Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18E7472670259291A0477C3E434A91B3AD1AADD4FFAE70D008EDCCBF726F9CA0741B659 |
|
CONTENT
ssdeep
|
1536:ka1bSNYdao9tMbXlOJi55R+Ovj0MJazTE6+0LRzrH8ArXvUd0gAK6Fyu0Wi5I8SK:o9kMw1pD9kzD2UJGI5y0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
96cc6d269699c339 |
|
VISUAL
aHash
|
00007e7e7e660000 |
|
VISUAL
dHash
|
6507ccdccccc178e |
|
VISUAL
wHash
|
00007e7efefe0000 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
6507ccdccccc178e,42c6612126646c2d,4521416969610145,0101314d4d330901 |
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 38 techniques to evade detection by security scanners and make reverse engineering more difficult.