Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T122D32321C6A41333D215078AE3DB7756669BD1C7CCA2B8F8E1708174DBB9C891CB7DA2 |
|
CONTENT
ssdeep
|
3072:8yKXrjylK2E6IOZuagKI3ImJS2QMIYLQICeIkPksuGIyIhuBn1odR:/KbQ5Ixf3NmdR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ebe491e6ea926d04 |
|
VISUAL
aHash
|
fffff1f1f1000c08 |
|
VISUAL
dHash
|
2e2242434723d8da |
|
VISUAL
wHash
|
fffbf1f1f0000c08 |
|
VISUAL
colorHash
|
07200000180 |
|
VISUAL
cropResistant
|
2f2222424345c723,aca787a7a7238999,6464a5abab070d69,00020dd4d4d40304,22424345e719d8da,1f0d0d0c8f232264 |
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 52 techniques to evade detection by security scanners and make reverse engineering more difficult.