Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C31248B052A7897780B7CAE9E56D6B6AE1DE534CCF9382C212EDC3950BE6C41FC52940 |
|
CONTENT
ssdeep
|
96:MIHVS4SnS+M5XkM7WqJO1IQS/y1F9Sug8pSdsjqbEcqcydc9vv01nRiFLuWONcp8:M7xS+k81OGFAHdM801nRigWOGvu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7c73133ce3c308e |
|
VISUAL
aHash
|
20383c38380c0000 |
|
VISUAL
dHash
|
4840446460182000 |
|
VISUAL
wHash
|
ff3c3c3c3c3e1c00 |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
4840446460182000 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.