Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1074102B30104DC2E6B63D3EACFD6B169C153820DDEA11C51C5DA45AE4DD4EF1E453267 |
|
CONTENT
ssdeep
|
24:harlMYwqXe6jfJTcJycJ1cJUcJ2enIk86bLZ/6bLpG5dbGDuQioMNubGyfFMhTYq:KNeYfGpMnUenLtS3vNiGVkIFa |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a68c597389cd66cc |
|
VISUAL
aHash
|
1f3f3f7fe7e6fcfc |
|
VISUAL
dHash
|
e0e0e4eacc4c3008 |
|
VISUAL
wHash
|
000e173f66e4fcf8 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
e0e0e4eacc4c3008 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.