Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DBA2526021612EBB1387A1E07661EF87F194F389CA6BDA1553FC535B2ECECC1CE45611 |
|
CONTENT
ssdeep
|
384:eVoHHHt3+TIorwswEKqVsnZu528Z09UfpRF/7LzCzuUgPXbAhPhJhjTmJuq:eOHh+Tvwsws0YlVHzBcq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b11931d3dbe68664 |
|
VISUAL
aHash
|
080000ffffffffff |
|
VISUAL
dHash
|
d9dbe7a230688616 |
|
VISUAL
wHash
|
00000013ffffc7ff |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
d9dbe7a230688616 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.