Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T124635131A940AC3B41CBAAC8A572577972B94385CA030698F9F583F95FDFC6DDA37048 |
|
CONTENT
ssdeep
|
768:xEKAsIx/jdg8y8PSar1upu+9MYR8/amlrpsUf79F:xisIxe58PSOYi/DlrpT79F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c1469ef4039f7895 |
|
VISUAL
aHash
|
3464282860fc7f3f |
|
VISUAL
dHash
|
e4c4d0d0d494f0d6 |
|
VISUAL
wHash
|
3474282860fc7f3f |
|
VISUAL
colorHash
|
000060000c0 |
|
VISUAL
cropResistant
|
e4c4d0d0d494f0d6 |
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 116 techniques to evade detection by security scanners and make reverse engineering more difficult.