Web Forensics
                     Web Forensics
Under the surface web (accessible 
by everybody) and the deep web 
(accessible with a password or 
code) is the dark web, which 
accounts for 90% of all web 
content. 
This layer of the internet is a great source for 
digital forensics since criminal elements, 
hackers, terrorists, members of crime 
organizations, and other threat actors 
exchange information, buy and sell stolen 
data, illicit goods, and hacker tools, plan 
terrorist attacks, and pay or get paid in 
cryptocurrency.
Law enforcement agencies need to 
access the dark web to follow the 
digital footprints of criminals and get 
insight into their networks, 
transactions, and co-conspirators.
But dark web scanning to collect and process 
big data is time-consuming and complicated 
for analyzing these huge amounts of data 
from dark web marketplaces, forums, blogs, 
online message boards, and social media. 
Therefore, Investigators and analysts need 
OSINT tools for dark web scanning to identify 
and find links between criminals and various 
profiles.
But dark web scanning to collect and process big 
data is time-consuming and complicated for 
analyzing these huge amounts of data from 
web forensics marketplaces, forums, blogs, 
online message boards, and social media. 
Therefore, Investigators and analysts need 
OSINT tools for dark web scanning to identify and 
find links between criminals and various profiles.
The results of the analyzed OSINT 
data sources must be presented in 
graphs and maps for actionable 
insights. In other words, a best-of-
breed dark web scanning service is 
needed.
Dark web monitoring tools help 
investigators and analysts to identify 
threat actors, follow the cryptocurrency 
money trail, map connections between 
threat actors, their affiliates, and group 
members to solve and prevent crimes 
such as cyber threats.
Dark web monitoring tools are also useful for 
detecting and preventing insider threats. 
Such internet monitoring software can scan 
for direct mentions of a specific organization 
(e.g., a bank or a research lab) or specific 
assets (e.g., research papers, confidential 
memos, or drafts of patents) that could 
indicate either being targeted or a potential 
breach.
The best dark web monitoring services 
use smart algorithms, especially Natural 
Language Processing (NLP), since a lot of 
dark web forums and message boards 
are in various languages, including 
English, Arabic, Russian, and Chinese.