Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F045EAF5133C53EC95875B9EEF36E894131F60FEB9A288D0595E8BA890979C8F607C40 |
|
CONTENT
ssdeep
|
6144:j+zg4LhsT03lkufmsGeQIJmY9N2BBVJKGq7XXth:j+zg4AJur0JU7n |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e433339933cc329e |
|
VISUAL
aHash
|
c3c3c3c3e7ffffc3 |
|
VISUAL
dHash
|
0e1e0e0e0e96960e |
|
VISUAL
wHash
|
c0c0c0c0c3c3dbc3 |
|
VISUAL
colorHash
|
08007000000 |
|
VISUAL
cropResistant
|
0e1e0e0e0e96960e |
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 64937 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)