Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T144F2A630E1C5343B827366CCF625672AB1E3824EC6534A1CB6FCC5EAABC6C94DE15199 |
|
CONTENT
ssdeep
|
384:V8NHyJRsgknhiUiyfiUiCnqLwrfmqiB3YCFuXePcQ7FpPkmMd:VyyJFknYbyKbkqLa03VFuecGF6mo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e98ed9531ce21936 |
|
VISUAL
aHash
|
fbfff3f100e8e0c8 |
|
VISUAL
dHash
|
4227272793998912 |
|
VISUAL
wHash
|
bbfff1f100e8e008 |
|
VISUAL
colorHash
|
07600018000 |
|
VISUAL
cropResistant
|
34b4b1e86cd80e4b,30d6c8d0a6b6d6d1,4227272793998912 |
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 42 techniques to evade detection by security scanners and make reverse engineering more difficult.