Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T146C2A6716150373F42A783C97B52B71EA2E38248DF46080A53FD87AD5BE7E50DE2352A |
|
CONTENT
ssdeep
|
768:US5y5NbY5zXeO54Xb37sOy2+y9BH4crIe:l5T07sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343f53adc2c8ccc |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
8cccc0c8c9e70e00 |
|
VISUAL
wHash
|
40e478203c03ffff |
|
VISUAL
colorHash
|
31008000e00 |
|
VISUAL
cropResistant
|
0480800458988000,9cccc8e0c8cdd70e |
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.