Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T102F28531A2559E3B44B7D2E5E3A5632B32E29389C946134483FC83BD0FEBD84FD26554 |
|
CONTENT
ssdeep
|
768:pQEarxsc//IpsMbqRPxA3w4A2C0BxtktarKhW6ohmL:6Z//IpdxtktarKhZpL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9eaa41eadd2ad12a |
|
VISUAL
aHash
|
f9ff9f9f9fff0000 |
|
VISUAL
dHash
|
2b7c3d392dcd07c0 |
|
VISUAL
wHash
|
b91f0f8f8ce000fe |
|
VISUAL
colorHash
|
07200038000 |
|
VISUAL
cropResistant
|
2b783d39292d4d07,0707060202c0d0c4,0000024444000000 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.