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 * Unmasking the Bot Threat: Exploring Bad Bot Analyzer Tool, Part 1


UNMASKING THE BOT THREAT: EXPLORING BAD BOT ANALYZER TOOL, PART 1

--------------------------------------------------------------------------------

By Zaid ImamAugust 31, 2023
47

WHAT IS BAD BOT ANALYZER



Radware’s Bad Bot Analyzer is an innovative tool that is available free of
charge. It serves as an industry-first solution, offering organizations valuable
insights into the extent of bot traffic on their website, app, and APIs. By
using this tool, businesses gain crucial information to enhance the security of
their digital assets and the impact on their revenue streams. Furthermore, it
assesses the effectiveness of existing defenses against bots and helps to
determine whether advanced bot mitigation solutions are necessary to enable or
not.


WHAT IT TAKES TO RUN BAD BOT ANALYZER

In order to effectively analyze and identify patterns and use cases, we require
customers to share access logs that contain specific parameters. These
parameters include:

Time Stamp: The timestamp provides the exact date and time when a request was
made, allowing for chronological analysis, and tracking of bot activities. Ex-
09/Jul/2021:00:51:48 +0600

IP Address: The IP address of the requester (Source IP/Client IP) helps identify
the source of the request, enabling us to differentiate between legitimate users
and potentially malicious bots. Ex: IP: 23.155.24.5

URL: The URL indicates the specific page or resource that was requested, giving
insights into the behavior and intent behind each request. Ex: seller.xyz.com

Referrer: The referrer field indicates the URL of the previous webpage that
referred the requester to the current page. This information helps in
understanding the source of the traffic and identifying potential bots or
malicious activity. Ex: https://seller.xyz.com/sell-online/pricing

User Agent: The user agent provides details about the software and device used
to make the request. It includes information such as the browser, operating
system, and device type. Analyzing the user agent helps in distinguishing
between different types of traffic, such as bots, mobile users, or desktop
users. Ex: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML,
like Gecko) Chrome/77.0.3865.90 Safari/537.36

By having access to these parameters within the access logs, our Bad Bot
Analyzer (BBA) engine can dive into the details of each request, effectively
identify patterns, and determine the specific use cases behind the bot activity.
This enables us to provide accurate analysis and insights to our customers and
allows to understand why Bot Manger must be enabled.


EXPLORE THE ANALYZER OUTCOME IN DETAIL

We have conducted an analysis on a website hosted in Germany, utilizing access
logs spanning a period of 7 days. The total number of records scanned for this
analysis amounts to 110 million.



ANALYZER SUMMARY



The Bad Bot Analyzer Report provides insights into the overall threat posed by
bots and identifies the specific use cases and pain points related to web and
mobile applications.

Good Bots: Good Bots encompass both Legitimate Bots and Crawlers. They play a
positive role in enhancing a website’s search engine performance by indexing its
content.


 * Legitimate Bots: Legitimate Bots include various types such as monitoring
   bots for websites, social networking site bots, backlink checking bots,
   partner website bots, and bots that gather information from other websites.
   These bots offer essential services and are considered legitimate.
 * Crawlers: Web crawlers systematically browse webpages to understand the
   content of each page, allowing for indexing, updating, and retrieval of
   information when users make search queries. Common examples of web crawlers
   are Googlebot, Bingbot, Yahoobot, Yandexbot, and others.









Bad Bots: Bad Bots are primarily employed for malicious purposes. They are
designed to engage in harmful activities like scraping website content, Account
Takeover, Fake Form Submissions, and various other malicious actions.

Humans: Human Traffic represents the number of genuine users who have accessed
the web or mobile application.



ANALYZING BAD BOT TRAFFIC TREND



The Bad Bot Analyzer Report includes a Bot trend graph that displays the
recorded activity of Bad Bots over the specified timeframe. This graph offers a
visual representation of the bot activity, allowing for a better understanding
of the patterns and trends observed on a daily basis throughout the designated
period.







The report lists the Top IPs (Internet Protocol addresses) that contribute to
the Bad Bot attacks. By analyzing the data from the above-mentioned chart, it is
evident that over the course of six days, a total of 18.8 million bad bot
attempts were observed. Within this timeframe, a notable spike in bot activity
occurred on a specific date, the 28th, with approximately 256,000 bad bot hits
recorded. This spike indicates a significant surge in malicious bot traffic on
that particular day. Furthermore, the analysis highlights the top three IPs
responsible for most of the attacks. These IPs played a prominent role in
generating and executing the bad bot activity observed during the timeframe.



WHICH GEO IS IMPACTING THE MOST



Geo-based statistics provide valuable insights into Bad Bot attacks originating
from different countries. In this case, it has been observed that a significant
amount of bad traffic is coming from Germany, Austria, and Switzerland. The web
application is accessible to users from these countries due to the nature of the
business. Furthermore, it is possible to map the specific URLs that have been
targeted by bots from each country.







Among these countries, Germany stands out as the major contributor, accounting
for more than 80% of the bad traffic. This information highlights the need for
focused attention on mitigating Bad Bot attacks originating from Germany, while
also considering the bot activity from Austria and Switzerland.


WHY A CUSTOMER SHOULD OPT FOR BAD BOT ANALYZER

This tool is free and provides comprehensive visibility into bot traffic on
websites, applications, and APIs, by looking at the log shared and allows
organizations to gain deep insights into the extent of the bot problem and
identify specific pain points. The tool’s capability to differentiate between
good bots, legitimate crawlers, and human traffic provides valuable technical
insights. Customers can optimize website performance based on the impact of each
type of interaction, ensuring a seamless user experience for genuine visitors.

Furthermore, Bad Bot Analyzer provides industry-specific insights, catering to
the unique challenges faced by different verticals.

In the upcoming section of the bad bot analyzer blog, we will delve into a
comprehensive analysis of various use cases, exploring their business
implications and practical applications.

Posted in: Application ProtectionTags: application protection

CATEGORIES

Application DeliveryApplication ProtectionCustomersDDoS ProtectionPartnersPublic
Cloud ProtectionService ProvidersThreat Intelligence

ZAID IMAM

With over 6 years in product management at Radware, Md Zaid Imam possesses
extensive expertise in cybersecurity, specifically bot mitigation, and
protection. Known for a dynamic approach that is both data-driven and
analytical, Zaid's knowledge and experience provide a unique and informed
perspective on the cybersecurity landscape. As a technical expert in the field,
zaid consistently delivers innovative solutions to address complex cybersecurity
challenges. Passion for and dedication to the industry make him a reliable
resource for all things related to cybersecurity.

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2, 2023
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