Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E9D2B73260006E3B0197D2C9B371A32ED2A7524EE7570911A6FE83AD4EF7D94CA37916 |
|
CONTENT
ssdeep
|
384:tQy5NJ5dtqoQmQ8Y+6gadHy8mbfaa8+wIYsOy2+y9BH4ciUIe:tQy5NJ5miANl/H7sOy2+y9BH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d244fc32ed3892cd |
|
VISUAL
aHash
|
002000000004ffff |
|
VISUAL
dHash
|
9cccc8d8c8cc3c00 |
|
VISUAL
wHash
|
00fe7000206effff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
ca754d4d4d715596,1080800458988000,9cccc4c8c8c9cc3c |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.