Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17911AF61A0BDDD9B605591987BD1D68A3AA5CAA4D77303045AE853AE1BCFDA4CC804D0 |
|
CONTENT
ssdeep
|
12:h4xMy7FUEOER8VAWNOuFIYjW1fzE/CcrCe/TgCHtEJ2FI8OzVn1tWGNELES:hRCBOERsLNCdE/CctgEtEuI8ezEIS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ddcc6633998c2633 |
|
VISUAL
aHash
|
f0c0d89898180000 |
|
VISUAL
dHash
|
000c323232320800 |
|
VISUAL
wHash
|
f8f8f8f8f8d8c080 |
|
VISUAL
colorHash
|
00002e00000 |
|
VISUAL
cropResistant
|
0000000000000000,a296a2b2baba33aa,000c323232320800 |
Victim enters credentials into 1 fake form. Form data is captured via JavaScript or backend submission and transmitted to attacker's server for account compromise.
Malicious code is obfuscated using 1 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)