Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19B22B87250A95D3B021382E87FEA7B02A767C34AC6D34119C2FE978D0FD9D61DA13618 |
|
CONTENT
ssdeep
|
192:jnGhK8ZL4tnRumGqnR4Y06GvmwE4emwpjQo2hg+27:jGhDstnRumGqnR4Y06GZpoei7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccc3333336666cc |
|
VISUAL
aHash
|
0018180000000000 |
|
VISUAL
dHash
|
0cb2b22030000000 |
|
VISUAL
wHash
|
3c3c3c3cfcfcc0c0 |
|
VISUAL
colorHash
|
00000038000 |
|
VISUAL
cropResistant
|
8080808080808080,808080c0c0c08080,0cb2b22030000000 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)