Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11A6429457611712A41EB21C6A43F060E7236EBA5A207850CF15BD6FC2E6CC8DA2FFB75 |
|
CONTENT
ssdeep
|
6144:w130a+5FEzu9p5e9u7Chn1S/Y7nHQJLs33oSNF92xoNq:80a+5FEzAp5ou7CXPnOLNSNFU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
caa195dc926cd2b3 |
|
VISUAL
aHash
|
fffff9003810003c |
|
VISUAL
dHash
|
a3e8c161e9f1b2e8 |
|
VISUAL
wHash
|
fffff9003c10103c |
|
VISUAL
colorHash
|
02000000043 |
|
VISUAL
cropResistant
|
0000808000808000,0000d4d0d0c40001,5653697d5351a424,532aba93b46d2bb0,abcb54c68c556868,c9cbd4d56544b2b3,8280825edec28080,6961696969d4c40e,002010e3ab815000,8103e169f1b281e8 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.