Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DEA3EF238159752A4037C7D430A61F3BD1BA994BFAE709404EDCC7F62BFAC60742B699 |
|
CONTENT
ssdeep
|
768:KNJ9tMbXReQ/GJi55RPGOrb2nIP4IF6IqFns0:k9tMbXlOJi55R+OvoIrMIqFns0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9612ed690d6f1693 |
|
VISUAL
aHash
|
00040e060600ffff |
|
VISUAL
dHash
|
d77cecccbc0c0324 |
|
VISUAL
wHash
|
000e0e2e0e86ffff |
|
VISUAL
colorHash
|
02003400400 |
|
VISUAL
cropResistant
|
fc6cecccbc0c0026,dcbd6c6cececac7c,1c07432513161c3c |
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 60 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)