Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E76273319C8C6A3AD187C3D8F7697B27639A92C1CD0E4649EAEC06284BD1DC5EC2725D |
|
CONTENT
ssdeep
|
384:8sdDYfKjHf3u44zqybY0BY5U5zYt8CLDO7OQvyZswP:8sdDgKTf3u48ZY0YlHO7OQvo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c0de4a9e6a38ccf |
|
VISUAL
aHash
|
ff0018000000ffff |
|
VISUAL
dHash
|
77b37169f1f397e4 |
|
VISUAL
wHash
|
ff081c001818ffff |
|
VISUAL
colorHash
|
010000001c0 |
|
VISUAL
cropResistant
|
0066563676420045,2900000000000000,dfb37169f1f1b3f7,4114c4e4c4e42413 |
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 158 techniques to evade detection by security scanners and make reverse engineering more difficult.