Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C5D142B2E404AD279757A9D5D2AD3B1A7295C102CB87460483FC939C9BDFCC78D27326 |
|
CONTENT
ssdeep
|
96:T2vzcq5vOKRlUEebrGLJgR9zlie/PeZwooFAYK:apRgR9gpZBgAYK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
830e3e73cce163cc |
|
VISUAL
aHash
|
3f1f3f7f3f67eefe |
|
VISUAL
dHash
|
646afaf2f2c9c8e4 |
|
VISUAL
wHash
|
161e1a3c3c647c7e |
|
VISUAL
colorHash
|
07400030000 |
|
VISUAL
cropResistant
|
646afaf2f2c9c8e4 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.