By Andrius Palionis, VP of Enterprise Sales
at Oxylabs.io
Cyberspace
is a complex system with the potential for infinite expansion. As its
importance continues to grow, global organizations face threats that can cost
them billions while compromising their network security and business
reputation. Cyber threat intelligence is a vital strategy that prevents
attacks, and web scraping is critical to its success.
The internet is far deeper and more expansive
than most people imagine. Most users browse the easily-accessible pages of the
"surface web" - approximately 10% of internet space - while being completely
oblivious of the "deep" and "dark" web where the majority of data lives.
The terms "dark web" and "deep web" tend to be
used interchangeably, however they are fundamentally different. While both are
hidden from the public and inaccessible with standard search engines, the
content on each varies considerably.
According to a report by Dr. Gareth Owen from
the University of Portsmouth, the
majority of dark web content comprises illegal activity. In
contrast, most deep web content is legal and hidden behind password-protected
login forms, including online banking services, social media profile pages,
streaming entertainment, and webmail. Since the deep web is a repository of
valuable financial, governmental, and personal data, it is most often the
target of organized crime, estimated at 80%, according to a recent Verizon report.
Types of Cybersecurity Attacks
The majority of cybersecurity attacks are
data-related, with the end goal of obtaining financial compensation. The most
common types include:
Data Breaches
Data breaches are security violations where
cybercriminals view, copy, use, transmit and/or sell data. Business and
healthcare are the most targeted industries, according to Statista.
Phishing
Phishing is a technique that uses emails to
obtain sensitive data from unsuspecting users.
Social Engineering
Social engineering is a set of psychological
manipulation tactics that coerce individuals into revealing confidential data.
Examples include:
- Baiting - the use of a false
promise to trap a victim and steal personal and financial information
- Scareware - a type of malware that
uses pop-up ads and other techniques to coerce users into downloading malicious
software
- Pretexting - a technique where an
attacker lures a victim into a vulnerable situation with the goal of tricking
them into giving up private information
Malware
Malware is software secretly deployed into
devices, servers, and networks to access data, disrupt services, or compromise
system function.
Ransomware
Ransomware is malware deployed into a machine
that threatens harm unless a user pays a fee. Examples include blocking access
to critical data, compromising system function, and publishing personal
information.
Cyberattacks are a Growing Problem
As more businesses put their databases on the
deep web, cybersecurity threats continue to grow. According to sources
referenced in a recent Oxylabs threat intelligence report:
- 36 billion records were exposed
via data breaches by the end of Q3-2020
- The global information security
market is expected to reach $170.4 billion by 2022
- 55% of enterprise executives
planned to increase cybersecurity budgets in 2021
Besides compromising security and taking
systems down, cybercrime directly cuts into business profitability. According
to an IBM report, the average cost of a data breach
is $3.92 million at $150 per record, with an average size of 25,575 records
lost per incident.
Numerous factors contribute to security
vulnerabilities that lead to data breaches. According
to IBM, the five most common include extensive cloud migration,
third-party involvement, system complexity, compliance failures, and issues
with operational technology.
Threat intelligence is critical to reversing
this trend by helping organizations obtain data to use in security strategies.
In addition to ensuring that adequate security measures are in place, threat
intelligence helps professionals:
- Understand cybercriminal methods
and goals
- Trains security teams
- Leads to the creation of tools and
systems that protect data and prevent future attacks
How Web Scraping Supports Threat
Intelligence
Cyber threat intelligence addresses cybercrime
with information and skills that identify, minimize, and manage cyber attacks.
This intelligence is typically gathered from all levels of the web, including
darknet forums and websites.
Quality intelligence that is current and
relevant is critical to the success of cybersecurity strategies. To obtain
high-level insights, cybersecurity experts use web scraping to crawl the web
and extract information from target websites.
The web scraping process comprises three main
steps that include:
- Sending data requests to the
target website server
- Extracting and parsing data into
an easily-readable format
- Data analysis
Cybercriminals attempt to escape detection by
identifying cybersecurity company servers and blocking their IP addresses. To
address this issue, datacenter and residential proxies are used to
maintain anonymity, avoid geo-location restrictions, and balance server
requests to prevent bans.
Components of a Threat
Intelligence Strategy
Threat intelligence strategies typical consist
of a process or cycle with steps that include:
Planning and Direction
The first step is to determine the data that
needs to be protected and set goals for what intelligence is required to
minimize threats and prevent attacks. Additionally, analysis is conducted to
identify potential impacts and outline remediation efforts.
Data Collection and Processing
Once the project scope is outlined, data is
extracted via web scraping from websites, news, blogs, forums, and all other
relevant locations. In addition, some closed sources may be identified and
infiltrated on the dark web.
Data Analysis
Following the web scraping process, analysts
examine the collected data to determine potential threats and their source.
Dissemination
The collected data and analysis are forwarded
to organizations through distribution channels. Some cybersecurity companies
build threat intelligence distribution platforms or feeds that provide
real-time information.
Feedback
Following plan implementation, results are
recorded and feedback is sent to fine-tune the strategy.
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ABOUT THE AUTHOR
Andrius
Palionis, VP of Enterprise Solutions at Oxylabs
Since 2015, Andrius Palionis has been
supporting major companies around the world in their journey towards data-driven decision making.
His motto "persistence is progress" has driven him to transform global
attitudes towards the importance of data to business success and growth. As a
Director of Sales and later VP of Enterprise Solutions at Oxylabs, Andrius obtained
an in-depth understanding of main challenges that arise with data acquisition.
Day to day, he uses his problem-solving and team management skills to
accelerate the performance of numerous companies by successfully bridging their
data needs with the most effective solutions.