Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EFF12E22644CED3723235BC1B992B705E2D6C66AC6431B00D6BC539D0FEBED2E44665B |
|
CONTENT
ssdeep
|
192:qtJRuYMzfomYCgRCbEYCvd1fVe8bTjKkrfCjg1rfQj3rrfGdv:qtJRu1MTRMvete8bTjKkrqjg1rIj3rr8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc666699333333b1 |
|
VISUAL
aHash
|
0010001818181800 |
|
VISUAL
dHash
|
72624cb2b2b2b24c |
|
VISUAL
wHash
|
00103c3c3c3c3c3c |
|
VISUAL
colorHash
|
07007000080 |
|
VISUAL
cropResistant
|
b2a2e8b233aaba92,72624cb2b2b2b24c |
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 112 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)