Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T139C273B5526C9B3E7397078CF623B27A617E018EF90D0898557C52B543DBE88EC33998 |
|
CONTENT
ssdeep
|
192:Kfjeww5w/89ACAMCbNeVGYNqYtU8YrHfQyiyiyiyeeb7sXFle4S3Y8S/YSLVd+w1:N+5dbcVGYNqj8eb7sVGYI0UBkz+WKen |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed6992964d69583c |
|
VISUAL
aHash
|
f9cf81c193ffffff |
|
VISUAL
dHash
|
2b3a3313223c0acc |
|
VISUAL
wHash
|
b983818183c7ff66 |
|
VISUAL
colorHash
|
07200000280 |
|
VISUAL
cropResistant
|
2b3a3313223c0acc,ef773d0e87c7c1d0,196c7617030349c9 |
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 705 techniques to evade detection by security scanners and make reverse engineering more difficult.