Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10183E8B823183D6E604F87E4F765B759626E5121FA1FD5A8E2FC16A023C7C58AC378C0 |
|
CONTENT
ssdeep
|
1536:/tt5t2Hxz+EBPHLE7EsEr0+xEEEEXMIIII6nzIIIIqfdIIIIjIIII6nPIIIIqfRC:lGHs8efWif4WjY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b947c43939c22e9e |
|
VISUAL
aHash
|
ff8b878f8f81ffff |
|
VISUAL
dHash
|
521a0d193a1b8096 |
|
VISUAL
wHash
|
ab0a04058b81ffff |
|
VISUAL
colorHash
|
070020000c1 |
|
VISUAL
cropResistant
|
521a0d193a1b8096,4e183d70f2d2e804 |
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 322 techniques to evade detection by security scanners and make reverse engineering more difficult.