Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BD9174B97255173F12C38BF0F758FB3D51E9868EC147DD0AA0E483826AC9E55CC256A8 |
|
CONTENT
ssdeep
|
48:zHsh0dFpHVySzdS3lhHzEHBq0Yrk/g22+f9ppHuVhFQ0QctorktIp6ZMa691YWy3:zMQySZSsPYrL22+fdOj+hidMa3WyJR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed6d6dda52921292 |
|
VISUAL
aHash
|
c381cbffffffff00 |
|
VISUAL
dHash
|
23233be802220030 |
|
VISUAL
wHash
|
81008082ffffdf00 |
|
VISUAL
colorHash
|
07000000007 |
|
VISUAL
cropResistant
|
33233ba801000000,8101a5e4c4850185,3048c8938080a003,00100cb2b20c1000 |
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.