Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11972F97712846B3F45B7C2BCFAB0F265825AC29DC637CA96E3DD067316C2D91D923284 |
|
CONTENT
ssdeep
|
384:FNi1e4ZpYYbKY+BRYQjYqj3YHp973wycTcsaqX5N2NjaNcFK:FNi1e4ZpYYbKY+BRYQjYqzYHp93wycTd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
da63a5bcc1bc942c |
|
VISUAL
aHash
|
fdf8c8c8989e9ffe |
|
VISUAL
dHash
|
6bd939193134322c |
|
VISUAL
wHash
|
fde08088989c9fde |
|
VISUAL
colorHash
|
072000001c0 |
|
VISUAL
cropResistant
|
6bd939193134322c,0303012091838e9e,2dd2a191d0998221 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.