Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E6335C32CAA25477670B86C83E295F8AF2BB890CCE738E0572F9D3D4A7D6C418E11C55 |
|
CONTENT
ssdeep
|
384:SfQSUdJ5A2anfjIO0QC3VAigeO/elOC+BJtyn8:SoHJ5Arnfje7VlgeOmx+Hsn8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fca99413e20bbc0f |
|
VISUAL
aHash
|
dffffbf1e0000094 |
|
VISUAL
dHash
|
1e1636030f162524 |
|
VISUAL
wHash
|
cffffbf1e0000094 |
|
VISUAL
colorHash
|
11600030000 |
|
VISUAL
cropResistant
|
070b1a9a88080881,c4c6c3d1cdeaf2b7,d0e0b0b0f0e0c040,209012b60c8a8bcb,fe7efef2f8fffe9d,1e1636030f162524 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.