Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T103A196752224883F11375FA2F4D2B25CD49AF24EC6568934E2ED83FF5ED0EA18223931 |
|
CONTENT
ssdeep
|
96:snFeM6SXW/5/7fxQq/EMDemVFevwv893Sfk:snFeM655fzFeBS8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333cccccc333332 |
|
VISUAL
aHash
|
ffffe7e7ffe7ffff |
|
VISUAL
dHash
|
0c324d4d084d3008 |
|
VISUAL
wHash
|
97a701474386b67d |
|
VISUAL
colorHash
|
07000003180 |
|
VISUAL
cropResistant
|
0c324d4d084d3008,4101686411350101 |
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 11 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)