Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16FF2D7AB314816E9C1F38FD8C81129543146EA5FC9718270C2F84E396BD25A5B39DF7E |
|
CONTENT
ssdeep
|
384:TDUmGpLeSe0Je0DL6Rgdb1aafQr0JDfS1dEs147RbO0vsFijYK/M94UZh3gl4oyT:YJDJWafOWkwhs4jY7yUjJoHtWLwjFq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2ad52c9255aad53 |
|
VISUAL
aHash
|
ffff8783fffcfcfc |
|
VISUAL
dHash
|
0c002d2e06001008 |
|
VISUAL
wHash
|
00ff8783d7fcc4c0 |
|
VISUAL
colorHash
|
07200e00000 |
|
VISUAL
cropResistant
|
0c002d2e06001008,444490b0948caa8e |
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 13 techniques to evade detection by security scanners and make reverse engineering more difficult.