Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EF73847261466A3F518346E1831CE359E383D209DBAB4A5FD7E8431B23D6DF0DE3A1A4 |
|
CONTENT
ssdeep
|
1536:LBnBxT7XUnzDj8eZ6ZEBUpmU2IQv4Y+02pPD5mYMiAWVnTMQ2aUn8/xo2as7BKt2:lWRjRXLWl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2506cbe96d696b8 |
|
VISUAL
aHash
|
00003c7e7effd1ff |
|
VISUAL
dHash
|
cc93ccd0cccc238e |
|
VISUAL
wHash
|
00003c7e7effd1c3 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
ccc8d4cccc236296,84cbe193c8c8dcd4,4561417971690141,17496969696995a5,00454d7171414541,b6db69a5a7ad2400 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)