Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14AD133746580303F572BDACA7257A75EB1B3C10BDA830C683AB9CA9A5FF5F06C5610C1 |
|
CONTENT
ssdeep
|
96:THJP98vvbcayGzi7jQJ9nZSWBdEPoT5F2SPALs79LUfIvhIWj60OA:t9qDca4jc4W3ZF9LUfIvK26PA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9a6c13258e9a6db3 |
|
VISUAL
aHash
|
0000d8ffff000c2c |
|
VISUAL
dHash
|
06b43321a58758c9 |
|
VISUAL
wHash
|
0010ffffff410c2c |
|
VISUAL
colorHash
|
32601000000 |
|
VISUAL
cropResistant
|
90808262628200b2,616a0c8686e46464,06b43321a58758c9 |
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.
Pages with identical visual appearance (based on perceptual hash)