Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14AF10EF0D054ED3B435386D9A7BA6B1B7791C389CF03064463F883AB6BCACA0CB15599 |
|
CONTENT
ssdeep
|
192:QMB2nbzD71U3t8iIGtEm3B6zzhE7zNkcf9:QMiny1ZtECMHWWcf9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b319e60c19e666 |
|
VISUAL
aHash
|
ffffffffffff0000 |
|
VISUAL
dHash
|
000c08080c001000 |
|
VISUAL
wHash
|
20202c2404040000 |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
00080c08080c0c10,0000000000000000 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.