Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T152E113E0D014ED3B5353C6D5B7B56B1F77A5C349CB02094453F893AB5BCECA0CA229A9 |
|
CONTENT
ssdeep
|
96:Tknt7QzH0XfeGqNMStYGLFPqXXHFACXfCY+/aP8VMUZxcQDUR:Qnt7QzH0X1qnYGGfChiUrWQe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f3b31ccc4c36b119 |
|
VISUAL
aHash
|
ffffe7ffffff0000 |
|
VISUAL
dHash
|
080c0c0c00000000 |
|
VISUAL
wHash
|
e7c2c2c3ffff0000 |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
080c0c0c00000000 |
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.