Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AEB381D61628438CA14B996DEF2FFE05131FB0AAB95889801A4FC66CD2DF4D6F70752C |
|
CONTENT
ssdeep
|
768:MZD+N7Y1rRf6hxG7krB0RQ7Hpw/9PyfR8MRERXQHK51qRX0CX/9PyfR8MRERXQHk:so0RQ7HpwFsR8MLqczXFsR8MLqcMWFo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ac3b93ce6ca13338 |
|
VISUAL
aHash
|
ffdf818381f7ffff |
|
VISUAL
dHash
|
402b1b1737270e9e |
|
VISUAL
wHash
|
ff8181818183ffc7 |
|
VISUAL
colorHash
|
07038000000 |
|
VISUAL
cropResistant
|
402b1b1737270e9e,155d69685a46f634,3133dadccdcd2d2c,3571490b470e191c |
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 145 techniques to evade detection by security scanners and make reverse engineering more difficult.