Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T171C2A671A0106B374193E2CEB371672E96E3430ADB910229A2FD43AE4BF7D64DE73519 |
|
CONTENT
ssdeep
|
384:xa6HJL5IRwZUR0LqsxyHxSmGEHP2wNIjg5pmf2DTrI6IYsOy2+y9BH4cCUIe:Y6HmsOdHPTNIjgRTv7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d247dd329939b8a8 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
d8ccccc8cdcd8300 |
|
VISUAL
wHash
|
0c7c30006465ffff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
0080800030b08000,98ccc4c8c8cdcd83 |
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.