Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EBE113E1C044DC3A131385E5B7F5275FB5A6C355CF020E8853F893AA5BDECA0C963A99 |
|
CONTENT
ssdeep
|
96:Tkf8+79oh4lzH03feGnVJgyEBxwvFRepXVHF6eJXfz/XVJUnQPJ:QfZ79oh4lzH031n4yEtrPlzf8nQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3834578bcbc9c86 |
|
VISUAL
aHash
|
0000ffffff000000 |
|
VISUAL
dHash
|
06d9e1200839236c |
|
VISUAL
wHash
|
003cffffff000074 |
|
VISUAL
colorHash
|
03000000007 |
|
VISUAL
cropResistant
|
dcc9203038300848,6303000000000000,0404002048c8d4ed,1a6939032323ec4c |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.