Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11873A632925668139197D2D5F1719B1F22828385C7070FA163F897BE7ECACF5AE122DC |
|
CONTENT
ssdeep
|
1536:pDDrMUgOUbJo+e4xumIulRbujue1uXuouqRPozXa6bZNf+mkR2GRleVO+eH99hGU:trMc4MAbiKFeTamkR2k8VleH99hG3SGc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93646c32cdcb1a9e |
|
VISUAL
aHash
|
20003c7c6e4c7c3c |
|
VISUAL
dHash
|
c4ced8d8dcd8d8d0 |
|
VISUAL
wHash
|
20007c7e7e4c7e7c |
|
VISUAL
colorHash
|
03200030000 |
|
VISUAL
cropResistant
|
c4ced8d8dcd8d8d0,f0ec496198dc84fa,72329dcd9998e1f1,7324849d9d98dc71,0003030303030600,2bebc9f92d2d250d |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.