Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1370254E1C044ED3B431282D5B7B57B5B76D1C745CF060984A3F843AB9BDAC90CE26A9E |
|
CONTENT
ssdeep
|
96:TkbkzYh7MSRhle8eWHuSTytkQ8v67M0XwLZwvFqe5XSHFHexXLX/I+ytgA6bqSDs:QbkzYhh7uP8iIsw48whXjy6AEq78c |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4e41393bc3cc347 |
|
VISUAL
aHash
|
fff3f3d3f3ff00ff |
|
VISUAL
dHash
|
0806062626081a9a |
|
VISUAL
wHash
|
e7c3c3c3f30000ff |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
0806260626264905,1000000000000000,620e627248b6fa00,00000010125a5a5a |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.