Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11C933BB03A59F5671AB34393109F1503B379562F980E4C207354ECEE72ACC9AA067FDA |
|
CONTENT
ssdeep
|
1536:cZUK0wsRoXFfbsQmlo2h2wV9LHd8tVPTMn57Bd0uq++iX8z:caK0wsSXjUMAL98n0d0++v |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7c7383832c7c761 |
|
VISUAL
aHash
|
6038303c0c282000 |
|
VISUAL
dHash
|
d06a686808d8d8c6 |
|
VISUAL
wHash
|
60f8f8feccfc6800 |
|
VISUAL
colorHash
|
38003240000 |
|
VISUAL
cropResistant
|
e8cc2169498eccf0,d06a686808d8d8c6 |
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 39 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)