Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16B2339726322B87843CB91EEF7392956B2D6588DF8C74454F5C99ACD23C3C806297BB4 |
|
CONTENT
ssdeep
|
768:aC+EsZx8/G8R4yDaw0MLBkowVMLBkkwZUcix+y9dQpUDF1E56ITmHDLBABW8KPqf:aC+EsZ/8CyDaw0MLBlwVMLB7wZUXx+y6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fa7ac0953ec4c507 |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
0d094d094d000100 |
|
VISUAL
wHash
|
8180808181ffffff |
|
VISUAL
colorHash
|
16200030000 |
|
VISUAL
cropResistant
|
0d094d094d000100,020c188c8c0cac8c |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.