Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10AD100E0C014ED77435386D5EBBA6B1F7791C345CB03094593F883AB5BCACA0CE169A9 |
|
CONTENT
ssdeep
|
96:TkK7QzD0ieQ8v67MYzAt0VFm4KX3HF5/EjmXSz/hujCcjQPJ:QK7QzD0k8iIIAuMMzZE/jQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b34ccc4ccd4ccc |
|
VISUAL
aHash
|
e7e7e7e7ffffff00 |
|
VISUAL
dHash
|
080c0c0800000000 |
|
VISUAL
wHash
|
27272727ffff0000 |
|
VISUAL
colorHash
|
07c00600000 |
|
VISUAL
cropResistant
|
080c0c0800000000 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.