Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18BA2A6218345379F499600D2E3606FD6D3E2815AD7220E44E56EDB3FAA8D964CA336FC |
|
CONTENT
ssdeep
|
384:fqwEBm5f3y4/F93dtMaUhuFO2WKRZS1W8H:fqbTyBtWhuFhxRZAH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b939cec63630c993 |
|
VISUAL
aHash
|
c3c3cfc7c7ffffff |
|
VISUAL
dHash
|
0e92909e9e644c30 |
|
VISUAL
wHash
|
81cbcb81809ee6fc |
|
VISUAL
colorHash
|
07403000040 |
|
VISUAL
cropResistant
|
0e92909e9e644c30,0044ab4c5454aa00,332409070b070715,a6eee6e6c686c606 |
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.