Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T158020EF1D140ED3B475386D9B7B66B4B7291C349CB430A4193F883AB6BDAC60CF21599 |
|
CONTENT
ssdeep
|
192:QsnfzD715lt8iI5wbYMD+4MD0z1VTFg5aqw:QUnf1cwsMD+nmjF2aqw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec64939b9bc78c18 |
|
VISUAL
aHash
|
ffc3d3f3d3dfffff |
|
VISUAL
dHash
|
2a06262636320200 |
|
VISUAL
wHash
|
c3c191918393c3ff |
|
VISUAL
colorHash
|
07000000030 |
|
VISUAL
cropResistant
|
2a06262636320200 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.