Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13F1298343009853E91D7C3E5A57577B6B185C24CCBA7AA8722EFC27B5ACAC51DC90784 |
|
CONTENT
ssdeep
|
192:PManD/HX3AAx5vyRF5XLzYSG2lkZNMlB0F8:3D/HNx5vyf5XL0N2lkAlB0F8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c606b1fa3ba1f944 |
|
VISUAL
aHash
|
0430720010faff00 |
|
VISUAL
dHash
|
a8e8e6c82024c420 |
|
VISUAL
wHash
|
44307a0010dbffff |
|
VISUAL
colorHash
|
38007000000 |
|
VISUAL
cropResistant
|
a8e8e6c82024c420 |
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 684 techniques to evade detection by security scanners and make reverse engineering more difficult.