Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D1F113E1D044DC3B131385E5B7B6675F7596C345CB020E8853F892FA5BDACA0C923A99 |
|
CONTENT
ssdeep
|
96:nkmdHkh4lzH0XfeGnVLizWFLDLhbf9wvF4etXhHFzdeS0Xuz/PVL1rQPJ:kmdHkh4lzH0X1nAzW3b2HiIzHfrQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e1c16b6b903e9696 |
|
VISUAL
aHash
|
427affffff0000ff |
|
VISUAL
dHash
|
8a8aa8b280091303 |
|
VISUAL
wHash
|
00627efeff0000ff |
|
VISUAL
colorHash
|
0f0000001c0 |
|
VISUAL
cropResistant
|
8a8aa8b280091303,9999b6b62729ac00,214976d41d411141 |
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 60 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)