Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T175C2B871A1006A37529383CAB361376F62F3470ADB4A066A93F9437D1BD7E40DE6742E |
|
CONTENT
ssdeep
|
384:Sr63SRIRG+ztBfyJdtHSFH3Hkb0/KonEVIIYsOy2+y9BH4cCUIe:M63rS5HSFH302T7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d246dd3a9939b889 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
98ccc0c8cd8d8300 |
|
VISUAL
wHash
|
0cf430006465ffff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
0080800030b08000,18ccc4c8c8cd8d8b |
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.