Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CB529620110C2E3E67278798F695B37842A9C34AD61B962DF67C12B217C3D95EC337E4 |
|
CONTENT
ssdeep
|
384:dkyrYu6tiPawJ4xLKtOxxlcO8FuuLV2ZtS/SaS8:rYuUiCwJ+OtO3lcO7bZtS/SaS8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1393c2e1f1f260e |
|
VISUAL
aHash
|
00fffffffff7ffff |
|
VISUAL
dHash
|
97105a5854240814 |
|
VISUAL
wHash
|
00032c2c2c2014ef |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
941c585804041814,ffffefeba3a7dfff |
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 15 techniques to evade detection by security scanners and make reverse engineering more difficult.