Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17AE164BB1042E81A25B18669B965B70CDD839E46E753FDC440E44F2EBAE0F61C500EDF |
|
CONTENT
ssdeep
|
192:HNkiaf8yMi4nbJX4FWvYxwkj2jfwHWaa6ZT5TheFTYdHxip:HNkiaf8k4ndX4AYxwkiE2P6ZT5TheFTd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333cccc66cc8c66 |
|
VISUAL
aHash
|
e7e7e7c7c7ffffff |
|
VISUAL
dHash
|
0c0c0c4c0c180000 |
|
VISUAL
wHash
|
c0c0c0c0c0c0fcfc |
|
VISUAL
colorHash
|
07040006000 |
|
VISUAL
cropResistant
|
0c0c0c4c0c180000 |
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 28 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)