Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FAA419502680686903939BF77327B9D6F8ED051FBD12484BD301FDA079E995AEEF0932 |
|
CONTENT
ssdeep
|
12288:j63EE6tqy2DlRpKzWZI9JPFqA68orHAt4gYgH1gYNUzggmggOI33bgg3HHWgg32H:0oW4W9A68og |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c0f8b9d9cb1f2407 |
|
VISUAL
aHash
|
fddd127070600f07 |
|
VISUAL
dHash
|
1995e4d5c3c8dcec |
|
VISUAL
wHash
|
fddc527079401f07 |
|
VISUAL
colorHash
|
07200030200 |
|
VISUAL
cropResistant
|
c041c94b6b4b6b6e,e4cece2c24242828,1995e4d5c3c8dcec |
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 40169 techniques to evade detection by security scanners and make reverse engineering more difficult.