Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C972A43501805A7F53B356E4B3B6F725F0D2C04ACD592180B6FC866A83EACE4D91DA6F |
|
CONTENT
ssdeep
|
192:P6ZJtmjuXQVQZtKXQVQpOUooiKNiHohQcanXTVXjufSwE:SZJtGuQhooiKNi/ZjufbE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b173894d8d2726a7 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
c8100c141420d0fa |
|
VISUAL
wHash
|
7f0c001c2030ffff |
|
VISUAL
colorHash
|
070020001c0 |
|
VISUAL
cropResistant
|
c8100c141420d0fa,4145497171494545 |
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 67 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)