Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12042987072141D3E91178BA8F2A4B77D61DBA30DCA0FD519B0B9127747CBCC1AC67AA8 |
|
CONTENT
ssdeep
|
192:uMjanbQjv7O+D9JLfThgHm5x6w6PMx6P49J18I4ce/Kkp:JjanMjLTLVgG8DwT185rp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
800184fc94fefd7c |
|
VISUAL
aHash
|
3f00022ec0c0c0ff |
|
VISUAL
dHash
|
e4c2dad8a2202020 |
|
VISUAL
wHash
|
3f00023ec3c3c0ff |
|
VISUAL
colorHash
|
07600018000 |
|
VISUAL
cropResistant
|
e4c2dad8a2202020 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 12 techniques to evade detection by security scanners and make reverse engineering more difficult.
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.