Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A522997262862AF711D382D5AF32BF6D73E58286C40B4F0472FDA3DA5F9AD42CD01149 |
|
CONTENT
ssdeep
|
96:TLd6xIFhq5QxAhmIJN4VWDqdwWqdwWqtwWqdwnqdwWqdwWqdwWqdwQqdwWqdwWqY:/d/f0zfRKaKFKKKAKKKBAQWpx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9ae56ae5654a1565 |
|
VISUAL
aHash
|
60ff3c3c1e9f0c0d |
|
VISUAL
dHash
|
cf4c70617e397d59 |
|
VISUAL
wHash
|
60ff3c3c1e8f0c0d |
|
VISUAL
colorHash
|
03401280000 |
|
VISUAL
cropResistant
|
8200806060800082,4d4460613e397d59,c4c4c7c7c7c7c439,48498993939767c7,86a68d8b88cd65d8,3574743707175151,66e3333737337f03,d0c9255105030303 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.