Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13333E57363484BBF1183D3C8F6F036197291928AF9EAD1C6DB875365AC4ACF79074829 |
|
CONTENT
ssdeep
|
768:h5fIalkZ5NIAdFJhCHvELcnIqZ8ZuTrjP+I5wiSmLroDrLU6YIkq0:healkZ5v/EbbSav2uBQf0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f8a52c25a5fca52 |
|
VISUAL
aHash
|
ffffffffffff0000 |
|
VISUAL
dHash
|
ed6c614080255652 |
|
VISUAL
wHash
|
00bfbfbf0c0c0000 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
ed4e616060400000,444656521a569291 |
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 124 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)