Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16713A731A2002A3F5657C3C8F366B72A63F74289D78A002542FD477D4BD6E85EC37A69 |
|
CONTENT
ssdeep
|
768:cOy5NBvnHygO3/9hZz4S0KbePs+7sOy2+y9BH4c1Ie:ASgO3/9hZz4Abh+7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d76db01af9136582 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
1c06424263c8d900 |
|
VISUAL
wHash
|
00f7f2e02000ffff |
|
VISUAL
colorHash
|
31000000380 |
|
VISUAL
cropResistant
|
ddb9028012308000,1c06624a426248d9 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.