Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A6B1BE20125AD43B0267D0D2E9AAB74F38E082BEFE97171157FC07BE66D6D14F81524A |
|
CONTENT
ssdeep
|
96:Meg4TmfR0hFB4gRUi1+1iBs8lsVNlnk8cTl6lTO:JgymfR0Ndz0iBs8lsVNlnk8hTO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc673098333ccce7 |
|
VISUAL
aHash
|
00183c183c3c1800 |
|
VISUAL
dHash
|
1470617069b0b24c |
|
VISUAL
wHash
|
001c3c3c3c3c3c10 |
|
VISUAL
colorHash
|
30007008000 |
|
VISUAL
cropResistant
|
8000802533008080,1470617069b0b24c |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.