Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11743C4319684AA3B0A97A2E052397B1EF3D0C21ACEE3060166F4CB4D4FD7DD5DF16968 |
|
CONTENT
ssdeep
|
384:yHgsd2XTxhirVFmW9S3WN+gnNbpszhoRH/fv4eKIQkiGpOhT3oKJdjWhro5ft:1NXTxhirVFEm+oNGqv4MUnWhro5F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f56f42c39825d16 |
|
VISUAL
aHash
|
0000240000ffffff |
|
VISUAL
dHash
|
d46c495bfb230012 |
|
VISUAL
wHash
|
00ac3c0000ffffff |
|
VISUAL
colorHash
|
16601008000 |
|
VISUAL
cropResistant
|
99ab2ed126266565,262ae85c95319437,9e942d2e75543434,ede9b99297b7e3e3,b23237a36b13133b,230a230012201212,d4436c684973db33 |
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 81 techniques to evade detection by security scanners and make reverse engineering more difficult.