Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AD338573808D60365692CAD8B234FA8EE1DDA018C71A3D8409F69A9FCFD3F71CC61695 |
|
CONTENT
ssdeep
|
384:owEfEbEfEUgI3o868js8Y878O8G8CmTGwsvvI25Hd+E1BhbNveMPl6dlQRauzdEX:TsvvI25HdDhbEM96Pv/Jcv2gMa6VJ5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9396646d6999927c |
|
VISUAL
aHash
|
003e7e3e0000007c |
|
VISUAL
dHash
|
b2d4d4d033ccf0d1 |
|
VISUAL
wHash
|
5a7e7e7e1800187e |
|
VISUAL
colorHash
|
30e00000040 |
|
VISUAL
cropResistant
|
f9f979f9f9f97c7a,b2d4d4d033ccf0d1 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.