Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A4C2733212690CFE367FD3C5D99C2706F14A948ECA0A5BD4DAEDC2CC69C9D909CF2646 |
|
CONTENT
ssdeep
|
384:xmvW1fZobNUpemlNmcuXwzQWhvBYCteH049rCVDLYtbK6apnVOy0:xmMZobKemlUcuXwztTDeHFEJ0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b939c6c6c66569c1 |
|
VISUAL
aHash
|
ff838181ffffffff |
|
VISUAL
dHash
|
4b3f1b1b212b080b |
|
VISUAL
wHash
|
e18181818fd9ffc3 |
|
VISUAL
colorHash
|
07600008200 |
|
VISUAL
cropResistant
|
4b3f1b1b212b080b,76b6d6d6b6f6b687,676765cc4d435373 |
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 47 techniques to evade detection by security scanners and make reverse engineering more difficult.