Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15AE10EF1D010ED3B0353C6D5A7BA6B0B7791C349CB031A4467F8D3AA6BDACA0CE15599 |
|
CONTENT
ssdeep
|
96:TkmvQCnBOknzD71tDlt8v67lhNatGGbSS8ctfsJaFVKXOHFNlX2XNz/dOfd2J:Qe3ngknzD715lt8iXEtGG55sIzduzQdw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b0b246cdad06c7cd |
|
VISUAL
aHash
|
cfc7c7c7cf810000 |
|
VISUAL
dHash
|
0f0f0f0f1a124810 |
|
VISUAL
wHash
|
ffc7c7c7c3e00000 |
|
VISUAL
colorHash
|
07001c00040 |
|
VISUAL
cropResistant
|
0f0f0f0f0f0f1b13,2751596951594d67,512120052528d7d6,6e9e8e8e8e2d8e9c,0000000000000000 |
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 61 techniques to evade detection by security scanners and make reverse engineering more difficult.