Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T101D2B5335049293F07534AC6F771A35AE3A6E18AC6A70645A2FCC38D1BDACE1DE1705B |
|
CONTENT
ssdeep
|
384:jO/u9NIycIIeunUhU6+edAzcNNIqk0iOS9M/YVUB6H1Zzzo:jDIycIIeunx6+TTqPiOSuYV7pzo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b36262627332e3ea |
|
VISUAL
aHash
|
0000ffefffefffff |
|
VISUAL
dHash
|
8d3a1e1c1b1b1c1e |
|
VISUAL
wHash
|
0081878fc3c7cfcf |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
00048d0d0d8d0091,3b1b1c1d1b1f1c1a,0101054d4d050101,909094d2d29c9090 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.