Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D9D34421C6A40333D205078AE7EB7756639BC1C7CD92B8F8E1648174DBBAD891C77DA2 |
|
CONTENT
ssdeep
|
3072:QHKJrjylK2E6IOZuagKI3ImJS2gcIYLQICeIkPksuGIyIhuBn9Cjhm:4KNQ5IBf3N0jE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed16b5926a934635 |
|
VISUAL
aHash
|
fff1000000f1fbfb |
|
VISUAL
dHash
|
8f22624345e31293 |
|
VISUAL
wHash
|
fff0200000f1fbfb |
|
VISUAL
colorHash
|
06e00008000 |
|
VISUAL
cropResistant
|
0a22634345e31293,00020dd4d4d40304,9696969311531b59,8202020606060606,9f8d0d8c8f232260 |
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 19 techniques to evade detection by security scanners and make reverse engineering more difficult.