Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T148C2217822416ABB42C397B0F671AB3EE299D798C627DA4AB3FC82165BC7C44CD41354 |
|
CONTENT
ssdeep
|
768:r3V0MW32XdM0JYCWYEDNpP6rZPe1SnRdbMcCxSWtTY:yvY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a3553885d6ab5caa |
|
VISUAL
aHash
|
0303017064616301 |
|
VISUAL
dHash
|
3207a3cccccacb25 |
|
VISUAL
wHash
|
ff0323767e706301 |
|
VISUAL
colorHash
|
38001058000 |
|
VISUAL
cropResistant
|
8008c06d2d801080,3207a3cccccacb25 |
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 30 techniques to evade detection by security scanners and make reverse engineering more difficult.