Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16C125033A000811E4EEB92EDFAD1F259915ED249F73488C2A5F8907FAA91CED607576C |
|
CONTENT
ssdeep
|
192:jJ6SOJ6TJLJhd0Z3yLRXrQ1CJwfMmUU8VCoHd:lgiLJ36y5k1CJwfMmUFCo9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
833f70323f363307 |
|
VISUAL
aHash
|
073f3f3f3f7f7f7f |
|
VISUAL
dHash
|
8f5eda73e2c3c6c4 |
|
VISUAL
wHash
|
07031b0f232f7f74 |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
8f5eda73e2c3c6c4 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.