Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T157739733404D367A076B2BE4EA1A671E735E81CCCD128C505AEFC2D45BC7EA0CDB569A |
|
CONTENT
ssdeep
|
768:mFbWnpNgLFnHUkoL9jtYTOlok5ziz4oYumRjq6BUhq5U:mFbWnAYvziznYumRjq6Bp5U |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f00ff00f94f00ff1 |
|
VISUAL
aHash
|
003020000000e0e6 |
|
VISUAL
dHash
|
d46a6898ea489594 |
|
VISUAL
wHash
|
66ffafe82020e0e6 |
|
VISUAL
colorHash
|
11007000000 |
|
VISUAL
cropResistant
|
8c8cb5a9a069698c,d46a6898ea489594 |
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 180 techniques to evade detection by security scanners and make reverse engineering more difficult.