Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13B626436B10C1208225238E2E4B9339EB72F153E7E4308F079B5DE1EC2D972EB5319A5 |
|
CONTENT
ssdeep
|
384:FtQWDJns08EEuSEWSNQUDkx7bxabix4G9saLG:FtQWDJs08EEuSE9IRgWjCaLG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e9e1873c93696c32 |
|
VISUAL
aHash
|
ffff81818181d3ff |
|
VISUAL
dHash
|
022313132b330700 |
|
VISUAL
wHash
|
ffc381818181c3ff |
|
VISUAL
colorHash
|
17030000040 |
|
VISUAL
cropResistant
|
022313132b330700,0f33333b2f2b2360 |
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.