Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14EC27471A1142B3B02B7C2C977A2B71E62D3834DC78A191253FD836D4BEBE40AD77166 |
|
CONTENT
ssdeep
|
768:Qe7vPAyJz9h+wuDKOf7sOy2+y9BH4c1Ie:/PRXzuDX7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c306b439bc3ce4e5 |
|
VISUAL
aHash
|
002420000000ffff |
|
VISUAL
dHash
|
dcc9c4e4c8c8c800 |
|
VISUAL
wHash
|
067c74302060ffff |
|
VISUAL
colorHash
|
39040000e00 |
|
VISUAL
cropResistant
|
c080c80458988000,d4c8cce4c0c8c8c8 |
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.