Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AD3112B8A0614AFF5143D7A0B792AF56A99DDB47CAA34209B2F9426E37C6D708C44340 |
|
CONTENT
ssdeep
|
24:hUZ2CHJwDfW/huI2rpAbNRg7fxwfHEQjiYN9uuawfHEQjGEaF9VAZtoojIDy09pc:844huIXoJ0hHwJ0LaqZSFy0ASw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccc3333cccc6699 |
|
VISUAL
aHash
|
0000181818000000 |
|
VISUAL
dHash
|
0000303030101000 |
|
VISUAL
wHash
|
000038381c1c0000 |
|
VISUAL
colorHash
|
38001000180 |
|
VISUAL
cropResistant
|
0000303030101000 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)