Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AB0251E2D0649C360B5396D8BBF57B6B7772C384CF02095422F4536AABCEDA1C7118A9 |
|
CONTENT
ssdeep
|
192:QnFxRth4YnzH0LfWiEdYMlFYzb91tXbf61v8K:QnZX4YzQWXeMlGzbtfu8K |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b90707f8f803fc86 |
|
VISUAL
aHash
|
0f0f0f0fcfcf0f0f |
|
VISUAL
dHash
|
5bdafe9a9a1a9a1a |
|
VISUAL
wHash
|
0f0f0f0f0f0f0f0f |
|
VISUAL
colorHash
|
160060000c0 |
|
VISUAL
cropResistant
|
acb8f8e0a0a0a0a0,7a7ab6969eea6236,006c6d6667c56209 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.