Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E9E26660702DBE33824381EEF2A67B2B71D6C143EB9B251041FA43FA8FD5C65DD26466 |
|
CONTENT
ssdeep
|
768:9jwUgSKYZnrbBpeSVp08ccMWU1qtXa/OdpERl6:m5SXJ5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c4e63b993393cc26 |
|
VISUAL
aHash
|
70f07078761e0e0e |
|
VISUAL
dHash
|
c0c0e0c0ccb0fc3c |
|
VISUAL
wHash
|
f0f0f878761e0e0e |
|
VISUAL
colorHash
|
38000e00000 |
|
VISUAL
cropResistant
|
c0c0e0c0ccb0fc3c |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.