Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D0F377634119692E4437C3D075759B77D2A6D98FFAA70A004EDCC7B63BEEC90B81A12C |
|
CONTENT
ssdeep
|
1536:cg3xdUgQmTa3MZo+Hd1+G0K1jjC3leKTjSgVrKlKnK27RvmQbsniKH:cmxdOQul3/T+qwn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a49be69b6c83332c |
|
VISUAL
aHash
|
fd9c0c1c11bff3f3 |
|
VISUAL
dHash
|
4934bcf4733a2527 |
|
VISUAL
wHash
|
fd1c0c1c0193f3f3 |
|
VISUAL
colorHash
|
07c00018000 |
|
VISUAL
cropResistant
|
4934bcf4733a2527 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.