Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E6A276B23901683622D383D7F167362EA3C2D69ACB4295D079F4C23E5FF2DE1B995214 |
|
CONTENT
ssdeep
|
192:p2K4vhugsbaM+gStftP/onocmB7mQQuR80GhUoVhQ/YQlqCwfQ6y84gHBk:p2K4vhkbi73CmB7zXr5TPwY6d2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9610e969e53e1b9c |
|
VISUAL
aHash
|
00041e040000ffff |
|
VISUAL
dHash
|
b4f4fcecc4012760 |
|
VISUAL
wHash
|
007f1f170000ffff |
|
VISUAL
colorHash
|
1e1c0000000 |
|
VISUAL
cropResistant
|
bab237f3727a7071,2726266064162636,b4e4fcfcecc4cbc3 |
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 942 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)