Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15F13D63244886B3B619353C0E331961BD3E68244F677C699E1EAC71E43C4D95CC2BBAE |
|
CONTENT
ssdeep
|
768:NjvP7EzoXUBgm+XB1oNimXcO/SefEMt6U0LpgbIGbapqZXEJdX:NjvjEzoXUBQBq7XcO/55t6Dp6tsqZXEr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9414ebebcac8ca96 |
|
VISUAL
aHash
|
fd06060606fffffd |
|
VISUAL
dHash
|
61cceccccc3c3833 |
|
VISUAL
wHash
|
fd060606060efff9 |
|
VISUAL
colorHash
|
0e000000180 |
|
VISUAL
cropResistant
|
00210961618901a2,96d6e8b094710f8e,8038380d2c311113,ccccececccecccec,00000000000e4d4d |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)