Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15AC27631A1006F37969382CEB2A1671E52E3430AEA46165DE3FD83BD07E3D54DF23969 |
|
CONTENT
ssdeep
|
384:1+QepNPvtRORl7sYlvQdt1JJf4xz95wE53IYsOy2+y9BH4cCUIe:0QepNuTy1JJK3wo7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d243dd3a9839b8a9 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
b8ccc8c8cd8d8300 |
|
VISUAL
wHash
|
0c7c30006c45ffff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
0080800030b08000,b8ccccc0c8cd8d8b |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.