Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T179D28432A114363F11A7C3C97752B71EA3F3524AEB46090952FD836D5BD7E50EE2322A |
|
CONTENT
ssdeep
|
768:SSzy5NufJIbQZifvUagEaAEeuCC7sOy2+y9BH4cLIe:jc7aATu7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343c53a961e3cec |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
c0c3c3c8ed09c500 |
|
VISUAL
wHash
|
6cf970340000ffff |
|
VISUAL
colorHash
|
31000000c00 |
|
VISUAL
cropResistant
|
c440a08058d88000,d8c3c362cded19c4 |
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.