Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1134341B15157097F8A47E1CAFBA95F4AE1C6820BC7520D49B3F6831B9FC2DA0FC49660 |
|
CONTENT
ssdeep
|
1536:6III9DjxcTL+eeecnJeeecw+eeecnJeeecV+eeecnJeeec5Bwa:JcXwa |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c47b83e3986c747 |
|
VISUAL
aHash
|
0000783801ffdfdf |
|
VISUAL
dHash
|
afc5c4e2eb253513 |
|
VISUAL
wHash
|
0000787c01ffdfdf |
|
VISUAL
colorHash
|
0ae80000000 |
|
VISUAL
cropResistant
|
e9888181898989e9,c0c048cee1381e07,5321a53534371313,ed9fc1c4c4c0ebab,b49a0d4e46c34541 |
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 103 techniques to evade detection by security scanners and make reverse engineering more difficult.