Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13493847616496EBF104341D4D21CAB8AE783D60BC392C54AA3B8D35F7EC2DD1DA291F8 |
|
CONTENT
ssdeep
|
768:JHbhdh11dVdq9hylZlTV+WVlVddJ1ewWbhdh11dVdq9hylZlTV+WVlVddJ1ewKRK:R4QRxC0yH3w40bn2cIY9B0uxmLj8aL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2506cbe969696bc |
|
VISUAL
aHash
|
00003c7e7efff3ff |
|
VISUAL
dHash
|
8c93ccd0cccc27cc |
|
VISUAL
wHash
|
00003c7e7eff81e7 |
|
VISUAL
colorHash
|
0e0060000c0 |
|
VISUAL
cropResistant
|
ccc8d4cccc23cc4c,8c92d293c0c8dcd4,4551253131394551,80ed252dedada2a9,01456171714d4180,a425440401dc8c9c |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)