Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D103EE306841ED2742CBA9D9A2725669A3F54346C6131688FAF4C7F95BEFC6CCE33520 |
|
CONTENT
ssdeep
|
384:73nsJO5xVZjqTSgIgNqqoty2Td3ziroUa879ft:73nsIx/jyoty2TdVUf79F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
89d1a277abd9a2c4 |
|
VISUAL
aHash
|
6c18381808001819 |
|
VISUAL
dHash
|
d9317113928cb2b1 |
|
VISUAL
wHash
|
7c79bdddc8c01819 |
|
VISUAL
colorHash
|
380000006c0 |
|
VISUAL
cropResistant
|
d9317113928cb2b1 |
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 65 techniques to evade detection by security scanners and make reverse engineering more difficult.