Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18A41CB70506CAC67A782D6D0BAF8AF1B2281C356CF075B1492F8C78D0DDAC56DC89374 |
|
CONTENT
ssdeep
|
48:7/kK4azkWEyBHSWxdnW3f1qsfgU0QqUVA9W:vFIWEwSW3nI1RlkW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b135c6cf99336464 |
|
VISUAL
aHash
|
ffe3c3cfdfffffff |
|
VISUAL
dHash
|
20069e9990780c00 |
|
VISUAL
wHash
|
fcfcc0cc1c3c0000 |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
20069e9990780c00,00238b8b8b452101 |
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 1 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)