Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T152522D342208667F582BC7ECF695F335A25AD14DE92BC538E1FC269552C3ED0C8539E4 |
|
CONTENT
ssdeep
|
384:EIbJKEPRU87r6QQhcDhxM6QIRXdX3Y+uMTpay5:TbgEPRU8ShhCVRXdX3Ypypay5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99c69640e1f1b769 |
|
VISUAL
aHash
|
0f1f0f0f0f0f0f0f |
|
VISUAL
dHash
|
da7a7a1b93b9baba |
|
VISUAL
wHash
|
0f0f0f0f0f0f0f0f |
|
VISUAL
colorHash
|
070020001c0 |
|
VISUAL
cropResistant
|
b4f4f63733b33634,fadadac8d8daf0d0,6cdd1630e9c95280 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.