Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14413A57164682933432B46DBF0B76F1AB1D3C60CCA431891AAFC53FD4BDAC72EA45546 |
|
CONTENT
ssdeep
|
384:rjX5LthI6lNrbux4WeKa6MWEiNu7lnEF1/1g85cgX3JUTdTSMNo4PJNFN44JakNJ:rjX55hO4WSAuyF9yi3X+TdHPRvAdEHZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c8c8e362cbb9e362 |
|
VISUAL
aHash
|
d91818181800003c |
|
VISUAL
dHash
|
33b23232300c2060 |
|
VISUAL
wHash
|
ff1818181800207e |
|
VISUAL
colorHash
|
38000000180 |
|
VISUAL
cropResistant
|
33b23232300c2060 |
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 192 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)