each of your devices against this malicious hijacking to avoid phishing attempts and other problems.

Read More about Bots here: Bot Management

Bot Management- All you need to know!

What is a bot and its function?

A bot is a computer program that runs on a network. The bots are programmed to automatically perform certain actions. Normally the tasks performed by a bot are simple, but the bot can do it more often at a faster rate than one can do.

Bots can do any repetitive, non-creative work – anything can be done automatically. They can interact with a web page, complete and submit forms, click on links, scan text, and download content.

What is Bot Management?

Bot Management is a strategy that allows you to filter which bots are allowed to access your web assets. With this strategy, you can enable useful bots, such as Google search engines, while blocking malicious or unwanted bots, such as those used for cyber-attacks. Bot management strategies are designed to detect bot activity, identify bot sources, and determine the type of activity.

Bot management is necessary because bots if left unchecked, can cause serious web architecture problems. Too much bot traffic can put a heavy burden on web servers, slow down or deny the service to legitimate users (sometimes this takes the form of DDoS attacks). Malicious bots can scratch or download content from your website, steal user information, quickly spread spam content, and engage in other forms of cyberattacks.

Management systems that are too strict or that detect fake bots can cause significant damage to an organization’s business. For example, blocking bots on a search engine can lead to loss of traffic, conversions, and revenue, and blocking home-grown bots used for automated testing and automation can disrupt important business operations.

Bot management uses a range of security, machine learning, and web development technologies to accurately detect bots and prevent dangerous activity while allowing legitimate bots to operate without interruption.

How Does Bot Management Work?

To identify bots, bot administrators can use JavaScript challenges (deciding whether to use a standard web browser or not) or CAPTCHA challenges. They may also determine which users are human and which bot is based on behavioral analysis – which means comparing user behavior with normal user behavior in the past. Bot managers need to have a large collection of quality ethics data that they can check to do the latest.

Currently, three main methods of detecting and managing bots are used.

• Fixed method — uses static analytics tools to identify headers and web applications that are known to be associated with malicious bots. This process does not work and can only detect known and active bots.

• A challenge-based approach — using practical challenges or difficult or impossible tests for bots to perform to detect bots. Common challenges include CAPTCHA authentication, JavaScript capability, cookie acceptance.

• Behavior — evaluates user activity that may be related to that function about known patterns to ensure user identity. This process uses a few profiles to separate work and differentiate between human users, good bots, and bad bots.

The most effective bot management strategies incorporate all three strategies to detect the largest number of bots. Combining strategies increases your chances of identifying bots whether they are newly created or have flexible behavior.

In addition to self-control bots, one can also use bot reduction services. These services use automated tools to apply the above strategies and identify bots. They typically monitor your API traffic and use limitations to prevent API abuse. This level limit allows services to limit bots throughout your area rather than focusing on a single IP.

Bot Management – An Overview


Bot Management –
Bots are automated programs designed to complete tasks. The majority of bots do repetitive tasks. Programmers create bots to execute tasks at very high speeds.

Harmful Bots – Bots that are “bad” are now one of the most serious threats to companies. Malicious bot traffic can slow down a website’s efficiency, tie up online inventory, compromise personal information, and result in higher customer churn and revenue loss. They trigger a slew of business issues by targeting blogs, mobile apps, and APIs. DDoS attack, spamming, ad fraud and web scraping are examples of these types of attacks.
Useful Bots – Bots that are useful contribute to the web’s growth and development. They crawl site pages to assess SERP rankings and keep real-time websites up to date with data, or they assist customers in finding the best price for a product or locating stolen assets. It is important for today’s companies to be able to differentiate between good and poor bots.

Some Noteworthy Features of Bot Management Solution are –

  • Extensibility and Flexibility – Bot management extends beyond the website. All online properties, including your website, mobile apps, and APIs, are protected by an enterprise-grade solution. APIs and mobile applications are protected, as is interoperability with the business partners’ systems and critical third-party APIs. The bot mitigation solution is simple to set up and use, with no infrastructure changes or the possibility of traffic being rerouted from your CDN (Content Delivery Network) or DNS.
  • Customer Experience – Latency on websites and applications degrades the user experience. Any bot mitigation strategy does not add to the latency, but rather find and address problems that contribute to it. Bot detection accuracy is crucial. Bot management solution not only differentiates between good and bad bots but also improves the user experience by allowing approved bots from search engines and partners. During peak hours, maintaining a consistent user experience on sites like B2C e-commerce portals can be difficult. To tackle traffic surges, the solution should be scalable. It’s also important to keep false positives to a minimum so that the user experience isn’t harmed.
  • Bot Detection Engine – Bot management solutions use JavaScript challenges or CAPTCHA challenges to identify bots. They also use behavioural analysis to assess which users are humans and which are bots, i.e., comparing a user’s actions to previous user behaviour. For common pages, page requests can reach millions per minute, and data processing for bot detection must be done in real-time. This makes manual intervention difficult even inserting suspected IP address ranges is ineffective against bots that cycle through a large number of addresses in order to avoid detection. Bot mitigation engines with advanced technology including machine learning assist in automating their management capabilities, reducing the time and workforce required to handle bots dramatically. The overall cost of ownership is significantly reduced by automated responses to threats and a system that does not need manual intervention.

Bot management solutions are the key to ensure business continuity and performance, regardless of the size of an organization. The growing volume of global bot traffic and the magnitude of their cumulative effect suggests that bot management solutions are critical to ensure business continuity and success.