Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D493AB3A114D2E6B185349C4432CB666E7C2C24DDBD2EB4AEBE8435B79C6DD4CE390D8 |
|
CONTENT
ssdeep
|
1536:2JemgFQGR91C05I66yi+AJ4zBS03prHm1m2cWgdpN0DC9OY0z7ixmLj8S1p/Ff:2Jemgd35I65vUcBp3prHm1mfdpN0DqOT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e84096be166eb696 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
84d38b139233270c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06001000180 |
|
VISUAL
cropResistant
|
6094109783971094,242565643a22d3d3,a200222f37960082,8212382327000f0c,8c9393d3832b9393 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)