Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18E6262B6332191BB7187C2F75712F779B295D18AF82FF78993F1462B6781C628C21224 |
|
CONTENT
ssdeep
|
192:dk3jkm8q63JoPReShI8GdzSEb0a+C8EgmI:cIa3e8GdzSm9+C8EgmI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e7d3c96c92649899 |
|
VISUAL
aHash
|
e7e7e7e7e7c3c3ff |
|
VISUAL
dHash
|
2b0a0e4d4d16161c |
|
VISUAL
wHash
|
00e1e1e7e7c3c3c3 |
|
VISUAL
colorHash
|
07002000180 |
|
VISUAL
cropResistant
|
2b0a0e4d4d16161c |
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 46 techniques to evade detection by security scanners and make reverse engineering more difficult.