Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D5A3DF234259752A4077C7D430AA1F3BD1BA994BFAE709400EDCC7F62BFAC50742B699 |
|
CONTENT
ssdeep
|
768:lNn9tMbXReQ/GJi55RPGOrbGLIP4IJQCqFn40:f9tMbXlOJi55R+OvSILeCqFn40 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9212ed6d0d7f1692 |
|
VISUAL
aHash
|
00040e060600ffff |
|
VISUAL
dHash
|
d7fcecccfc0c02c0 |
|
VISUAL
wHash
|
000e0e2e0e86ffff |
|
VISUAL
colorHash
|
02003400400 |
|
VISUAL
cropResistant
|
fcacccccfc0c0078,c93636c89a98946b,4a4b34b6aaca8962,dcfcececccfcec1d |
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 29 techniques to evade detection by security scanners and make reverse engineering more difficult.