Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T119F20C216944ED6640CBAAC8A433023661FE5355E61746CDFAB4CBF94BEECADCE33411 |
|
CONTENT
ssdeep
|
384:vsJO5xVZjqTSoh+SN7NBXELiy/Y+nPacLv9FcfnDroUa87y:vsIx/jQFZELk+CulFcfQUf7y |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93447e91e9c6383b |
|
VISUAL
aHash
|
0006043e3e3ebf81 |
|
VISUAL
dHash
|
c4dcdce8cad8693b |
|
VISUAL
wHash
|
000e0c7e7e3ebf85 |
|
VISUAL
colorHash
|
18000008180 |
|
VISUAL
cropResistant
|
93e6e26bc9c1c080,8e084a212129888a,c4dcdce8cad8693b |
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 73 techniques to evade detection by security scanners and make reverse engineering more difficult.