Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T151E2FB327110363752AB93CEB362F35AA2E39349F74A1411A2FD836D0BE3D55DA33526 |
|
CONTENT
ssdeep
|
768:oSky5NxvXLIWZgKEEx1acjl7sOy2+y9BH4c1Ie:bX1EMl7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c361bc1eed08c3b3 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
9288c8c2cacccc00 |
|
VISUAL
wHash
|
00e4ee702024ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
0c0080025cd88000,888cc8cac2c8ccec |
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.