Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10E92A73260546A3B5197D6DD7662A33EA0E3420EDF850819A3FC87AD47EBD94ED2340F |
|
CONTENT
ssdeep
|
384:soNy5NzCjGI+PomAifetiCEIIIIImF+FwKYmeMQOhuIYsOy2+y9BH4cCUIe:ZNy5NzIwVIIIIImF+FwPmeMQz7sOy2+i |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d36bec12b049f586 |
|
VISUAL
aHash
|
000020000400ffff |
|
VISUAL
dHash
|
1d43c34bcc3c7100 |
|
VISUAL
wHash
|
00f1f1a00f00ffff |
|
VISUAL
colorHash
|
39001200180 |
|
VISUAL
cropResistant
|
00204c4d0c142000,6100a00170b08000,9d0b43cb4bcc3c71 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.