Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B4C2B831A0006A3B42E7D3D5B361A32FA2F3934AEB56051152FD83AD8BF7D94DB23516 |
|
CONTENT
ssdeep
|
384:ESby5NNuBeIHm/9xfMC8DAlPSy85wwThvceex1IYsOy2+y9BH4ciUIe:ESby5NNuBm7xVwTB27sOy2+y9BH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d26cfc32cd1c90e9 |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
8cccc4e0c8cc3c00 |
|
VISUAL
wHash
|
00fe6800206effff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
ca51458d0d715596,1080800458988000,9cccccc0e8c9dc3c |
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.