Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1205387E223024F6E998782D5FB647B3AA199834AC6175C5DF3F90057EB83D1CEC563A0 |
|
CONTENT
ssdeep
|
768:At753NNkwRbxHxUKlsUA2dFIfadYgJIEHaW4ZHaWvyHaWTQHaW+aHaWhBWRh1nqu:At7dePK6zgoeG5ng |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f878f87264b60707 |
|
VISUAL
aHash
|
c0800000007effff |
|
VISUAL
dHash
|
38397135edcc1c92 |
|
VISUAL
wHash
|
c0c8080410ffffff |
|
VISUAL
colorHash
|
13001000180 |
|
VISUAL
cropResistant
|
a0585b43a6beb082,c2193d2ce05a9222,363970717d35e8cc |
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 121 techniques to evade detection by security scanners and make reverse engineering more difficult.