Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T107D3A4D55618038CA15BCABCFF2FFE05131FB1AABA558680294EC26895CF8D2F71752C |
|
CONTENT
ssdeep
|
1536:/r0RQ7HU74+ZVmxXB2kgc1zts22ah5enQbJk9t6XFlFsR8MLqcjXFsR8MLqceV0:z0RQ7Hi4WVmxXAkgc1ztsNazDJy4X+Kp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b87bc3c3c6b63094 |
|
VISUAL
aHash
|
f9d987879f8bdfd7 |
|
VISUAL
dHash
|
4b333e3b331f3536 |
|
VISUAL
wHash
|
ff818787c38183d3 |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
4b333e3b331f3536 |
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 150 techniques to evade detection by security scanners and make reverse engineering more difficult.