Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BB918530A015B93E1297C2E2EBB4E36FB3C556A6F913674547F0D31E8EC9DD1C941609 |
|
CONTENT
ssdeep
|
48:PJOcC96njxp9bV6SLDT6SevqlOI9AaNBkAe0jnFwlDrIZOK2:cb96nv9V6UT6SevqB9AM1e4MXXl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
88d5aaf5f2a2d4a8 |
|
VISUAL
aHash
|
ff18180018181311 |
|
VISUAL
dHash
|
f030b220b2b0a323 |
|
VISUAL
wHash
|
ff18181818ff1b1b |
|
VISUAL
colorHash
|
38000038000 |
|
VISUAL
cropResistant
|
5347575553137756,f030b220b2b0a323 |
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 16 techniques to evade detection by security scanners and make reverse engineering more difficult.