Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BCE142E1C044DC3A131385E6B7F52B5FB5A6C349CF020E8853F853EA5BDAC60C923A99 |
|
CONTENT
ssdeep
|
96:Tkq8Zm7kh4lzH03meGnVxXyEBZlwvFUelXOHFUetXJz/XVx6rQPJ:QqEm7kh4lzH03unTyE/YYlDzfurQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9303477db83cbc86 |
|
VISUAL
aHash
|
0000ffffff0000ff |
|
VISUAL
dHash
|
06d9e1200a236c43 |
|
VISUAL
wHash
|
0000ffffff0000ff |
|
VISUAL
colorHash
|
06000000007 |
|
VISUAL
cropResistant
|
dcc920303830080a,4380000000000000,0404002048c8d4ed,0303232323eccc23 |
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.