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Dark Web Impact on
Hidden Services in the Tor-
based Criminal Ecosystem
Dr. Marco Balduzzi @embyte
Sr. Researcher at Trend Micro
Forward-Looking Threat Research
A perfect platform for
eCrime
Courtesy Ionut Ilascu, Softpedia
What do attackers do?
What do attackers do? After…
How to Study such Attacks?
(In the Dark Web)
We simulate a cyber-criminal
installation in Tor
Honeypot
I. Black market
II. Hosting/service
provider in Tor
III. Underground forum
IV. Misconfigured server
(FTP/SSH/IRC)
Technology
I. OsCommerce
II. WordPress + Shells
III. Custom
IV. Debian Linux
Honeypot #3
Registration Only Forum
Exposes a Local File Inclusion vuln
Role of Tor2web proxies
Data Collection and Advertisement
• 7 months experiment
• Month 1: Different advertisement strategies
to honeypot #1
• Month 2: Advertised ALL honeypots using ALL
strategies
• Month 3-7: Restricted access by blocking
incoming Tor2web traffic
Daily POST Requests
Attacks and Files Uploads
• Phase 2 onwards
• Average of 1.4 malicious uploads per day
[Canali et al. NDSS 2013]
Traditional Web Attacks
Password-protected Shells
Obfuscation
Abuse of Tor Anonymity for Attacks
• Specifically targeting underground services in
Tor like marketplaces, forums
• Our honeypot!
Case of Tor-centric defacement
• Cyber-criminal gangs compromising opponents
• Self-promoting their “business”
Tor’s private key theft
• Used to compute the hidden service descriptor
Instruction
Points
Public
Key
Private Key
Instruction
Points
Public
Key
XYZ.onion
Signing
Keypair
Generation
Tor’s private key theft
• Over 400 attempts
• MiTM, hijack, decryption
Discussion
• Tor2web proxies play important role!
– Make the dark web not as private as someone would
think
• Hidden services are equally visible and exposed
as surface services
– Receive attacks within days
Discussion
• Dark Web is not safe heaven
– Attackers are actively conducting attacks against
hidden services
– Both automated and manuals
• Cyber-criminals are looking for services
operated by opponent groups
– Voluntarily attack them
• This work represents a first result in the
direction of understanding the attacks
landscape in the Dark Web.
Dr. Marco Balduzzi @embyte
Sr. Researcher at Trend Micro
Forward-Looking Threat Research
http://www.madlab.it/papers/sac17_darknets.pdf

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