Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ECB1FFE1C1E0AA37449783C076B46F6B23EC821DDA4326A193E8D79D4FF2C51ED79006 |
|
CONTENT
ssdeep
|
48:/SNbOMhGST0QakVaR5zxrJXgUg9L/whUxMGoJvz3S+fOk8GW1wj6mVbQYneCTbkr:/SNdLTqkVU5zP9gx4hZLiqOjbwuY1k |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc4c1913e6ece533 |
|
VISUAL
aHash
|
000000ffffffffff |
|
VISUAL
dHash
|
347036064cc44402 |
|
VISUAL
wHash
|
00000072fee6fed0 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
a6e6484cd4cc0200,0834341670713032 |
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 48 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)