Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16F533CE83751F2244A7302E740AF7455733D752B2C0C09A0F269E99AE6B44FAB067FC9 |
|
CONTENT
ssdeep
|
768:FgpYjlsCsEUBfTpiJGMB8v5Wv+M4yTMHDIv6RGz48KBoUzqH4+K+uQG/m4:y9CFUBrpIzev0WyTaJDQU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b131cece3131cec6 |
|
VISUAL
aHash
|
ffffc3c3c3ffffff |
|
VISUAL
dHash
|
4e209e9e9618160e |
|
VISUAL
wHash
|
20dfc3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07200200038 |
|
VISUAL
cropResistant
|
4e209e9e9618160e,d8d898dad8d8c800 |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.