Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10FF11E32A44CED3B23235BD1B892B715E2D6C26EC6431710D6B8439D0FEBED2E44665B |
|
CONTENT
ssdeep
|
192:9HAQJvkYMzA9mYCgRCbEMvd1AKe8bTjKkrARjg1rApj3rrAhdv:pAQJvk1AlTRM3AKe8bTjKkrARjg1rApG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc66669933993399 |
|
VISUAL
aHash
|
0010001818181818 |
|
VISUAL
dHash
|
7262b2b2b2b2b2b2 |
|
VISUAL
wHash
|
003818181c1c1c1c |
|
VISUAL
colorHash
|
02e00000000 |
|
VISUAL
cropResistant
|
6969696969791a84,2071600133697ad2,7262b2b2b2b2b2b2 |
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 104 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)