Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T108D2B93161147E3702E3D1C672A1672EA2E7038FE7460515A3FE87AD0BE7D14DA6B21A |
|
CONTENT
ssdeep
|
768:FeAvoH7ivOEje5s52fru8/bE7sOy2+y9BH4c1Ie:n9p52yKbE7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d606b434bd34edc4 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
d4ccc4c8d0888c00 |
|
VISUAL
wHash
|
06747c207004ffff |
|
VISUAL
colorHash
|
31008001600 |
|
VISUAL
cropResistant
|
8c08808158d88000,d4ccccc0c8d0888c |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.