Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E9C26671A114673B02A7C2C973A1FB1FA2D3868AC74A191153FD836D4BEBE10FD27196 |
|
CONTENT
ssdeep
|
768:Be4Z9erAOjiFkD9tUJe7sOy2+y9BH4c1Ie:B9ehV9th7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3039679bc3cb5a1 |
|
VISUAL
aHash
|
003400000000ffff |
|
VISUAL
dHash
|
dcc8cce4c8c8c800 |
|
VISUAL
wHash
|
027c7c302060ffff |
|
VISUAL
colorHash
|
39040000e00 |
|
VISUAL
cropResistant
|
c880c80458988000,dcc9c8ccc0c8c8c8 |
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.