Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T166E130F1D054ED37474385DAA7B66B1BB792C389CF03094493F883AF5BCACA0CA15699 |
|
CONTENT
ssdeep
|
96:Tk+O7M7E7J9nbzDJ1tkUc0V7xt8v67McdtGhfwvF1QeZXWHFmeJXaz/c8zYfd2S1:QvnbzDJ1bcCt8iIGtGhWwvUzk4cdJqg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f58a0cfd0a75dc0a |
|
VISUAL
aHash
|
ffffffffffff0000 |
|
VISUAL
dHash
|
2008080ec11616e9 |
|
VISUAL
wHash
|
9fe7e7e7ff000000 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
2008080c0c001616,96161e16c1020000 |
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 64 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)