Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T162C382D55618038CA14BC97DEF2FFE05131FB1AABA558580298EC268D6CF8D6F70752C |
|
CONTENT
ssdeep
|
1536:yJ0RQ7H+7k+9VmxXB+kgc1ztsbdah6IlFsR8MLqc3XFsR8MLqceWG:A0RQ7HckmVmxXUkgc1zts5aM5OY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8f90bc70ed43ab0 |
|
VISUAL
aHash
|
ffffcfffffffff00 |
|
VISUAL
dHash
|
221b1b331b670091 |
|
VISUAL
wHash
|
fbc181c381f3ff00 |
|
VISUAL
colorHash
|
07008000e00 |
|
VISUAL
cropResistant
|
22131b331b232718,0100091515150510 |
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 150 techniques to evade detection by security scanners and make reverse engineering more difficult.