Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18CC29471A1406B3B0693C3C976627B2FA2E3814DEB86190243FD876D0BEBF54DD23566 |
|
CONTENT
ssdeep
|
768:lheO/35kFs2WQM84GyGYwJww7sOy2+y9BH4cLIe:xqWZdY7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2479432bd3c94ec |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
ccc0c0c8c8cccc00 |
|
VISUAL
wHash
|
26707060404effff |
|
VISUAL
colorHash
|
31038000000 |
|
VISUAL
cropResistant
|
008080005cc88000,dcc8c4c0c8c8cccc |
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.