Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DD634539738229BBD1C7C7F6B6619BBAA0A9C35DCF47D649E2F8C34917E6C809D40610 |
|
CONTENT
ssdeep
|
1536:RnE3QZE3Q8H/jKTfbwgUKvlnVaY2D3ri1ujzyTH0cFxpqTH0cFxpq:RiKtHsU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8a55aa3774a355aa |
|
VISUAL
aHash
|
0018181818373f3d |
|
VISUAL
dHash
|
31b233f3b76a6be9 |
|
VISUAL
wHash
|
0018191b1b2f3fff |
|
VISUAL
colorHash
|
38000000c80 |
|
VISUAL
cropResistant
|
0008c06d2dac4000,31b233f3b76a6be9 |
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 49 techniques to evade detection by security scanners and make reverse engineering more difficult.