Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19F6233B17094253B1293D6C1B364E72FF7EBAE89CD92025193F883A90EDEE94DD22511 |
|
CONTENT
ssdeep
|
192:9UBoDizJY5wAHkI9CcBpHpY5Sztqe68rzp/3Etem7z:4ay6zC6Dh6CJEteCz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a5a45ed970a196dc |
|
VISUAL
aHash
|
ff000747002a7f00 |
|
VISUAL
dHash
|
86874e8e9e5ada25 |
|
VISUAL
wHash
|
ff7307c7002aff00 |
|
VISUAL
colorHash
|
30006200040 |
|
VISUAL
cropResistant
|
86874e8e9e5ada25 |
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 95 techniques to evade detection by security scanners and make reverse engineering more difficult.