Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B362FB237304237107960225EB4792FCD3159064E3255E6CD5FD83C82ACA6A9EBB7A96 |
|
CONTENT
ssdeep
|
384:4Fru7NsIXO9hoJI/hNDgJTQYsDXHY306q4:97Nso+hoJKPgJUDF4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b330ccd9cccc9b31 |
|
VISUAL
aHash
|
ffc7c7e7e7e7e7e7 |
|
VISUAL
dHash
|
304c4c4c48484c48 |
|
VISUAL
wHash
|
3f070727e4e4e4e4 |
|
VISUAL
colorHash
|
070000001d0 |
|
VISUAL
cropResistant
|
304c4c4c48484c48 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.