Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T194E2F7F451A8B5E69183CBE4E6356A3636A7A0FADF47CB4483E097D4DA86CCDCC48C41 |
|
CONTENT
ssdeep
|
384:37gXJ+vbAra5t89/aIyWVv8Y3YXBHT+d1wRryHrRCxP8J:3vbA2E/3OYIxHT+d1wRr3xP2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
98cf6730cc31ccc7 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
3270b2b2b2b298f1 |
|
VISUAL
wHash
|
18387e5e585c40ff |
|
VISUAL
colorHash
|
06000007000 |
|
VISUAL
cropResistant
|
8e9ef0e4a6aa8c96,3270b2b2b2b298f1 |
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 9 techniques to evade detection by security scanners and make reverse engineering more difficult.