Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T110E13EF1D040ED3B435386D9A7BA6B0B7691C349CB431A41A3F883AB9FCAC60CF15599 |
|
CONTENT
ssdeep
|
192:QU3SnfzD715lt8iIGvR6IwhPiXly6Zaqw:QU3+nf1ZvsIwliTZaqw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4649b9b9998c3c5 |
|
VISUAL
aHash
|
f7c3e3c3e3ffffff |
|
VISUAL
dHash
|
0e2626a626060000 |
|
VISUAL
wHash
|
c3c3c3c323230f0f |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
0e2626a626060000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.