Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10D32D0A0D0C05A67025399C89632AB5BA7C39324CF271501A7F983EE7FEFC91CD952E5 |
|
CONTENT
ssdeep
|
192:af4OmphKotSfoj9o39LSB3LD8CZEisi4llQT/ldbK:aahKo9HklmldbK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec91e272ad5aa58c |
|
VISUAL
aHash
|
ffffff9b93908091 |
|
VISUAL
dHash
|
0e0c223636272123 |
|
VISUAL
wHash
|
e7fffb9393000091 |
|
VISUAL
colorHash
|
060020001c0 |
|
VISUAL
cropResistant
|
0e0c223636272123,e0d0840082d0e2fc,fcf2c2a4848494f0,7262726222202127,248a929a8a8ad033,0baea2b2b2b80073 |
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 486 techniques to evade detection by security scanners and make reverse engineering more difficult.