Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17F233B326236B82853DB54DEE73D3A5666C1884DF8C78410B5D922CD23C7CA67297BF8 |
|
CONTENT
ssdeep
|
1536:a8WrcycMkcIzeeYeeywHMWBywEMWBPYPMWBbY8MWBL7UXx+y9dQyDF1ZAU84HaX4:a8XwQw+YBYY7UXxpDzHy4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ad6d6c6cc6c26cc2 |
|
VISUAL
aHash
|
8183ffe7ef81ffff |
|
VISUAL
dHash
|
170f080e0f330002 |
|
VISUAL
wHash
|
0081c3c3c381ffff |
|
VISUAL
colorHash
|
07000000006 |
|
VISUAL
cropResistant
|
170f080e0f330002,202020a050caca10,4240364949164800 |
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 70 techniques to evade detection by security scanners and make reverse engineering more difficult.