Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T169A1726FD21C62361B0182D6726532EDE7CB305D3782DFD52EB1C09D63BCBA44572296 |
|
CONTENT
ssdeep
|
96:02U+4Pl4w/+qHetuW3pin8bjOzg6PGUDkyIZVNIGXlOQy9xI:r14POw2ketuW3pa8b6PgyQB+I |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a7a4d8782796d8e8 |
|
VISUAL
aHash
|
ff7fff0303ff7fff |
|
VISUAL
dHash
|
76e6864c4eb3e4da |
|
VISUAL
wHash
|
1737f7030303137f |
|
VISUAL
colorHash
|
07000008600 |
|
VISUAL
cropResistant
|
76e6864c4eb3e4da,0c0e9b8e4e8aae54,9baeabdbdacbba38,1717adad9dbd7776 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.