Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B2531E713D435422306F22CF4117660DA1D1F7CED642AFD86AF09228DBB9D65BBE32A4 |
|
CONTENT
ssdeep
|
384:wlAZRQbQdHPJNRKnQwHPJU4rehdhHe1kVRICXW1sJRuruCRJQ4t2A20EizDSz0sQ:DNvkUTHEQ4t2AO/Kz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
87181d2f33dcf072 |
|
VISUAL
aHash
|
0e1f1f1f273f3f3f |
|
VISUAL
dHash
|
78f0fcfdcdeeeede |
|
VISUAL
wHash
|
080e0e0f073f3f3f |
|
VISUAL
colorHash
|
00008000c00 |
|
VISUAL
cropResistant
|
78f0fcfdcdeeeede,efdfddf133deefbe,ad594d2d4d5929ad |
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 9584 techniques to evade detection by security scanners and make reverse engineering more difficult.