Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14CD27531B150263B1193C3CA77A1F35EE2E2924ADA96091663FC835D4BD7F90EE2351E |
|
CONTENT
ssdeep
|
768:TeFy5NwYyqdK+hdLBh1yh+0nJd/e7sOy2+y9BH4c1Ie:TyqU+hXh1L7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363d43ebc2da1c1 |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
9cc4c3e3cd8cd300 |
|
VISUAL
wHash
|
00fff1310000ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
d200c00258d88000,dcc4c3c3c9cdacd2 |
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.