Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13F129759EBA758333037C5CAB4B7132578ED420AE9061405E6BF4FA94BEEDD6F813806 |
|
CONTENT
ssdeep
|
192:ahnA8ZuOP1cw9iTCWOrmHTafkgtS+sw/6:6AiuO+MYCWOrmHTafkgtS+sw/6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cdd3934d466d109e |
|
VISUAL
aHash
|
7cfdfc707150302c |
|
VISUAL
dHash
|
e14151c346d243c8 |
|
VISUAL
wHash
|
7cfdfd70f100302c |
|
VISUAL
colorHash
|
38401000180 |
|
VISUAL
cropResistant
|
e14151c346d243c8 |
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 69 techniques to evade detection by security scanners and make reverse engineering more difficult.