Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13BA2B53132196E3F231386E5F591B3E4508DD35AC6A7CA68F6FC037667C1DE288631A9 |
|
CONTENT
ssdeep
|
192:sgRonXiy68DsqHsSXuJZAEmQTlCvOxBXCi7NVmcYpgBL0ebXww/a90PU6HQsv7S+:SnXv68mDsEN/YpYLDbJ/a968+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e7639918cc4c66e6 |
|
VISUAL
aHash
|
00e7e3e7e700ffff |
|
VISUAL
dHash
|
4e0c4e0f0c4d1814 |
|
VISUAL
wHash
|
00e7e3e7e700c1e7 |
|
VISUAL
colorHash
|
06000038000 |
|
VISUAL
cropResistant
|
4e0c4e0f0c4d1814,0c30305252626260,0b3333b79efc1c32,b5757d6255b5afcb,0101000001010101,0303034040020b03,0000000000000000 |
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.