Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13AE162A2D054CD330B6285D6B7B57B2F76B2C305CB020E9053F813AA57CED71CA225A9 |
|
CONTENT
ssdeep
|
96:Tkvt3tzH0L/STNnKiEdt7MfzFc2XyHFcKX7Sz/lSTu1m+AT43a:Qvt3tzH0LKRKiEdKfiqzs61o8K |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b93bc6f038ce1139 |
|
VISUAL
aHash
|
ff0f0f8f8f8fff7f |
|
VISUAL
dHash
|
1bde1b3b1a1a40d8 |
|
VISUAL
wHash
|
0f070b0f0f0f0f3f |
|
VISUAL
colorHash
|
060020001c0 |
|
VISUAL
cropResistant
|
1bde1b3b1a1a40d8,08245a3ab5b5b4b5,cbfbf9d8d9d99999 |
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.
Pages with identical visual appearance (based on perceptual hash)