Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10D4342B15143096F8A87E0C9BA655F4AE1C6920BC7620D4DB7F6831F9FC2D60FC8DA61 |
|
CONTENT
ssdeep
|
1536:YIIIZJ7hxEXv+eeecnJeeecw+eeecnJeeecV+eeecnJeeecBTkF:PE1+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b863bd86519e9d12 |
|
VISUAL
aHash
|
0100000060ffffdf |
|
VISUAL
dHash
|
1f839388c8253516 |
|
VISUAL
wHash
|
0341006064ffffdf |
|
VISUAL
colorHash
|
12006200000 |
|
VISUAL
cropResistant
|
c820a53534951612,1e1b9793b1b2c88c,b49a0d4c46434543,170f0f17170f0f07 |
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 142 techniques to evade detection by security scanners and make reverse engineering more difficult.