Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CAF1B83111402D3E1A678A98FBE8F129561FD589C62B529DD3DC117933C7EB4CC336A8 |
|
CONTENT
ssdeep
|
96:TSDOCTTD/TbQFgbQpkhJ1YdvfIn+5jt9lMvfcHmfaQxZkV883XQBZkB3a8830YMd:eSC/D/TWgmYJ1Y1I+FpMcOAX45X0YMJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc3333cc66339966 |
|
VISUAL
aHash
|
0018181818181800 |
|
VISUAL
dHash
|
0810323232b2300c |
|
VISUAL
wHash
|
00181818d8d8d8c0 |
|
VISUAL
colorHash
|
38000000e00 |
|
VISUAL
cropResistant
|
0810323232b2300c |
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 30 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)