Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T190D2B771A150363B125BC3C97716F31EA2E38249DB86081593FC879D4BE7D94ED6322E |
|
CONTENT
ssdeep
|
768:BSzy5NeiUYOZJdtsmwyGEEgteCq7sOy2+y9BH4crIe:bUfJjjwkEgI77sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c347c53a923839ed |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
c8c3c3c8cd09c500 |
|
VISUAL
wHash
|
64f370340001ffff |
|
VISUAL
colorHash
|
31000000c00 |
|
VISUAL
cropResistant
|
c400a00158d88000,d8c3c3c2cdcd09c6 |
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.