Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T152138571D210D93B52F7C1D0A671DB5FB290C689C65B1B5807F8436EE6CEDB0EE22298 |
|
CONTENT
ssdeep
|
384:ra97yKbOAfnvo3io/D4ZOfQ8yER2pT8OuKR5zODXVrPVICuMe+JDfl+JDf1OKRtJ:+9VIfka7ZeC/J7wJ7BA4erQ4WF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
924d6d929365ba1b |
|
VISUAL
aHash
|
4200707c6e0e0201 |
|
VISUAL
dHash
|
9611c6ccc88cc6cf |
|
VISUAL
wHash
|
ff00707e6e4f0703 |
|
VISUAL
colorHash
|
38003000080 |
|
VISUAL
cropResistant
|
939aa29ad2e4e8f1,9611c6ccc88cc6cf |
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 48 techniques to evade detection by security scanners and make reverse engineering more difficult.