Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1410467727004CC330197B9D440746B1FA1CED35EDE6322CE67F54BB9AAC9DA4EE52A84 |
|
CONTENT
ssdeep
|
768:CMZfSFtwZmQMiW5NqSi5MDQzazXMRsnrBEQ0sFiS1l3BD0TY15zClEWkbOSdQkUW:oLw9MizkK9k4zdssxIeqfJN/7X |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b843572a4d9a969e |
|
VISUAL
aHash
|
0000fffbdbdfffff |
|
VISUAL
dHash
|
96963032323e3636 |
|
VISUAL
wHash
|
0000dbdbcbdbcbca |
|
VISUAL
colorHash
|
06038000000 |
|
VISUAL
cropResistant
|
96963032323e3636,535125282825591a,1012929703030303,0000000025000000 |
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 197 techniques to evade detection by security scanners and make reverse engineering more difficult.