Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T172E16471A05859BF5142D3E1F7F8FF0BB6C78207DA025A0082F083DDABEAD51C9E5A59 |
|
CONTENT
ssdeep
|
96:TV3TcyzSurn8oOqpEfBc4cTfxKWZQq3lzFBdJSiM/H3l:9TcyzDg2fUMZFBTSiWHV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8067dc99999965b6 |
|
VISUAL
aHash
|
7f6363637f7f7f73 |
|
VISUAL
dHash
|
d4c6c6ced0d6c6c6 |
|
VISUAL
wHash
|
1f2023637b6b6363 |
|
VISUAL
colorHash
|
06001000180 |
|
VISUAL
cropResistant
|
a8cccc96a2948484,806080a900000800,9f33304e83f071b2 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.