Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14ED28471A100363F126BC3C9B751F72EA2E3924DDA55080593FC875E4BE7EA0DE6352A |
|
CONTENT
ssdeep
|
768:PSzy5NcTKtiWJBYFvbTpN4OU1eEf7sOy2+y9BH4crIe:2KRJyTIOUAA7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c361d53ab21eb9c1 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
c8c3c3cccdc9c500 |
|
VISUAL
wHash
|
60fb70340001ffff |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
c400c00158d88000,c8c3d3c2cdcdc9c4 |
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.