Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CFE12FF0D154ED3B435386D9A7BA6B5B7791C349CF03054493F883AB5BCACA0CB11699 |
|
CONTENT
ssdeep
|
96:TkH2nbzD71tDlt8v67Mcddt+kaGtwvFrQeZXkHFmeEkXtz/M9Yfq2J:QH2nbzD715lt8iIGdskaGy2PjzYcqw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b31ccc66cc4dc1 |
|
VISUAL
aHash
|
ffffffffffffff00 |
|
VISUAL
dHash
|
2008180c0c300000 |
|
VISUAL
wHash
|
1f072727070fcf00 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
200808080c000800,0000000000000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.