Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T159C2A632A0406A3B4297D2CD76773B5EA2D3434EDA87190291FD83BE17D3D44DE2366A |
|
CONTENT
ssdeep
|
384:CQepLBOtR/NrBS6B8pxyns/WOtxrlR5rIOIWvIYsOy2+y9BH4cCUIe:CQepLqBOpFWOthdIg7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d23bbd329149c5c9 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
182cc0c8cccccd00 |
|
VISUAL
wHash
|
0c0478706464ffff |
|
VISUAL
colorHash
|
39038000400 |
|
VISUAL
cropResistant
|
0080800030b08000,982cc0c0c8cccccc |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.