Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1900274335004C91B5EA7E58CF6C0E5CD619AD30AFB318982A2E4E16F6BC4EF9596133D |
|
CONTENT
ssdeep
|
96:NwnFh0CTaR1sY4lnWRzLlnqziW8rrhFolnVezZfMmORR1E8VConN/gW+0Ruwl:N8Fhwd4ARPAYfhFore9fMmUU8VCoqe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333cccccce0cccc |
|
VISUAL
aHash
|
c70747c7e7ffffff |
|
VISUAL
dHash
|
1cdecc8d8c000800 |
|
VISUAL
wHash
|
07070707073f0f0e |
|
VISUAL
colorHash
|
07000400030 |
|
VISUAL
cropResistant
|
1cdecc8d8c000800 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.