Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12F213332B004AC3E1223C3D9FB95B72616A4D6E0C71E1541AADE83ED4FD6E58FC23284 |
|
CONTENT
ssdeep
|
24:hR/Y9XqXs9RhMZ8/da8djojhllUYllbmYeBhzQ3VVqQ+v+vdq5/6Puz/X:TwjPg89mlbrEW3V4+vzmTX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
865b7478137762c9 |
|
VISUAL
aHash
|
00003f371f373737 |
|
VISUAL
dHash
|
e8f4e06af2e4e4e4 |
|
VISUAL
wHash
|
00001f3f1f373f37 |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
e8f4e06af2e4e4e4 |
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 34 techniques to evade detection by security scanners and make reverse engineering more difficult.