Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T144720E38B843386BDD3BC594B8AA5F186507D335C2050E5CBB6D2AA56BCBCD44F32368 |
|
CONTENT
ssdeep
|
384:Rh7pi3lJtNpjYZ5Lf/yLfQ/LfvJLfk8rCtTzhBeC3c:R/i1bNZYZ5Lf/yLfQ/LfvJLfk8rCtTz2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333558e66668c99 |
|
VISUAL
aHash
|
e7e7e7e7e7ffffff |
|
VISUAL
dHash
|
4d4d4d4d4d000c4c |
|
VISUAL
wHash
|
c3c3c3c3c3e7e700 |
|
VISUAL
colorHash
|
07400000043 |
|
VISUAL
cropResistant
|
4d4d4d4d4d000c4c,ccececdcccd4d5f4,337373f2b2328633 |
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 344 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.
Pages with identical visual appearance (based on perceptual hash)