Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T146234601116E611B197369C8EE22AA1470D746FD83E70F067A7C19EE6AF7D08F7124AF |
|
CONTENT
ssdeep
|
384:bonCGHfcYRGFPNXQzV2aPIpHvAGHfcYRGFPNJ8EFXdbdQDi:EXfbgcVZ2NfbgcQXdbh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cd603865e79c995c |
|
VISUAL
aHash
|
0000383c38381800 |
|
VISUAL
dHash
|
d282706060507021 |
|
VISUAL
wHash
|
32583c3c3c3e3e1d |
|
VISUAL
colorHash
|
38000032000 |
|
VISUAL
cropResistant
|
d282706060507021 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.