Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BBA2F97AD1C0191A43935661FF117ADF8938455CE272D250EFEEC1C2A7818A8C1B7EED |
|
CONTENT
ssdeep
|
384:5NcNmLNYQbqBgUIM90P9dWw4xRCgCCFUsI4h50D2llbWoOC8dkCbEjJFnuWyYMh7:5SULCQbq01P9dWwk8g3FdIsSK0BbCoKe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a9a3b174745dc5c1 |
|
VISUAL
aHash
|
6f6d690040001810 |
|
VISUAL
dHash
|
8ad9db2783339393 |
|
VISUAL
wHash
|
6f6d6981d191d991 |
|
VISUAL
colorHash
|
38000400400 |
|
VISUAL
cropResistant
|
8ad9db2783339393 |
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.