Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14803EA356341177E92838FD4B6E4E76822BB9346FA57846CF7AB02923FC5CE79835210 |
|
CONTENT
ssdeep
|
768:ZO1ChoXzf+wZf+tBXV1milif/kP50fn50KMhaNLQZ8VwiAFpT:xoojVEiq4C5HXYT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8da527a58da5a789 |
|
VISUAL
aHash
|
1300181818180000 |
|
VISUAL
dHash
|
6610703270703040 |
|
VISUAL
wHash
|
fffc39383c3e1800 |
|
VISUAL
colorHash
|
38000e00000 |
|
VISUAL
cropResistant
|
6610703270703040 |
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 29 techniques to evade detection by security scanners and make reverse engineering more difficult.