Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11CE110F1E054ED37435386D9A7BA6B0B7791C349CE030A4493F883AF5BDAC60CB11659 |
|
CONTENT
ssdeep
|
96:TkWk7nfzDJ1tknszft8v67Mcdwp2wvFReJXkHFReNXtz/qSytjw6fq+J:QXnfzDJ1bDt8iIGwiOWvzjyCaq4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4e41b9b1be144ce |
|
VISUAL
aHash
|
fff3f3c3ffffff00 |
|
VISUAL
dHash
|
1826261600140000 |
|
VISUAL
wHash
|
88c00000ffffff00 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
1826261612000000,0000000000000000 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.