Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15DA2CCFA45032DA6920B77B6D56A0F199CF94BC4FA970C2DB53C12FCAE84D504B0B2B5 |
|
CONTENT
ssdeep
|
384:Pd0HP+de0jJ88ErvRzqalzM4z6+zSzz/RzTezK7zO02GkH923364aczjApjaXOSy:Pd0HP+de0jJ88ErvMautz3ptu02GkH9j |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d9e4669b6c649364 |
|
VISUAL
aHash
|
fcfce0d8d8bc0000 |
|
VISUAL
dHash
|
1070003030790000 |
|
VISUAL
wHash
|
fcfcf8f8d8bc8000 |
|
VISUAL
colorHash
|
00000000e00 |
|
VISUAL
cropResistant
|
a65839a727a2a282,8080e09696c0b280,269c786488808080,1070003030790000 |
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 46 techniques to evade detection by security scanners and make reverse engineering more difficult.