Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14F412031A158ACA72292C6D477E26B1F36C68309CB52260053FC839D66FAE4EED15488 |
|
CONTENT
ssdeep
|
24:hRKCCcASZcmDGguDfEaQybnKazYVMbqSQz0Q6kuoFi9Hz82CVJYBuBN+DrwkxHiJ:TKWhcqGgC9bKXIqSKFix82MiDDrHVe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f6a6989999266666 |
|
VISUAL
aHash
|
ffffe6feece4f8f0 |
|
VISUAL
dHash
|
00304c10084c3000 |
|
VISUAL
wHash
|
fcf8e0f8f8e0e0c0 |
|
VISUAL
colorHash
|
070060000c0 |
|
VISUAL
cropResistant
|
00304c10084c3000,00202804242428c0 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)