Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17A61B6FA54646C7F8102D3DC6774F31B2A638187CE850E80B5DC579C67C3ADDCA64889 |
|
CONTENT
ssdeep
|
48:T+pKcCUv5oBAmQn1hitnQXjnGbZEQW9FdRZiGXGf+GzG1c0:TRblqUQDXrF6F0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ebfd249d161e0332 |
|
VISUAL
aHash
|
00e3c1fcff3c1000 |
|
VISUAL
dHash
|
62075755c851718e |
|
VISUAL
wHash
|
00f3c1fdffd83c00 |
|
VISUAL
colorHash
|
020000001c0 |
|
VISUAL
cropResistant
|
0113525254445878,f1f1e1c3a33f5d1f,fe0010e80888284e,62075755c851718e |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.