Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13AA395734540293B15A397CAB334A72EF1C3884ADE034BA6D6F993C9BAD9CC0D55672C |
|
CONTENT
ssdeep
|
1536:P8hYsgpreKjraO8y6eKjg0x3j3F3Woh2SpIRyo:0Xdyfovpo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9e1271e134edcd4c |
|
VISUAL
aHash
|
001c3c3c3cff9f81 |
|
VISUAL
dHash
|
9c78707870712b2f |
|
VISUAL
wHash
|
001c3c3c3cff9f83 |
|
VISUAL
colorHash
|
06000000180 |
|
VISUAL
cropResistant
|
aea99aaeb2b2aa92,9c78707870712b2f |
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 119 techniques to evade detection by security scanners and make reverse engineering more difficult.