Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E6E29632D116B83F06EBA3D1B7B8A35A22D54389D943072A42FD874D0FFBD91DE52894 |
|
CONTENT
ssdeep
|
384:mUFII00IIIII9plB9z79bkOmjdI7UWngOe+m1g8HlpW:LFIIlIIIIIdhvEq79WqEy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
87e3791c1839e696 |
|
VISUAL
aHash
|
00e3e7ff3f3c1818 |
|
VISUAL
dHash
|
87cfcfdbe5e1f0f0 |
|
VISUAL
wHash
|
00e3e7ef7f381818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ce9c888c0c,0000606860440000,87cfcfdbe5e1f0f0 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)