Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14BD2A531A0105A3B42EB81CDB7B27F2EA2E3424AD645041696FD83BD9FD3E08ED37655 |
|
CONTENT
ssdeep
|
768:uerPiKHrXC08Yl60ioaIjfKruH7sOy2+y9BH4crIe:tiKHm03/fkuH7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c303b53af02cbccd |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
49c9c0c0c998c300 |
|
VISUAL
wHash
|
003c30f0fc00ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
d200d0014c8c8000,4dc9c0c0c9d998e0 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.