Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19E124FE0D054DD37471285D9B7F56B6B7AA2C319CF010D8053F853AB97CECA08B2659D |
|
CONTENT
ssdeep
|
96:TkkP2zHO7fSTiU1w9wSFFEu8g448yXGhFPepXjHFlbe9XZHF6eRXvX/hl7yt7zMM:QkP2zHO2OU1wmdN6VGr75XZJyxMIC8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fc847c837a837b81 |
|
VISUAL
aHash
|
fff3ffffffffff00 |
|
VISUAL
dHash
|
0026263020000020 |
|
VISUAL
wHash
|
0083070f9fffff00 |
|
VISUAL
colorHash
|
070000081c0 |
|
VISUAL
cropResistant
|
0026263020000000,0020202020202020 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.