Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T108E124E0C054ED3B5353C6E5B7B56B0F7395C345CF020A4853F893AB5BCACA0DA22999 |
|
CONTENT
ssdeep
|
96:TknQ7QzH0XfeGngoiv1LGLFEyX8HFHH6XmdCY+/4VoHpxcQDUR:QnQ7QzH0X1nMNLGILChA8WQe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f3b31ccc4eb21919 |
|
VISUAL
aHash
|
ffe7e7e7ffff0000 |
|
VISUAL
dHash
|
080c0c0c08000000 |
|
VISUAL
wHash
|
e7e3e3c3dbe70000 |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
080c0c0c08000000 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.