Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T115D25461622951B382B799C2E5B17F2B7E97F30FA40685246AAF818F2FD3C75BD01170 |
|
CONTENT
ssdeep
|
384:Gxj4xdiaRftEW0Gli/onXbKFPvDloj+tXJA:Gxj4xoFG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99ec8833333323bb |
|
VISUAL
aHash
|
991818100c181c18 |
|
VISUAL
dHash
|
71b232302a3a3a3a |
|
VISUAL
wHash
|
ff3c381c1c3c3c1c |
|
VISUAL
colorHash
|
38007000000 |
|
VISUAL
cropResistant
|
71b232302a3a3a3a |
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 10 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.