Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T169A3EE234259752A4077C3D430BA1F3BD1AA994BFAE709410EDCC7F62BFAC90742B659 |
|
CONTENT
ssdeep
|
768:zN29tMbXReQ/GJi55RPGOrbdXGBK/+zUFqcnT0:Q9tMbXlOJi55R+OvdXGBKaUFqcnT0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9612ed690d771693 |
|
VISUAL
aHash
|
00040e060600ffff |
|
VISUAL
dHash
|
d73cecccec0c0326 |
|
VISUAL
wHash
|
000e0e0e0e8effff |
|
VISUAL
colorHash
|
02003400400 |
|
VISUAL
cropResistant
|
bc6cecccfc0c0026,dcbd6cecccccac6c,1c07412513161c3c |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)