Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T169A29830B063583F12677DD7F8E1DB5A22C6E34ECB235450D6FA53DA1BC1ED0A8A2961 |
|
CONTENT
ssdeep
|
192:ku7HtZzNZcKPlfyzQfydZciuZcqdUS5pU7SQrPn8NpUiqjCPhOy:TRZpdKzQfwciIcquS5qOIP8N+POPhOy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e749493f36361919 |
|
VISUAL
aHash
|
00e0e0e7e7e7e7ff |
|
VISUAL
dHash
|
06014d4c4d4d4d0c |
|
VISUAL
wHash
|
00e0e0e7e7e7e781 |
|
VISUAL
colorHash
|
070000300c0 |
|
VISUAL
cropResistant
|
46014d4c4d4d4d0c,198183b186ec6c1d,00001030b0b41800,a6c5a0922cc0c408,0c866784a0d830fc |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)