Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C6E123E1D404ED374752C1D5F7B66B1BB6D1C34ACF02098463F883AB5BDAC60CA126D9 |
|
CONTENT
ssdeep
|
96:Tke4KOYReSTJ8v67eEbtctGytw4k8FWqXaHFZ6XwX/dOYBqHST5J:QIOYx98iXKtGyK9nXM0qyb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8303fcfc01fcfc03 |
|
VISUAL
aHash
|
3f2f3f3f3fffffff |
|
VISUAL
dHash
|
d4d8dcd8d0c80000 |
|
VISUAL
wHash
|
2727000000ffffff |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
d4d8dcd8d0c80000,f3c2b496b6b4c2f3,7171162800000000 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)