Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14623D73108D56F7F558392C89311A60BD3D5814CE3778A4AF5EAC31A2AC5E98C93EFD8 |
|
CONTENT
ssdeep
|
768:E6VufKfcvmbaQkj54yQwO/+kBhDm95hl2WA+c5L+YV+AYEJQ9:E68KfcvmbaQkj54jwO/+kXQhoW1+B+AS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9416ebeac8eaca94 |
|
VISUAL
aHash
|
fd06060606fffffb |
|
VISUAL
dHash
|
61ccccecec1c3333 |
|
VISUAL
wHash
|
fd060606060efff9 |
|
VISUAL
colorHash
|
0e000000180 |
|
VISUAL
cropResistant
|
00210961618901a2,96d6e8b294710f8e,e0181c2d33133323,ccccccccccececec,5b2fc6cec6c647d7 |
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.