Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1412484A03D03683B209F12CF9267571D62D0D7C9D6932AD4B6F093399EBAD90BFE5250 |
|
CONTENT
ssdeep
|
1536:HhRrB7CKirFEtND6pryjDocsh9a/wxalj8QvU4LtWlZ/A/YFBrDWxLYsRAxK4lef:Ht7nQk6p2XKHQvU4LtWprDbZlE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cd12edb249c3166d |
|
VISUAL
aHash
|
0000000000fffffb |
|
VISUAL
dHash
|
9cbae4c8e03c02b2 |
|
VISUAL
wHash
|
ff00200000fffffb |
|
VISUAL
colorHash
|
1e007000000 |
|
VISUAL
cropResistant
|
1000383a38c000d9,00000012121232b2,000c94d4d4940c00,fbbec4e4d8c8a030,999587051101159d |
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 75 techniques to evade detection by security scanners and make reverse engineering more difficult.