Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18B9365785252566B5293E7F8F2A1EB6FB0A8C70CCB5BD908B3FD41153BC6CC1C982694 |
|
CONTENT
ssdeep
|
1536:ToUP4SF1hG7CG7hohXhKG0hIuQhOMeXC7X8uGzvo51hG7CG7hohXhKG0hIuQhOMz:ToUrF1k7CG7ahXhKG06uQIMeXC7X8uGg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c8c0377a78f885c7 |
|
VISUAL
aHash
|
583c7ed940000000 |
|
VISUAL
dHash
|
b2e8f0b3a9323104 |
|
VISUAL
wHash
|
7c3cffffd9180000 |
|
VISUAL
colorHash
|
300010001c0 |
|
VISUAL
cropResistant
|
7696c9494949cdcd,a6a7d15f5bd9a524,b2e8f0b3a9323104 |
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 43 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)