Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14AB2C7E396131A1F760B2699E9515306637F6018FB6AF5C377CDC62806C9DA0CC6BB83 |
|
CONTENT
ssdeep
|
384:rInO7WnOcvy0trFtQCLR7z4XCA+isiEPyo1MF3R6:rInO7WnO0y0NQCLRf4XqyoqF3R6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c6c639392938cfc6 |
|
VISUAL
aHash
|
00347c7070300000 |
|
VISUAL
dHash
|
29e4e4e0e4e00240 |
|
VISUAL
wHash
|
bb7e7e7878786000 |
|
VISUAL
colorHash
|
30000400010 |
|
VISUAL
cropResistant
|
cccc8ca8187c5cac,f2f879c7c6c8c48e,29e4e4e0e4e00240 |
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 84450 techniques to evade detection by security scanners and make reverse engineering more difficult.