Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13282B73390C5A77722A3C7E5A720B618F78E659ACC4D2A25D6D5834F0BC0F78CC672A5 |
|
CONTENT
ssdeep
|
384:pENGddBNp473aYh1IHeMK7QHrBRQJiPO8iITRTbJak:eNsX2QHrBRisjiITRR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec6b949395c6c392 |
|
VISUAL
aHash
|
ff8181c181c3f7c3 |
|
VISUAL
dHash
|
33332b23333b2737 |
|
VISUAL
wHash
|
ff8181c181c3f7c3 |
|
VISUAL
colorHash
|
0e201010000 |
|
VISUAL
cropResistant
|
33332b23333b2737,71c8e4c6c6b2d879,e424373626a5b898,a2a2a2b2babb3b3a |
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 9 techniques to evade detection by security scanners and make reverse engineering more difficult.