Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17DD223735415A533267386D587223B4FA2C5A28ECD321942EBFC47787FEADA4EC23614 |
|
CONTENT
ssdeep
|
192:pZqILxT76sKb8uqOz07OispOFRPcIcVhJLKMgfpVA4teeqvTk08mIqJbpn8KSNV5:OItT76DAi0DFVuEm1h7JY03nhq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e081782f1f9f07f0 |
|
VISUAL
aHash
|
03e0666e6620c0c0 |
|
VISUAL
dHash
|
a6948cc8cccb9090 |
|
VISUAL
wHash
|
03e27e7e7e60d8c0 |
|
VISUAL
colorHash
|
10000000180 |
|
VISUAL
cropResistant
|
948ac5d8cccac29c,a6948cc8cccb9090 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)