Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T117416334C4044A1B15C1B5D8E73E651B4BDE91D9EB660A20F1F8997D0BF9F6D8872980 |
|
CONTENT
ssdeep
|
48:D21/8On3FAkmIkHVqNezGokGRGPw6Cz1g:fsAxg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
994c677362dcc989 |
|
VISUAL
aHash
|
00111b1d0d1f1f0f |
|
VISUAL
dHash
|
47b3b3b17979f8fa |
|
VISUAL
wHash
|
00191f1f0f1f1f1f |
|
VISUAL
colorHash
|
32202010000 |
|
VISUAL
cropResistant
|
0e1e604060606862,ced2d499a99383cb,6010b090a0a4483b,64a4edcec9d9d814,47b3b3b17979f8fa |
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 69 techniques to evade detection by security scanners and make reverse engineering more difficult.