Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T154C28631B000773B129793D9B321F32EE2E29389D74A091952F9836D4FE7E94DA2751E |
|
CONTENT
ssdeep
|
384:/qwe/y5NgTe2pnKDtskO32FEly33TFf4j2cPS+pIYsOy2+y9BH4ciUIe:Swe/y5NgB1G133cPj7sOy2+y9BH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c373fc389d28c193 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
144cccc2cccde300 |
|
VISUAL
wHash
|
80eef6300400ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0080800458988000,944ccccecacccde3 |
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.