Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DEE2B732D11AB93F06AB63D1A7B4A35A73D64389C943072542FD8B4D0FFBC91DE52494 |
|
CONTENT
ssdeep
|
384:m9XII0tIIIII90lB9G7wbMJyjdZhxWngPzBj1gbHlpW:aXIIkIIIIIhowovhxZqby |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7e37d1c1869c692 |
|
VISUAL
aHash
|
00e3e7fb3f3c1818 |
|
VISUAL
dHash
|
87cfcfcbf5e4f0f0 |
|
VISUAL
wHash
|
00e1e7ff7f381818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ee9c888c0c,0002606068400000,87cfcfcbf5e4f0f0 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)