Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A532EAB06154863AE607C6DCE470EF36B6C753CECE5692A4E2FC0F9B8AC6E154DE5180 |
|
CONTENT
ssdeep
|
192:EaPAnqV8UirBblw7yHyIZN9/7P0f+ABdsgws5bzNh:EWfmUidblw7lOzPcvbf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3f708f322cc8873 |
|
VISUAL
aHash
|
ffffffffe7ffff00 |
|
VISUAL
dHash
|
0c0c0c0c4d0800a8 |
|
VISUAL
wHash
|
00e72727e7e7fc00 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
4c0c0c004d4d1408,0000a48d8c800800,100cb2b2b20c1000,0020047879200400 |
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 780 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)